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Prathmeshp20/pandas-cheatsheet.ipynb

Created January 31, 2021 06:22
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pandas-cheatsheet.ipynb
{
"cells": [
{
"metadata": {
"_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19",
"_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5",
"trusted": true
},
"cell_type": "code",
"source": "# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n for filename in filenames:\n print(os.path.join(dirname, filename))\n\n# You can write up to 5GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session",
"execution_count": 1,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "import pandas\nimport pandas as pd\nimport numpy\nimport numpy as np\nimport random as rn\nimport functools\nimport re\n\nimport warnings\nwarnings.filterwarnings('ignore')",
"execution_count": 3,
"outputs": []
},
{
"metadata": {
"_cell_guid": "79c7e3d0-c299-4dcb-8224-4455121ee9b0",
"_uuid": "d629ff2d2480ee46fbb7e2d37f6b5fab8052498a",
"collapsed": true
},
"cell_type": "markdown",
"source": "\n<a id=\"top\"></a>\n\n<div class=\"list-group\" id=\"list-tab\" role=\"tablist\">\n\n<font color=\"teal\" size=+1><b>Content List</b></font>\n \n* [1. Check Pandas Version](#1)\n* [2. Create Numpy Array: Create three columns with Zero values](#2)\n* [3. iLoc in Pandas : Print first five rows](#3)\n* [4. Create Random integer between 2 to 10 with 4 items](#4)\n* [5. Create Random integer between 0 to 100](#5)\n* [6. Create Random integer between 2 to 10 with 4 columns](#6)\n* [7. 2D array with random between 0 and 5](#7)\n* [8. Create Random integer between 0 to 100 with 10 itmes (2 rows, 5 columns)](#8)\n* [9. 3 rows, 2 columns in pandas](#9)\n* [10. Fill Random Science and Math Marks](#10)\n* [11. CSV to DatRaframe (from_csv)](#11)\n* [12. CSV to Dataframe (from_csv)](#12)\n* [13. First 4 rows and 2 columns of CSV](#13)\n* [14. Show even rows and first three columns](#14)\n* [15. New columns as sum of all](#15)\n* [16. Delete Rows of one column where the value is less than 50](#16)\n* [17. Delete with Query](#17)\n* [18. Skip single row](#18)\n* [19. Skip multiple rows](#19)\n* [20. Select Column by Index](#20)\n* [21. Skip rows](#21)\n* [22. String to Dataframe](#22)\n* [23. New columns as max of other columns](#23)\n* [24. New columns as max of other columns](#24)\n* [25. New columns as max of other columns](#25)\n* [26. Fill with average](#26)\n* [27. New columns as sum of all](#27)\n* [28. Unicode issue and fix](#28)\n* [29. Fill with average](#29)\n* [30. Last 4 rows](#30)\n* [31. Expanding Apply](#31)\n* [32. Get 3 and 4th row](#32)\n* [33. Last 4th to 1st](#33)\n* [34. iloc position slice](#34)\n* [35. Loc - iloc - ix - at - iat](#35)\n* [36. Random data](#36)\n* [37. Filter with the value comparison](#37)\n* [38. Filter between 5 and 10 on col 1](#38)\n* [39. Filter between 15 to 20](#39)\n* [40. Filter between 15 to 33](#40)\n* [41. Custom method and xrnage on dataframe](#41)\n* [42. Set index with date column](#42)\n* [43. Change columns based on other columns](#43)\n* [44. Change multiple columns based on one column values](#44)\n* [45. Pandas Mask](#45)\n* [46. Check high or low comparing the column against 5](#46)\n* [47. Student Marks (Pass or Fail)](#47)\n* [48. Get passed grades](#48)\n* [49. Students passed in Language and Math](#49)\n* [50. Students passed in Language and Science](#50)\n* [51. Loc with Label oriented slicing](#51)\n* [52. iloc with positional slicing](#52)\n* [53. Label between numbers](#53)\n* [54. Stars with names](#54)\n* [55. Row label selection Age is above 25 and movies above 25](#55)\n* [56. Stars in in certain ages](#56)\n* [57. Inverse opeartor !( above one.45 and below two.50 )](#57)\n* [58. Apply custom function](#58)\n* [59. Group by single column](#59)\n* [60. Creating new Columns using Applymap Sides & applymap](#60)\n* [61. Replacing some values with mean of the rest of a group](#61)\n* [62. Students passed in Language or Science (any one subject)](#62)\n* [63. possible errors: TypeError: 'Series' objects are mutable, thus they cannot be hashed](#63)\n* [64. argsort Select rows with data closest to certain value using argsort](#64)\n* [65. argsort with stars](#65)\n* [66. Argsort with actors - young stars (near by 17)](#66)\n* [67. Binary operators - Stars with - younger than 19 - very young](#67)\n* [68. Young, Higher Salary, and Higher Position](#68)\n* [69. Rename columns](#69)\n* [70. Add a new column](#70)\n* [71. Drop a column](#71)\n* [72. Drop multiple columns](#72)\n* [73. Drop first and last column](#73)\n* [74. Delete by pop function](#74)\n* [75. DataFrame.from_items](#75)\n* [76. Pandas to list](#76)\n* [77. Pandas rows to list](#77)\n* [78. Pandas rows to array](#78)\n* [79. Pandas rows to map](#79)\n* [80. Pandas rows to map](#80)\n* [81. Drop duplicates](#81)\n* [82. Selecting multiple columns](#82)\n* [83. Selecting multiple columns](#83)\n* [84. Row and Column Slicing](#84)\n* [85. Iterating rows](#85)\n* [86. Iterating tuples](#86)\n* [87. Iterating rows and columns](#87)\n* [88. List of Dictionary to Dataframe](#88)\n* [89. Is Null](#89)\n* [90. Sum of all nan](#90)\n* [91. Sum of all nan rowwise](#91)\n* [92. Sum of all nan as list](#92)\n* [93. Change the order of columns](#93)\n* [94. Drop multiple rows](#94)\n* [95. Drop multiple rows by row name](#95)\n* [96. Get group](#96)\n* [97. Get the the odd row](#97)\n* [98. Get the even columns](#98)\n* [99. Odd rows and even columns](#99)\n* [100. Drop duplicates](#100)\n* [101. Drop all duplicates](#101)\n* [102. Basic group by](#102)\n* [103. Missing Data: Make A'th 3rd coulmn Nan](#103)\n* [104. Reindex](#104) \n* [105. Column reset Nan](#105) \n* [105. XY](#105) \n* [106. XY](#106) \n* [107. Match with isin function](#107) \n* [108. Finding specific items by using `isin` function](#108) \n* [109. Exclude specific matching](#109) \n* [110. Apply a custom function on multiple columns](#110) \n* [111. iterrows as tuples](#111) \n* [112. Dataframe with NaN](#112) \n* [113. Simple Dataframe with NaN](#113) \n* [114. Pandas and Date with Range](#114) \n* [115. Pandas and Numpy Repeat](#115) \n* [116. read_sql in Pandas](#116) \n* [117. Get a single value by iat](#117) \n* [118. Get last n elements](#118) \n* [119. Add data one by one by using loc function](#119) \n* [120. Convert country in Dataframe](#120) \n* [121. Group by multiple columns](#121) \n* [122. Compare two dataframes](#122) \n* [123. Difference between datetime by only seconds or dates](#123) \n* [124. Get dates and delta days in Dataframe](#124) \n* [125. Get dates and delta days in Dataframe](#125) \n* [126. Date addition with time delta](#126) \n* [127. Converting Pandas innner list to numpy array without the word `list`](#127) \n* [128. Append series to existing Dataframe](#128) \n* [129. Cumulative sum with group by with multiple values](#129) \n* [130. Clean URL in Pandas String (remove string after specific item)](#130) \n* [131. Find any matching value](#131) "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# for i in range(105, 132):\n# print(f'* [{i}. XY](#{i}) ')",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "import pandas\nimport pandas as pd\nimport numpy\nimport numpy as np\nimport random as rn\nimport functools\nimport re",
"execution_count": 4,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "\n\n"
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"1\"></a>\n <font><b>Task 1:</b></font>\n <br><br>\n Check Pandas Version\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 1:') \nprint(pd.__version__)",
"execution_count": 5,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 1:\n1.1.3\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"2\"></a>\n <font><b>Task 2:</b></font>\n <br><br>\n Create Numpy Array\n <br>\n Create three columns with Zero values\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 2:')\ndtype = [('Col1','int32'), ('Col2','float32'), ('Col3','float32')]\nvalues = numpy.zeros(20, dtype=dtype)\nindex = ['Row'+str(i) for i in range(1, len(values)+1)]\n\ndf = pandas.DataFrame(values, index=index)\nprint(df)\n\ndf = pandas.DataFrame(values)\nprint(df)",
"execution_count": 6,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 2:\n Col1 Col2 Col3\nRow1 0 0.0 0.0\nRow2 0 0.0 0.0\nRow3 0 0.0 0.0\nRow4 0 0.0 0.0\nRow5 0 0.0 0.0\nRow6 0 0.0 0.0\nRow7 0 0.0 0.0\nRow8 0 0.0 0.0\nRow9 0 0.0 0.0\nRow10 0 0.0 0.0\nRow11 0 0.0 0.0\nRow12 0 0.0 0.0\nRow13 0 0.0 0.0\nRow14 0 0.0 0.0\nRow15 0 0.0 0.0\nRow16 0 0.0 0.0\nRow17 0 0.0 0.0\nRow18 0 0.0 0.0\nRow19 0 0.0 0.0\nRow20 0 0.0 0.0\n Col1 Col2 Col3\n0 0 0.0 0.0\n1 0 0.0 0.0\n2 0 0.0 0.0\n3 0 0.0 0.0\n4 0 0.0 0.0\n5 0 0.0 0.0\n6 0 0.0 0.0\n7 0 0.0 0.0\n8 0 0.0 0.0\n9 0 0.0 0.0\n10 0 0.0 0.0\n11 0 0.0 0.0\n12 0 0.0 0.0\n13 0 0.0 0.0\n14 0 0.0 0.0\n15 0 0.0 0.0\n16 0 0.0 0.0\n17 0 0.0 0.0\n18 0 0.0 0.0\n19 0 0.0 0.0\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"3\"></a>\n <font><b>Task 3:</b></font>\n <br><br>\n iLoc in Pandas\n <br>\n Print first five rows\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 3:')\ndf = pandas.read_csv('C:/Users/Prathmesh/Documents/data1.csv', sep=';', header=None)\nprint(df.iloc[:4]) # 0 - 4 = 5 values",
"execution_count": 14,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 3:\n 0\n0 capacity,score,length\n1 1,10,30\n2 2,20,30\n3 3,30,40\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"4\"></a>\n <font><b>Task 4:</b></font>\n <br><br>\n Create Random integer between 2 to 10 with 4 items\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 4:')\nvalues = np.random.randint(2, 10, size=4)\nprint(values)",
"execution_count": 16,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 4:\n[4 7 4 5]\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"5\"></a>\n <font><b>Task 5:</b></font>\n <br><br>\n Create Random integer between 0 to 100 \n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>\n"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 5:')\ndf = pd.DataFrame(np.random.randint(0, 100, size=(3, 2)), columns=list('xy'))\nprint(df)",
"execution_count": 15,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 5:\n x y\n0 59 24\n1 29 29\n2 61 44\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"6\"></a>\n <font><b>Task 6:</b></font>\n <br><br>\n Create Random integer between 2 to 10 with 4 columns\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 6:')\ndf = pd.DataFrame(np.random.randint(0, 100, size=(2, 4)), columns=['A', 'B', 'C', 'D'])\nprint(df)",
"execution_count": 17,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 6:\n A B C D\n0 70 40 90 95\n1 50 52 30 72\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"7\"></a>\n <font><b>Task 7:</b></font>\n <br><br>\n 2D array with random between 0 and 5\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 7:')\nvalues = np.random.randint(5, size=(2, 4))\nprint(values)\nprint(type(values))",
"execution_count": 18,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 7:\n[[2 4 4 0]\n [3 1 1 3]]\n<class 'numpy.ndarray'>\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"8\"></a>\n <font><b>Task 8:</b></font>\n <br><br>\n Create Random integer between 0 to 100 with 10 itmes (2 rows, 5 columns)\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 8:')\ndf = pd.DataFrame(np.random.randint(0, 100, size=(3, 5)), columns=['Toronto', 'Ottawa', 'Calgary', 'Montreal', 'Quebec'])\nprint(df)",
"execution_count": 19,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 8:\n Toronto Ottawa Calgary Montreal Quebec\n0 53 19 7 31 30\n1 32 58 92 84 48\n2 44 38 47 70 90\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"9\"></a>\n <font><b>Task 9:</b></font>\n <br><br>\n 3 rows, 2 columns in pandas\n <br>\n 1st column = random between 10 to 20\n <br>\n 2nd column = random between 80 and 90\n <br>\n 3rd column = random between 40 and 50 \n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 9:') \ndtype = [('One','int32'), ('Two','int32')]\nvalues = np.zeros(3, dtype=dtype)\nindex = ['Row'+str(i) for i in range(1, 4)]\n\ndf = pandas.DataFrame(values, index=index)\nprint(df)",
"execution_count": 20,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 9:\n One Two\nRow1 0 0\nRow2 0 0\nRow3 0 0\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"10\"></a>\n <font><b>Task 10:</b></font>\n <br><br>\n Fill Random Science and Math Marks\n <br><br>\n (has some bugs in it)\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>\n"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 10:') \ndtype = [('Science','int32'), ('Maths','int32')]\nvalues = np.zeros(3, dtype=dtype)\n\n#print(type(dtype))\n#values = np.random.randint(5, size=(3, 2))\n#print(values)\n#index = ['Row'+str(i) for i in range(1, 4)]\n\ndf = pandas.DataFrame(values, index=index)\nprint(df)",
"execution_count": 21,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 10:\n Science Maths\nRow1 0 0\nRow2 0 0\nRow3 0 0\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"11\"></a>\n <font><b>Task 11:</b></font>\n <br><br>\n CSV to DatRaframe (from_csv)\n <br>\n Note: from_csv is Deprecated since version 0.21.0: Use pandas.read_csv() instead.\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 11:') \n\ncsv = pd.read_csv('C:Users/Prathmesh/Documents/uk-500.csv')\nprint(csv.head())",
"execution_count": 22,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 11:\n first_name last_name company_name address \\\n0 Aleshia Tomkiewicz Alan D Rosenburg Cpa Pc 14 Taylor St \n1 Evan Zigomalas Cap Gemini America 5 Binney St \n2 France Andrade Elliott, John W Esq 8 Moor Place \n3 Ulysses Mcwalters Mcmahan, Ben L 505 Exeter Rd \n4 Tyisha Veness Champagne Room 5396 Forth Street \n\n city county postal phone1 \\\n0 St. Stephens Ward Kent CT2 7PP 01835-703597 \n1 Abbey Ward Buckinghamshire HP11 2AX 01937-864715 \n2 East Southbourne and Tuckton W Bournemouth BH6 3BE 01347-368222 \n3 Hawerby cum Beesby Lincolnshire DN36 5RP 01912-771311 \n4 Greets Green and Lyng Ward West Midlands B70 9DT 01547-429341 \n\n phone2 email \\\n0 01944-369967 atomkiewicz@hotmail.com \n1 01714-737668 evan.zigomalas@gmail.com \n2 01935-821636 france.andrade@hotmail.com \n3 01302-601380 ulysses@hotmail.com \n4 01290-367248 tyisha.veness@hotmail.com \n\n web \n0 http://www.alandrosenburgcpapc.co.uk \n1 http://www.capgeminiamerica.co.uk \n2 http://www.elliottjohnwesq.co.uk \n3 http://www.mcmahanbenl.co.uk \n4 http://www.champagneroom.co.uk \n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"12\"></a>\n <font><b>Task 12:</b></font>\n <br><br>\n CSV to Dataframe (from_csv\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 12:') \n#df = df.from_csv(path, header, sep, index_col, parse_dates, encoding, tupleize_cols, infer_datetime_format)\ndf = pd.read_csv('C:/Users/Prathmesh/Documents/uk-500.csv')\nprint(df.head())",
"execution_count": 24,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 12:\n first_name last_name company_name address \\\n0 Aleshia Tomkiewicz Alan D Rosenburg Cpa Pc 14 Taylor St \n1 Evan Zigomalas Cap Gemini America 5 Binney St \n2 France Andrade Elliott, John W Esq 8 Moor Place \n3 Ulysses Mcwalters Mcmahan, Ben L 505 Exeter Rd \n4 Tyisha Veness Champagne Room 5396 Forth Street \n\n city county postal phone1 \\\n0 St. Stephens Ward Kent CT2 7PP 01835-703597 \n1 Abbey Ward Buckinghamshire HP11 2AX 01937-864715 \n2 East Southbourne and Tuckton W Bournemouth BH6 3BE 01347-368222 \n3 Hawerby cum Beesby Lincolnshire DN36 5RP 01912-771311 \n4 Greets Green and Lyng Ward West Midlands B70 9DT 01547-429341 \n\n phone2 email \\\n0 01944-369967 atomkiewicz@hotmail.com \n1 01714-737668 evan.zigomalas@gmail.com \n2 01935-821636 france.andrade@hotmail.com \n3 01302-601380 ulysses@hotmail.com \n4 01290-367248 tyisha.veness@hotmail.com \n\n web \n0 http://www.alandrosenburgcpapc.co.uk \n1 http://www.capgeminiamerica.co.uk \n2 http://www.elliottjohnwesq.co.uk \n3 http://www.mcmahanbenl.co.uk \n4 http://www.champagneroom.co.uk \n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"13\"></a>\n <font><b>Task 13:</b></font>\n <br><br>\n First 4 rows and 2 columns of CSV\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 13:') \ndf = pandas.read_csv('C:/Users/Prathmesh/Documents/uk-500.csv', sep=',')\nprint(df.shape) \n#print(df[2:14])\nprint(df.iloc[0:4,0:2])\n#print(df[df.columns[0]])",
"execution_count": 25,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 13:\n(500, 11)\n first_name last_name\n0 Aleshia Tomkiewicz\n1 Evan Zigomalas\n2 France Andrade\n3 Ulysses Mcwalters\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"14\"></a>\n <font><b>Task 14:</b></font>\n <br><br>\n Show even rows and first three columns\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 14:') \ndf = pandas.read_csv('C:/Users/Prathmesh/Documents/uk-500.csv', sep=',', encoding = \"utf-8\")\nprint(df.shape)\n\nprint(df.iloc[::2, 0:3]) ",
"execution_count": 26,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 14:\n(500, 11)\n first_name last_name company_name\n0 Aleshia Tomkiewicz Alan D Rosenburg Cpa Pc\n2 France Andrade Elliott, John W Esq\n4 Tyisha Veness Champagne Room\n6 Marg Grasmick Wrangle Hill Auto Auct & Slvg\n8 Lura Manzella Bizerba Usa Inc\n.. ... ... ...\n490 Rosita Ausdemore Jurdem, Scott Esq\n492 Elbert Fiorino Donald, G Nelson Esq\n494 Alesia Katie Nelsons Trmt & Pest Cntrl Co\n496 Reid Euresti Fitzgerald, Edward J\n498 Celestina Keeny Bfg Federal Credit Union\n\n[250 rows x 3 columns]\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"15\"></a>\n <font><b>Task 15:</b></font>\n <br><br>\n New columns as sum of all\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 15:') \ndf = pandas.read_csv('C:/Users/Prathmesh/Documents/uk-500.csv', sep=',', encoding = \"utf-8\")\nprint(df.shape)\nprint(df) \ndf['total'] = df.sum(axis=1)\n\nprint(df)",
"execution_count": 27,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 15:\n(500, 11)\n first_name last_name company_name \\\n0 Aleshia Tomkiewicz Alan D Rosenburg Cpa Pc \n1 Evan Zigomalas Cap Gemini America \n2 France Andrade Elliott, John W Esq \n3 Ulysses Mcwalters Mcmahan, Ben L \n4 Tyisha Veness Champagne Room \n.. ... ... ... \n495 Avery Veit Plaza Gourmet Delicatessen \n496 Reid Euresti Fitzgerald, Edward J \n497 Charlette Brenning Furey & Associates \n498 Celestina Keeny Bfg Federal Credit Union \n499 Mi Richan Nelson Wright Haworth Golf Crs \n\n address city county \\\n0 14 Taylor St St. Stephens Ward Kent \n1 5 Binney St Abbey Ward Buckinghamshire \n2 8 Moor Place East Southbourne and Tuckton W Bournemouth \n3 505 Exeter Rd Hawerby cum Beesby Lincolnshire \n4 5396 Forth Street Greets Green and Lyng Ward West Midlands \n.. ... ... ... \n495 9166 Devon St #905 Knightsbridge and Belgravia Wa Greater London \n496 70 Foster St Inverness Ness-Side Ward Highland \n497 714 Fonthill Rd Darton West Ward South Yorkshire \n498 9 Milton St Consett North ED County Durham \n499 6 Norwood Grove Tanworth-in-Arden Warwickshire \n\n postal phone1 phone2 email \\\n0 CT2 7PP 01835-703597 01944-369967 atomkiewicz@hotmail.com \n1 HP11 2AX 01937-864715 01714-737668 evan.zigomalas@gmail.com \n2 BH6 3BE 01347-368222 01935-821636 france.andrade@hotmail.com \n3 DN36 5RP 01912-771311 01302-601380 ulysses@hotmail.com \n4 B70 9DT 01547-429341 01290-367248 tyisha.veness@hotmail.com \n.. ... ... ... ... \n495 SW1W 8JY 01748-625058 01369-185737 avery@veit.co.uk \n496 IV2 6WT 01916-963261 01370-319414 reuresti@euresti.co.uk \n497 S75 5EJ 01888-152110 01301-312487 cbrenning@brenning.co.uk \n498 DH8 5LP 01877-379681 01600-463475 celestina_keeny@gmail.com \n499 B94 5RZ 01451-785624 01202-738406 mi@hotmail.com \n\n web \n0 http://www.alandrosenburgcpapc.co.uk \n1 http://www.capgeminiamerica.co.uk \n2 http://www.elliottjohnwesq.co.uk \n3 http://www.mcmahanbenl.co.uk \n4 http://www.champagneroom.co.uk \n.. ... \n495 http://www.plazagourmetdelicatessen.co.uk \n496 http://www.fitzgeraldedwardj.co.uk \n497 http://www.fureyassociates.co.uk \n498 http://www.bfgfederalcreditunion.co.uk \n499 http://www.nelsonwrighthaworthgolfcrs.co.uk \n\n[500 rows x 11 columns]\n first_name last_name company_name \\\n0 Aleshia Tomkiewicz Alan D Rosenburg Cpa Pc \n1 Evan Zigomalas Cap Gemini America \n2 France Andrade Elliott, John W Esq \n3 Ulysses Mcwalters Mcmahan, Ben L \n4 Tyisha Veness Champagne Room \n.. ... ... ... \n495 Avery Veit Plaza Gourmet Delicatessen \n496 Reid Euresti Fitzgerald, Edward J \n497 Charlette Brenning Furey & Associates \n498 Celestina Keeny Bfg Federal Credit Union \n499 Mi Richan Nelson Wright Haworth Golf Crs \n\n address city county \\\n0 14 Taylor St St. Stephens Ward Kent \n1 5 Binney St Abbey Ward Buckinghamshire \n2 8 Moor Place East Southbourne and Tuckton W Bournemouth \n3 505 Exeter Rd Hawerby cum Beesby Lincolnshire \n4 5396 Forth Street Greets Green and Lyng Ward West Midlands \n.. ... ... ... \n495 9166 Devon St #905 Knightsbridge and Belgravia Wa Greater London \n496 70 Foster St Inverness Ness-Side Ward Highland \n497 714 Fonthill Rd Darton West Ward South Yorkshire \n498 9 Milton St Consett North ED County Durham \n499 6 Norwood Grove Tanworth-in-Arden Warwickshire \n\n postal phone1 phone2 email \\\n0 CT2 7PP 01835-703597 01944-369967 atomkiewicz@hotmail.com \n1 HP11 2AX 01937-864715 01714-737668 evan.zigomalas@gmail.com \n2 BH6 3BE 01347-368222 01935-821636 france.andrade@hotmail.com \n3 DN36 5RP 01912-771311 01302-601380 ulysses@hotmail.com \n4 B70 9DT 01547-429341 01290-367248 tyisha.veness@hotmail.com \n.. ... ... ... ... \n495 SW1W 8JY 01748-625058 01369-185737 avery@veit.co.uk \n496 IV2 6WT 01916-963261 01370-319414 reuresti@euresti.co.uk \n497 S75 5EJ 01888-152110 01301-312487 cbrenning@brenning.co.uk \n498 DH8 5LP 01877-379681 01600-463475 celestina_keeny@gmail.com \n499 B94 5RZ 01451-785624 01202-738406 mi@hotmail.com \n\n web \\\n0 http://www.alandrosenburgcpapc.co.uk \n1 http://www.capgeminiamerica.co.uk \n2 http://www.elliottjohnwesq.co.uk \n3 http://www.mcmahanbenl.co.uk \n4 http://www.champagneroom.co.uk \n.. ... \n495 http://www.plazagourmetdelicatessen.co.uk \n496 http://www.fitzgeraldedwardj.co.uk \n497 http://www.fureyassociates.co.uk \n498 http://www.bfgfederalcreditunion.co.uk \n499 http://www.nelsonwrighthaworthgolfcrs.co.uk \n\n total \n0 AleshiaTomkiewiczAlan D Rosenburg Cpa Pc14 Tay... \n1 EvanZigomalasCap Gemini America5 Binney StAbbe... \n2 FranceAndradeElliott, John W Esq8 Moor PlaceEa... \n3 UlyssesMcwaltersMcmahan, Ben L505 Exeter RdHaw... \n4 TyishaVenessChampagne Room5396 Forth StreetGre... \n.. ... \n495 AveryVeitPlaza Gourmet Delicatessen9166 Devon ... \n496 ReidEurestiFitzgerald, Edward J70 Foster StInv... \n497 CharletteBrenningFurey & Associates714 Fonthil... \n498 CelestinaKeenyBfg Federal Credit Union9 Milton... \n499 MiRichanNelson Wright Haworth Golf Crs6 Norwoo... \n\n[500 rows x 12 columns]\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"16\"></a>\n <font><b>Task 16:</b></font>\n <br><br>\n Delete Rows of one column where the value is less than 50\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 16:') \ndf = pandas.read_csv('C:/Users/Prathmesh/Documents/abc.csv', sep=',', encoding = \"utf-8\")\nprint(df.shape)\nprint(df) \n\ndf = df[df.science > 50]\nprint(df)",
"execution_count": 28,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 16:\n(7, 5)\n student language science maths history\n0 kumar 90 56 34 34\n1 kevin 10 34 32 67\n2 sammy 90 23 12 32\n3 janice 20 67 90 45\n4 peter 30 56 45 65\n5 prem 90 45 45 34\n6 carrol 50 90 45 23\n student language science maths history\n0 kumar 90 56 34 34\n3 janice 20 67 90 45\n4 peter 30 56 45 65\n6 carrol 50 90 45 23\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"17\"></a>\n <font><b>Task 17:</b></font>\n <br><br>\n Delete with Query\n <br>Note: Query doesn't work if your column has space in it\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 17:') \ndf = pandas.read_csv('C:/Users/Prathmesh/Documents/abc.csv', sep=',', encoding = \"utf-8\")\nprint(df.shape)\nprint(df) \n\ndf = df.query('science > 45')\nprint(df)",
"execution_count": 29,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 17:\n(7, 5)\n student language science maths history\n0 kumar 90 56 34 34\n1 kevin 10 34 32 67\n2 sammy 90 23 12 32\n3 janice 20 67 90 45\n4 peter 30 56 45 65\n5 prem 90 45 45 34\n6 carrol 50 90 45 23\n student language science maths history\n0 kumar 90 56 34 34\n3 janice 20 67 90 45\n4 peter 30 56 45 65\n6 carrol 50 90 45 23\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"18\"></a>\n <font><b>Task 18:</b></font>\n <br><br>\n Skip single row\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 18:') \ndf = pandas.read_csv('C:/Users/Prathmesh/Documents/abc.csv', sep=',', encoding = \"utf-8\", skiprows=[5])\nprint(df.shape)\nprint(df)",
"execution_count": 30,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 18:\n(6, 5)\n student language science maths history\n0 kumar 90 56 34 34\n1 kevin 10 34 32 67\n2 sammy 90 23 12 32\n3 janice 20 67 90 45\n4 prem 90 45 45 34\n5 carrol 50 90 45 23\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"19\"></a>\n <font><b>Task 19:</b></font>\n <br><br>\n Skip multiple rows\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 19:') \ndf = pandas.read_csv('C:/Users/Prathmesh/Documents/abc.csv', sep=',', encoding = \"utf-8\", skiprows=[1, 5, 7])\nprint(df.shape)\n#print(df) \n\n#df = df[df[[1]] > 45]\nprint(df)",
"execution_count": 31,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 19:\n(4, 5)\n student language science maths history\n0 kevin 10 34 32 67\n1 sammy 90 23 12 32\n2 janice 20 67 90 45\n3 prem 90 45 45 34\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"20\"></a>\n <font><b>Task 20:</b></font>\n <br><br>\n Select Column by Index\n <br>\n <br>Note:\n <br>df[[1]] doesn't work in Pandas updated version (need to double check)\n <br>\n New columns as sum of all\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 20:') \ndf = pandas.read_csv('C:/Users/Prathmesh/Documents/abc.csv', sep=',', encoding = \"utf-8\")\nprint(df.shape)\nprint(df) \nprint(type(df.columns[2]))",
"execution_count": 33,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 20:\n(7, 5)\n student language science maths history\n0 kumar 90 56 34 34\n1 kevin 10 34 32 67\n2 sammy 90 23 12 32\n3 janice 20 67 90 45\n4 peter 30 56 45 65\n5 prem 90 45 45 34\n6 carrol 50 90 45 23\n<class 'str'>\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"21\"></a>\n <font><b>Task 21:</b></font>\n <br><br>\n Skip rows\n <br>Note:\n <br>df[[1]] doesn't work in Pandas updated version (need to double check)\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 21:') \ndf = pandas.read_csv('C:/Users/Prathmesh/Documents/abc.csv', sep=',', encoding = \"utf-8\", skiprows=[0])\nprint(df.shape)\nprint(df) \n\n#df = df[int(df.columns[2]) > 45]\n#print(df)\nprint(df.columns[2])",
"execution_count": 34,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 21:\n(6, 5)\n kumar 90 56 34 34.1\n0 kevin 10 34 32 67\n1 sammy 90 23 12 32\n2 janice 20 67 90 45\n3 peter 30 56 45 65\n4 prem 90 45 45 34\n5 carrol 50 90 45 23\n56\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"22\"></a>\n <font><b>Task 22:</b></font>\n <br><br>\n String to Dataframe\n <br>Note:\n <br>df[[1]] doesn't work in Pandas updated version (need to double check)\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 22:')\nfrom io import StringIO\n\ns = \"\"\"\n 1, 2\n 3, 4\n 5, 6\n \"\"\"\n\ndf = pd.read_csv(StringIO(s), header=None)\n\nprint(df.shape)\nprint(df)",
"execution_count": 35,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 22:\n(3, 2)\n 0 1\n0 1 2\n1 3 4\n2 5 6\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"23\"></a>\n <font><b>Task 23:</b></font>\n <br><br>\n New columns as max of other columns\n <br>float to int used\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 23:') \ndf = pandas.read_csv('C:/Users/Prathmesh/Documents/abc.csv', sep=',', encoding = \"utf-8\")\nprint(df.shape)\ndf['sum'] = df.sum(axis=1)\ndf['max'] = df.max(axis=1)\ndf['min'] = df.min(axis=1)\ndf['average'] = df.mean(axis=1).astype(int)\nprint(df)",
"execution_count": 36,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 23:\n(7, 5)\n student language science maths history sum max min average\n0 kumar 90 56 34 34 214 214 34 96\n1 kevin 10 34 32 67 143 143 10 62\n2 sammy 90 23 12 32 157 157 12 69\n3 janice 20 67 90 45 222 222 20 98\n4 peter 30 56 45 65 196 196 30 88\n5 prem 90 45 45 34 214 214 34 96\n6 carrol 50 90 45 23 208 208 23 92\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"24\"></a>\n <font><b>Task 24:</b></font>\n <br><br>\n New columns as max of other columns\n<br>float to int used\n<br>Math is considered more, so double the marks for maths\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": " def apply_math_special(row):\n return (row.maths * 2 + row.language / 2 + row.history / 3 + row.science) / 4 \n\n print('Task 24:') \n df = pandas.read_csv('C:/Users/Prathmesh/Documents/abc.csv', sep=',', encoding = \"utf-8\")\n print(df.shape)\n df['sum'] = df.sum(axis=1)\n df['max'] = df.max(axis=1)\n df['min'] = df.min(axis=1)\n df['average'] = df.mean(axis=1).astype(int)\n df['math_special'] = df.apply(apply_math_special, axis=1).astype(int)\n print(df)",
"execution_count": 37,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 24:\n(7, 5)\n student language science maths history sum max min average \\\n0 kumar 90 56 34 34 214 214 34 96 \n1 kevin 10 34 32 67 143 143 10 62 \n2 sammy 90 23 12 32 157 157 12 69 \n3 janice 20 67 90 45 222 222 20 98 \n4 peter 30 56 45 65 196 196 30 88 \n5 prem 90 45 45 34 214 214 34 96 \n6 carrol 50 90 45 23 208 208 23 92 \n\n math_special \n0 45 \n1 31 \n2 25 \n3 68 \n4 45 \n5 47 \n6 53 \n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"25\"></a>\n <font><b>Task 25:</b></font>\n <br><br>\n New columns as max of other columns\n<br>35 marks considered as pass \n<br>If the student fails in math, consider fail\n<br>If the student passes in language and science, consider as pass\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "def pass_one_subject(row):\n if(row.maths > 34):\n return 'Pass'\n if(row.language > 34 and row.science > 34):\n return 'Pass'\n \n return 'Fail' \n\nprint('Task 25:') \ndf = pandas.read_csv('C:/Users/Prathmesh/Documents/abc.csv', sep=',', encoding = \"utf-8\")\nprint(df.shape) \n\ndf['pass_one'] = df.apply(pass_one_subject, axis=1)\nprint(df)",
"execution_count": 38,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 25:\n(7, 5)\n student language science maths history pass_one\n0 kumar 90 56 34 34 Pass\n1 kevin 10 34 32 67 Fail\n2 sammy 90 23 12 32 Fail\n3 janice 20 67 90 45 Pass\n4 peter 30 56 45 65 Pass\n5 prem 90 45 45 34 Pass\n6 carrol 50 90 45 23 Pass\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"26\"></a>\n <font><b>Task 26:</b></font>\n <br><br>\n Fill with average\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 26:') \ndf = pandas.read_csv('C:/Users/Prathmesh/Documents/abc2.csv', sep=',', encoding = \"utf-8\")\nprint(df.shape) \nprint(df)\ndf.fillna(df.mean(), inplace=True)\n\n#df['pass_one'] = df.apply(pass_one_subject, axis=1)\nprint(df)",
"execution_count": 68,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 26:\n(7, 5)\n student language science maths history\n0 kumar 90 56.0 34.0 34\n1 kevin 10 NaN 32.0 67\n2 sammy 90 23.0 12.0 32\n3 janice 20 NaN 90.0 45\n4 peter 30 56.0 45.0 65\n5 prem 90 45.0 NaN 34\n6 carrol 50 90.0 45.0 23\n student language science maths history\n0 kumar 90 56.0 34.0 34\n1 kevin 10 54.0 32.0 67\n2 sammy 90 23.0 12.0 32\n3 janice 20 54.0 90.0 45\n4 peter 30 56.0 45.0 65\n5 prem 90 45.0 43.0 34\n6 carrol 50 90.0 45.0 23\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"27\"></a>\n <font><b>Task 27:</b></font>\n <br><br>\n New columns as sum of all\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 27:')\ndf = pd.DataFrame(np.random.rand(10, 5))\ndf.iloc[0:3, 0:4] = np.nan # throw in some na values\nprint(df)\ndf.loc[:, 'test'] = df.iloc[:, 2:].sum(axis=1)\nprint(df)",
"execution_count": 40,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 27:\n 0 1 2 3 4\n0 NaN NaN NaN NaN 0.694935\n1 NaN NaN NaN NaN 0.375396\n2 NaN NaN NaN NaN 0.452567\n3 0.844001 0.826013 0.465708 0.369441 0.623546\n4 0.204783 0.568058 0.167137 0.199358 0.084288\n5 0.321078 0.406732 0.021799 0.388384 0.896169\n6 0.029788 0.610396 0.135337 0.970148 0.188262\n7 0.285191 0.254756 0.483885 0.758338 0.490930\n8 0.186199 0.537708 0.664795 0.352471 0.855920\n9 0.355632 0.363956 0.212515 0.130220 0.828651\n 0 1 2 3 4 test\n0 NaN NaN NaN NaN 0.694935 0.694935\n1 NaN NaN NaN NaN 0.375396 0.375396\n2 NaN NaN NaN NaN 0.452567 0.452567\n3 0.844001 0.826013 0.465708 0.369441 0.623546 1.458695\n4 0.204783 0.568058 0.167137 0.199358 0.084288 0.450784\n5 0.321078 0.406732 0.021799 0.388384 0.896169 1.306352\n6 0.029788 0.610396 0.135337 0.970148 0.188262 1.293747\n7 0.285191 0.254756 0.483885 0.758338 0.490930 1.733153\n8 0.186199 0.537708 0.664795 0.352471 0.855920 1.873187\n9 0.355632 0.363956 0.212515 0.130220 0.828651 1.171387\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"28\"></a>\n <font><b>Task 28:</b></font>\n <br><br>\n Unicode issue and fix\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 28:') \ndf = pandas.read_csv('C:/Users/Prathmesh/Documents/score.csv', sep=',', encoding = \"ISO-8859-1\")\nprint(df.shape) ",
"execution_count": 41,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 28:\n(16, 5)\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"29\"></a>\n <font><b>Task 29:</b></font>\n <br><br>\n Fill with average\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 29:') \ndf = pd.DataFrame(np.random.rand(3,4), columns=list(\"ABCD\"))\nprint(df.shape) \nprint(df)\ndf.fillna(df.mean(), inplace=True)\n\nprint(df)",
"execution_count": 42,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 29:\n(3, 4)\n A B C D\n0 0.379539 0.540820 0.811827 0.225508\n1 0.170337 0.786849 0.071493 0.735114\n2 0.661120 0.709949 0.515367 0.110225\n A B C D\n0 0.379539 0.540820 0.811827 0.225508\n1 0.170337 0.786849 0.071493 0.735114\n2 0.661120 0.709949 0.515367 0.110225\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"30\"></a>\n <font><b>Task 30:</b></font>\n <br><br>\n Last 4 rows\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 30:') \ndf = pandas.read_csv('C:/Users/Prathmesh/Documents/data1.csv', sep=';') \nprint(df[-4:])",
"execution_count": 43,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 30:\n capacity,score,length\n5 7,10,23\n6 3,20,22\n7 8,20,11\n8 2,30,2\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"31\"></a>\n <font><b>Task 31:</b></font>\n <br><br>\n Expanding Apply\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 31:')\nseries1 = pd.Series([i / 100.0 for i in range(1,6)])\nprint(series1)\ndef CumRet(x,y):\n return x * (1 + y)\ndef Red(x):\n return functools.reduce(CumRet,x,1.0)\ns2 = series1.expanding().apply(Red)\n# s2 = series1.expanding().apply(Red, raw=True) # is not working\nprint(s2)",
"execution_count": 44,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 31:\n0 0.01\n1 0.02\n2 0.03\n3 0.04\n4 0.05\ndtype: float64\n0 1.010000\n1 1.030200\n2 1.061106\n3 1.103550\n4 1.158728\ndtype: float64\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"32\"></a>\n <font><b>Task 32:</b></font>\n <br><br>\n Get 3 and 4th row\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 32:') \ndf = pandas.read_csv('C:/Users/Prathmesh/Documents/data1.csv', sep=';') \nprint(df[2:4])",
"execution_count": 45,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 32:\n capacity,score,length\n2 3,30,40\n3 3,40,30\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"33\"></a>\n <font><b>Task 33:</b></font>\n <br><br>\n Last 4th to 1st\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 33:') \ndf = pandas.read_csv('C:/Users/Prathmesh/Documents/data1.csv', sep=';') \nprint(df[-4:-1])",
"execution_count": 46,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 33:\n capacity,score,length\n5 7,10,23\n6 3,20,22\n7 8,20,11\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"34\"></a>\n <font><b>Task 34:</b></font>\n <br><br>\n iloc position slice\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 34:') \ndf = pandas.read_csv('C:/Users/Prathmesh/Documents/data1.csv', sep=';') \nprint(df.iloc[1:9])",
"execution_count": 47,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 34:\n capacity,score,length\n1 2,20,30\n2 3,30,40\n3 3,40,30\n4 2,30,40\n5 7,10,23\n6 3,20,22\n7 8,20,11\n8 2,30,2\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"35\"></a>\n <font><b>Task 35:</b></font>\n <br><br>\n Loc - iloc - ix - at - iat\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 35:') \ndf = pandas.read_csv('C:/Users/Prathmesh/Documents/data1.csv', sep=';')",
"execution_count": 48,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 35:\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"36\"></a>\n <font><b>Task 36:</b></font>\n <br><br>\n Random data\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 36:') \ndef xrange(x):\n return iter(range(x))\n\nrnd_1 = [ rn.randrange ( 1 , 20 ) for x in xrange ( 1000 )] \nrnd_2 = [ rn.randrange ( 1 , 20 ) for x in xrange ( 1000 )] \nrnd_3 = [ rn.randrange ( 1 , 20 ) for x in xrange ( 1000 )] \ndate = pd . date_range ( '2012-4-10' , '2015-1-4' )\nprint(len(date))\ndata = pd . DataFrame ({ 'date' : date , 'rnd_1' : rnd_1 , 'rnd_2' : rnd_2 , 'rnd_3' : rnd_3 })\n\ndata.head()",
"execution_count": 49,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 36:\n1000\n"
},
{
"data": {
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>date</th>\n <th>rnd_1</th>\n <th>rnd_2</th>\n <th>rnd_3</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>2012-04-10</td>\n <td>5</td>\n <td>14</td>\n <td>13</td>\n </tr>\n <tr>\n <th>1</th>\n <td>2012-04-11</td>\n <td>3</td>\n <td>16</td>\n <td>8</td>\n </tr>\n <tr>\n <th>2</th>\n <td>2012-04-12</td>\n <td>18</td>\n <td>3</td>\n <td>1</td>\n </tr>\n <tr>\n <th>3</th>\n <td>2012-04-13</td>\n <td>3</td>\n <td>10</td>\n <td>9</td>\n </tr>\n <tr>\n <th>4</th>\n <td>2012-04-14</td>\n <td>6</td>\n <td>10</td>\n <td>17</td>\n </tr>\n </tbody>\n</table>\n</div>",
"text/plain": " date rnd_1 rnd_2 rnd_3\n0 2012-04-10 5 14 13\n1 2012-04-11 3 16 8\n2 2012-04-12 18 3 1\n3 2012-04-13 3 10 9\n4 2012-04-14 6 10 17"
},
"execution_count": 49,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"37\"></a>\n <font><b>Task 37:</b></font>\n <br><br>\n Filter with the value comparison\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 37:')\nbelow_20 = data[data['rnd_1'] < 20] \nprint(below_20)",
"execution_count": 50,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 37:\n date rnd_1 rnd_2 rnd_3\n0 2012-04-10 5 14 13\n1 2012-04-11 3 16 8\n2 2012-04-12 18 3 1\n3 2012-04-13 3 10 9\n4 2012-04-14 6 10 17\n.. ... ... ... ...\n995 2014-12-31 19 14 5\n996 2015-01-01 18 4 9\n997 2015-01-02 8 18 14\n998 2015-01-03 12 6 18\n999 2015-01-04 14 17 17\n\n[1000 rows x 4 columns]\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"38\"></a>\n <font><b>Task 38:</b></font>\n <br><br>\n Filter between 5 and 10 on col 1\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 38:') \ndef xrange(x):\n return iter(range(x))\nrnd_1 = [ rn.randrange ( 1 , 20 ) for x in xrange ( 1000 )] \nrnd_2 = [ rn.randrange ( 1 , 20 ) for x in xrange ( 1000 )] \nrnd_3 = [ rn.randrange ( 1 , 20 ) for x in xrange ( 1000 )] \ndate = pd . date_range ( '2012-4-10' , '2015-1-4' )\nprint(len(date))\ndata = pd . DataFrame ({ 'date' : date , 'rnd_1' : rnd_1 , 'rnd_2' : rnd_2 , 'rnd_3' : rnd_3 })\nbelow_20 = data[data['rnd_1'] < 20]\nten_to_20 = data[(data['rnd_1'] >= 5) & (data['rnd_1'] < 10)]\n#print(ten_to_20)",
"execution_count": 51,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 38:\n1000\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"39\"></a>\n <font><b>Task 39:</b></font>\n <br><br>\n Filter between 15 to 20\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 39:') \ndate = pd . date_range ( '2018-08-01' , '2018-08-15' )\ndate_count = len(date)\n\ndef fill_rand(start, end, count):\n return [rn.randrange(1, 20 ) for x in xrange( count )]\n\nrnd_1 = fill_rand(1, 20, date_count) \nrnd_2 = fill_rand(1, 20, date_count) \nrnd_3 = fill_rand(1, 20, date_count)\n#print(len(date))\ndata = pd . DataFrame ({ 'date' : date , 'rnd_1' : rnd_1 , 'rnd_2' : rnd_2 , 'rnd_3' : rnd_3 })\n#print(len(date))\nten_to_20 = data[(data['rnd_1'] >= 15) & (data['rnd_1'] < 20)]\nprint(ten_to_20)",
"execution_count": 53,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 39:\n date rnd_1 rnd_2 rnd_3\n0 2018-08-01 19 6 8\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"40\"></a>\n <font><b>Task 40:</b></font>\n <br><br>\n 15 to 33\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 40:') \ndate = pd . date_range ( '2018-08-01' , '2018-08-15' )\ndate_count = len(date)\n\ndef fill_rand(start, end, count):\n return [rn.randrange(1, 20 ) for x in xrange( count )]\n\nrnd_1 = fill_rand(1, 20, date_count) \nrnd_2 = fill_rand(1, 20, date_count) \nrnd_3 = fill_rand(1, 20, date_count)\n\ndata = pd . DataFrame ({ 'date' : date , 'rnd_1' : rnd_1 , 'rnd_2' : rnd_2 , 'rnd_3' : rnd_3 })\n\nten_to_20 = data[(data['rnd_1'] >= 15) & (data['rnd_1'] < 33)]\nprint(ten_to_20)",
"execution_count": 54,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 40:\n date rnd_1 rnd_2 rnd_3\n0 2018-08-01 18 12 9\n1 2018-08-02 16 1 2\n6 2018-08-07 19 13 4\n9 2018-08-10 16 8 15\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"41\"></a>\n <font><b>Task 41:</b></font>\n <br><br>\n Custom method and xrnage on dataframe\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": " print('Task 41:') \n date = pd . date_range ( '2018-08-01' , '2018-08-15' )\n date_count = len(date)\n\n def xrange(x):\n return iter(range(x))\n\n def fill_rand(start, end, count):\n return [rn.randrange(1, 20 ) for x in xrange( count )]\n\n rnd_1 = fill_rand(1, 20, date_count) \n rnd_2 = fill_rand(1, 20, date_count) \n rnd_3 = fill_rand(1, 20, date_count)\n\n data = pd . DataFrame ({ 'date' : date , 'rnd_1' : rnd_1 , 'rnd_2' : rnd_2 , 'rnd_3' : rnd_3 })\n filter_loc = data.loc[ 2 : 4 , [ 'rnd_2' , 'date' ]]\n print(filter_loc)",
"execution_count": 55,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 41:\n rnd_2 date\n2 15 2018-08-03\n3 4 2018-08-04\n4 10 2018-08-05\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"42\"></a>\n <font><b>Task 42:</b></font>\n <br><br>\n Set index with date column\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 42:')\ndate_date = data.set_index( 'date' ) \nprint(date_date.head())",
"execution_count": 56,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 42:\n rnd_1 rnd_2 rnd_3\ndate \n2018-08-01 7 17 12\n2018-08-02 3 6 16\n2018-08-03 13 15 14\n2018-08-04 11 4 12\n2018-08-05 10 10 15\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"43\"></a>\n <font><b>Task 43:</b></font>\n <br><br>\n Change columns based on other columns\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 43:') \ndf = pd.DataFrame({\n 'a' : [1,2,3,4], \n 'b' : [9,8,7,6],\n 'c' : [11,12,13,14]\n})\nprint(df) \n\nprint('changing on one column')\n# Change columns\ndf.loc[df.a >= 2,'b'] = 9\nprint(df)",
"execution_count": 57,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 43:\n a b c\n0 1 9 11\n1 2 8 12\n2 3 7 13\n3 4 6 14\nchanging on one column\n a b c\n0 1 9 11\n1 2 9 12\n2 3 9 13\n3 4 9 14\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"44\"></a>\n <font><b>Task 44:</b></font>\n <br><br>\n Change multiple columns based on one column values\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 44:') \nprint('changing on multipe columns')\ndf.loc[df.a > 2,['b', 'c']] = 45\nprint(df)",
"execution_count": 58,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 44:\nchanging on multipe columns\n a b c\n0 1 9 11\n1 2 9 12\n2 3 45 45\n3 4 45 45\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"45\"></a>\n <font><b>Task 45:</b></font>\n <br><br>\n Pandas Mask\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 45:') \nprint(df)\ndf_mask = pd.DataFrame({\n 'a' : [True] * 4, \n 'b' : [False] * 4,\n 'c' : [True, False] * 2\n})\nprint(df.where(df_mask,-1000))",
"execution_count": 59,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 45:\n a b c\n0 1 9 11\n1 2 9 12\n2 3 45 45\n3 4 45 45\n a b c\n0 1 -1000 11\n1 2 -1000 -1000\n2 3 -1000 45\n3 4 -1000 -1000\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"46\"></a>\n <font><b>Task 46:</b></font>\n <br><br>\n Check high or low comparing the column against 5\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 46:')\nprint(df) \ndf['logic'] = np.where(df['a'] > 5, 'high', 'low')\nprint(df)",
"execution_count": 60,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 46:\n a b c\n0 1 9 11\n1 2 9 12\n2 3 45 45\n3 4 45 45\n a b c logic\n0 1 9 11 low\n1 2 9 12 low\n2 3 45 45 low\n3 4 45 45 low\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"47\"></a>\n <font><b>Task 47:</b></font>\n <br><br>\n Student Marks (Pass or Fail)\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 47:')\nmarks_df = pd.DataFrame({\n 'Language' : [60, 45, 78, 4], \n 'Math' : [90, 80, 23, 60],\n 'Science' : [45, 90, 95, 20]\n});\nprint(marks_df)\nmarks_df['language_grade'] = np.where(marks_df['Language'] >= 50, 'Pass', 'Fail')\nmarks_df['math_grade'] = np.where(marks_df['Math'] >= 50, 'Pass', 'Fail')\nmarks_df['science_grade'] = np.where(marks_df['Science'] >= 50, 'Pass', 'Fail')\nprint(marks_df)",
"execution_count": 61,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 47:\n Language Math Science\n0 60 90 45\n1 45 80 90\n2 78 23 95\n3 4 60 20\n Language Math Science language_grade math_grade science_grade\n0 60 90 45 Pass Pass Fail\n1 45 80 90 Fail Pass Pass\n2 78 23 95 Pass Fail Pass\n3 4 60 20 Fail Pass Fail\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"48\"></a>\n <font><b>Task 48:</b></font>\n <br><br>\n Get passed grades\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 48:') \nmarks_df = pd.DataFrame({\n 'Language' : [60, 45, 78, 4], \n 'Math' : [90, 80, 23, 60],\n 'Science' : [45, 90, 95, 20]\n});\nprint(marks_df)\nmarks_df_passed_in_language = marks_df[marks_df.Language >=50 ]\nprint(marks_df_passed_in_language)",
"execution_count": 62,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 48:\n Language Math Science\n0 60 90 45\n1 45 80 90\n2 78 23 95\n3 4 60 20\n Language Math Science\n0 60 90 45\n2 78 23 95\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"49\"></a>\n <font><b>Task 49:</b></font>\n <br><br>\n Students passed in Language and Math\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 49:') \nmarks_df_passed_in_lang_math = marks_df[(marks_df.Language >=50) & (marks_df.Math >= 50)]\nprint(marks_df_passed_in_lang_math)",
"execution_count": 63,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 49:\n Language Math Science\n0 60 90 45\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"50\"></a>\n <font><b>Task 50:</b></font>\n <br><br>\n Students passed in Language and Science\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 50:') \nmarks_df_passed_in_lang_and_sc = marks_df.loc[(marks_df.Language >=50) & (marks_df.Science >= 50)]\nprint(marks_df_passed_in_lang_and_sc)",
"execution_count": 64,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 50:\n Language Math Science\n2 78 23 95\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"51\"></a>\n <font><b>Task 51:</b></font>\n <br><br>\n Loc with Label oriented slicing\n<br>possible error:\n<br>pandas.errors.UnsortedIndexError\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 51:')\nstars = {\n 'age' : [31, 23, 65, 50],\n 'movies' : [51, 23, 87, 200],\n 'awards' : [42, 12, 4, 78]\n }\nstar_names = ['dhanush', 'simbu', 'kamal', 'vikram']\nstars_df = pd.DataFrame(data=stars, index=[star_names])\nprint(stars_df)",
"execution_count": 65,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 51:\n age movies awards\ndhanush 31 51 42\nsimbu 23 23 12\nkamal 65 87 4\nvikram 50 200 78\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"52\"></a>\n <font><b>Task 52:</b></font>\n <br><br>\n iloc with positional slicing\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 52:') \nprint(stars_df.iloc[1:3])",
"execution_count": 66,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 52:\n age movies awards\nsimbu 23 23 12\nkamal 65 87 4\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"53\"></a>\n <font><b>Task 53:</b></font>\n <br><br>\n Label between numbers\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 53:') \nnumbers = pd.DataFrame({\n 'one' : [10, 50, 80, 40],\n 'two' : [2, 6, 56, 45]\n },\n index = [12, 14, 16, 18])\nprint(numbers)\n\nprint('label between 12 and 16')\nprint(numbers.loc[12:16])\n\nprint('index between 1 and 3')\nprint(numbers.iloc[1:3])",
"execution_count": 67,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Task 53:\n one two\n12 10 2\n14 50 6\n16 80 56\n18 40 45\nlabel between 12 and 16\n one two\n12 10 2\n14 50 6\n16 80 56\nindex between 1 and 3\n one two\n14 50 6\n16 80 56\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"54\"></a>\n <font><b>Task 54:</b></font>\n <br><br>\n Stars with names\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 54:') \nstars = {\n 'age' : [31, 23, 65, 50],\n 'movies' : [51, 23, 87, 200],\n 'awards' : [42, 12, 4, 78]\n }\nstar_names = ['dhanush', 'simbu', 'kamal', 'vikram']\nstars_df = pd.DataFrame(data=stars, index=[star_names])\nnumbers = pd.DataFrame({\n 'one' : [10, 50, 80, 40],\n 'two' : [2, 6, 56, 45]\n },\n index = [12, 14, 16, 18])\nprint(numbers)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"55\"></a>\n <font><b>Task 55:</b></font>\n <br><br>\n Row label selection\n <br>Age is above 25 and movies above 25\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 55:')\n\nage_movies_25 = stars_df[(stars_df.movies > 25 ) & (stars_df.age > 25)] \nprint(age_movies_25)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"56\"></a>\n <font><b>Task 56:</b></font>\n <br><br>\n Stars in in certain ages\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 56:') \ncustom_stars = stars_df[stars_df.age.isin([31, 65])]\nprint(custom_stars)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"57\"></a>\n <font><b>Task 57:</b></font>\n <br><br>\n inverse opeartor\n <br>!( above one.45 and below two.50 )\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 57:') \nprint(numbers)\nprint(numbers[~( (numbers.one > 45) & (numbers.two < 50) )])",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"58\"></a>\n <font><b>Task 58:</b></font>\n <br><br>\n Apply custom function\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 58:')\ndef GrowUp(x):\n avg_weight = sum(x[x['size'] == 'series1'].weight * 1.5)\n avg_weight += sum(x[x['size'] == 'M'].weight * 1.25)\n avg_weight += sum(x[x['size'] == 'L'].weight)\n avg_weight /= len(x)\n return pd.Series(['L',avg_weight,True], index=['size', 'weight', 'adult'])\n\nanimals_df = pd.DataFrame({'animal': 'cat dog cat fish dog cat cat'.split(),\n 'size': list('SSMMMLL'),\n 'weight': [8, 10, 11, 1, 20, 12, 12],\n 'adult' : [False] * 5 + [True] * 2})\n\ngb = animals_df.groupby(['animal'])\n\nexpected_df = gb.apply(GrowUp)\nprint(expected_df)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"59\"></a>\n <font><b>Task 59:</b></font>\n <br><br>\n Group by single column\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 59:')\nweights = animals_df.groupby(['weight']).get_group(20) \nprint(weights)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"60\"></a>\n <font><b>Task 60:</b></font>\n <br><br>\n Creating new Columns using Applymap\n <br>Sides & applymap\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 60:')\nsides_df = pd.DataFrame({\n 'a' : [1, 1, 2, 4],\n 'b' : [2, 1, 3, 4]\n }) \nprint(sides_df)\nsource_cols = sides_df.columns\nprint(source_cols)\nnew_cols = [str(x)+\"_side\" for x in source_cols]\nside_category = {\n 1 : 'North',\n 2 : 'East',\n 3 : 'South', \n 4 : 'West'\n }\nsides_df[new_cols] = sides_df[source_cols].applymap(side_category.get)\nprint(sides_df)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"61\"></a>\n <font><b>Task 61:</b></font>\n <br><br>\n Replacing some values with mean of the rest of a group\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 61:') \ndf = pd.DataFrame({'A' : [1, 1, 2, 2], 'B' : [1, -1, 1, 2]})\nprint(df)\n\ngb = df.groupby('A')\n\ndef replace(g):\n mask = g < 0\n g.loc[mask] = g[~mask].mean()\n return g\n\ngbt = gb.transform(replace)\n\nprint(gbt)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"62\"></a>\n <font><b>Task 62:</b></font>\n <br><br>\n Students passed in Language or Science (any one subject)\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 62:') \nmarks_df = pd.DataFrame({\n 'Language' : [60, 45, 78, 4], \n 'Math' : [90, 80, 23, 60],\n 'Science' : [45, 90, 95, 20]\n});\nprint(marks_df)\nmarks_df_passed_in_lang_or_sc = marks_df.loc[(marks_df.Language >=50) | (marks_df.Science >= 50)]\nprint(marks_df_passed_in_lang_or_sc)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"\"></a>\n <font><b>Task 63:</b></font>\n <br><br>\n possible errors:\n <br>TypeError: 'Series' objects are mutable, thus they cannot be hashed\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 63:') \nmarks_df['passed_one_subject'] = 'Fail' \nmarks_df.loc[(marks_df.Language >=50) , 'passed_one_subject'] = 'Pass'\nprint(marks_df)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"64\"></a>\n <font><b>Task 64:</b></font>\n <br><br>\n argsort\n <br>Select rows with data closest to certain value using argsort\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 64:') \ndf = pd.DataFrame({\n \"a\": np.random.randint(0, 100, size=(5,)), \n \"b\": np.random.randint(0, 70, size=(5,))\n})\nprint(df)\npar = 65\nprint('with argsort')\ndf1 = df.loc[(df.a-par).abs().argsort()]\nprint(df1)\n\nprint(df.loc[(df.b-2).abs().argsort()])",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"65\"></a>\n <font><b>Task 65:</b></font>\n <br><br>\n argsort with stars \n <br>old stars (near by 50 age) argsort\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 65:') \nstars = pd.DataFrame({\n \"age\": [17, 50, 24, 45, 65, 18], \n \"movies\": [2, 3, 90, 45, 34, 2] \n})\nprint(stars.loc[(stars.age - 50).abs().argsort()])",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"66\"></a>\n <font><b>Task 66:</b></font>\n <br><br>\n Argsort with actors\n\n <br>young stars (near by 17)\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 66:') \nprint(stars.loc[(stars.age - 17).abs().argsort()])",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"67\"></a>\n <font><b>Task 67:</b></font>\n <br><br>\n Binary operators\n\n <br>Stars with\n\n <br>younger than 19 - very young\n\n <br>more movies acted**\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 67:')\nstars = pd.DataFrame({\n \"age\": [17, 50, 24, 45, 65, 18], \n \"movies\": [22, 33, 90, 75, 34, 2] \n}) \nprint(stars)\nprint('Young and more movies acted')\nyoung = stars.age < 30 \nmore_movies = stars.movies > 30\nyoung_more = [young, more_movies]\nyoung_more_Criteria = functools.reduce(lambda x, y : x & y, young_more)\nprint(stars[young_more_Criteria])",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"68\"></a>\n <font><b>Task 68:</b></font>\n <br><br>\n Young, Higher Salary, and Higher Position\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 68:') \nemployees = pd.DataFrame({\n \"age\": [17, 50, 24, 45, 65, 18], \n \"salary\": [75, 33, 90, 175, 134, 78],\n \"grade\" : [7, 8, 9, 2, 7, 8] \n}) \nprint(employees)\nprint('Young, Higher Salary, and Higher Position')\nyoung = employees.age < 30\nhigh_salary = employees.salary > 60\nhigh_position = employees.grade > 6\nyoung_salary_position = [young, high_salary, high_position]\nyoung_salary_position_Criteria = functools.reduce(lambda x, y : x & y, young_salary_position)\nprint(employees[young_salary_position_Criteria])",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"69\"></a>\n <font><b>Task 69:</b></font>\n <br><br>\n Rename columns\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 69:') \nemployees = pd.DataFrame({\n \"age\": [17, 50, 24, 45, 65, 18], \n \"salary\": [75, 33, 90, 175, 134, 78],\n \"grade\" : [7, 8, 9, 2, 7, 8] \n}) \nprint(employees)\nemployees.rename(columns={'age': 'User Age', 'salary': 'Salary 2018'}, inplace=True)\nprint(employees)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"70\"></a>\n <font><b>Task 70:</b></font>\n <br><br>\n Add a new column\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 70:') \nemployees = pd.DataFrame({\n \"age\": [17, 50, 24, 45, 65, 18], \n \"salary\": [75, 33, 90, 175, 134, 78],\n \"grade\" : [7, 8, 9, 2, 7, 8] \n}) \nprint(employees)\nemployees['group'] = pd.Series(np.random.randn(len(employees)))\nprint(employees)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"71\"></a>\n <font><b>Task 71:</b></font>\n <br><br>\n Drop a column\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 71:') \nemployees = pd.DataFrame({\n \"age\": [17, 50, 24, 45, 65, 18], \n \"salary\": [75, 33, 90, 175, 134, 78],\n \"grade\" : [7, 8, 9, 2, 7, 8] \n}) \nprint(employees)\nemployees['group'] = pd.Series(np.random.randn(len(employees)))\nprint(employees)\nemployees.drop(employees.columns[[0]], axis=1, inplace = True)\nprint(employees)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"72\"></a>\n <font><b>Task 72:</b></font>\n <br><br>\n Drop multiple columns\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 72:') \nemployees = pd.DataFrame({\n \"age\": [17, 50, 24, 45, 65, 18], \n \"salary\": [75, 33, 90, 175, 134, 78],\n \"grade\" : [7, 8, 9, 2, 7, 8] \n}) \nprint(employees)\nemployees['group'] = pd.Series(np.random.randn(len(employees)))\nprint(employees)\nemployees.drop(employees.columns[[1, 2]], axis=1, inplace = True)\nprint(employees)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"73\"></a>\n <font><b>Task 73:</b></font>\n <br><br>\n Drop first and last column\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 73:') \nemployees = pd.DataFrame({\n \"age\": [17, 50, 24, 45, 65, 18], \n \"salary\": [75, 33, 90, 175, 134, 78],\n \"grade\" : [7, 8, 9, 2, 7, 8],\n \"group\" : [1, 1, 2, 2, 2, 1] \n \n}) \nprint(employees)\nemployees.drop(employees.columns[[0, len(employees.columns)-1]], axis=1, inplace = True)\nprint(employees)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"74\"></a>\n <font><b>Task 74:</b></font>\n <br><br>\n Delete by pop function\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 74:') \nemployees = pd.DataFrame({\n \"age\": [17, 50, 24, 45, 65, 18], \n \"salary\": [75, 33, 90, 175, 134, 78],\n \"grade\" : [7, 8, 9, 2, 7, 8],\n \"group\" : [1, 1, 2, 2, 2, 1] \n \n}) \nprint(employees)\ngroup = employees.pop('group')\nprint(employees)\nprint(group)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"75\"></a>\n <font><b>Task 75:</b></font>\n <br><br>\n DataFrame.from_items\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 75:') \n# df = pd.DataFrame.from_items([('A', [1, 2, 3]), ('B', [4, 5, 6]), ('C', [7,8, 9])], orient='index', columns=['one', 'two', 'three'])\n# print(df) # throwing error",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"76\"></a>\n <font><b>Task 76:</b></font>\n <br><br>\n Pandas to list\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 76:')\nemployees = pd.DataFrame({\n \"age\": [17, 50, 24, 45, 65, 18], \n \"salary\": [75, 33, 90, 175, 134, 78],\n \"grade\" : [7, 8, 9, 2, 7, 8],\n \"group\" : [1, 1, 2, 2, 2, 1] \n \n}) \nprint(employees) \nemployees_list1 = list(employees.columns.values) \nemployees_list2 = employees.values.tolist()\n#employees_list = list(employees)\nprint(employees_list1)\nprint(employees_list2)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"77\"></a>\n <font><b>Task 77:</b></font>\n <br><br>\n Pandas rows to list\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 77:')\nemployees = pd.DataFrame({\n \"age\": [17, 50, 24, 45, 65, 18], \n \"salary\": [75, 33, 90, 175, 134, 78],\n \"grade\" : [7, 8, 9, 2, 7, 8],\n \"group\" : [1, 1, 2, 2, 2, 1] \n \n}) \nprint(employees) \nemployees_list2 = employees.values.tolist()\nprint(employees_list2)\nprint(type(employees_list2))\nprint(len(employees_list2))",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"78\"></a>\n <font><b>Task 78:</b></font>\n <br><br>\n XPandas rows to array \n\n <br>Note: as_matrix is deprecatedYZ\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 78:')\nemployees = pd.DataFrame({\n \"age\": [17, 50, 24, 45, 65, 18], \n \"salary\": [75, 33, 90, 175, 134, 78],\n \"grade\" : [7, 8, 9, 2, 7, 8],\n \"group\" : [1, 1, 2, 2, 2, 1] \n \n}) \nprint(employees) \nemployees_list2 = employees.values\nprint(employees_list2)\nprint(type(employees_list2))\nprint(employees_list2.shape)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"79\"></a>\n <font><b>Task 79:</b></font>\n <br><br>\n Pandas rows to map\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 79:')\nemployees = pd.DataFrame({\n \"age\": [17, 50, 24, 45, 65, 18], \n \"salary\": [75, 33, 90, 175, 134, 78],\n \"grade\" : [7, 8, 9, 2, 7, 8],\n \"group\" : [1, 1, 2, 2, 2, 1] \n \n}) \nprint(employees) \nemployees_list2 = map(list, employees.values)\nprint(employees_list2)\nprint(type(employees_list2))",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"80\"></a>\n <font><b>Task 80:</b></font>\n <br><br>\n Pandas rows to map\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 80:')\nemployees = pd.DataFrame({\n \"age\": [17, 50, 24, 45, 65, 18], \n \"salary\": [75, 33, 90, 175, 134, 78],\n \"grade\" : [7, 8, 9, 2, 7, 8],\n \"group\" : [1, 1, 2, 2, 2, 1] \n \n}) \nprint(employees) \nemployees_list2 = list(map(list, employees.values))\nprint(employees_list2)\nprint(type(employees_list2))",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"81\"></a>\n <font><b>Task 81:</b></font>\n <br><br>\n Drop duplicates\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 81:') \nusers = pd.DataFrame({\n \"id\": [1, 1, 2, 2, 3, 3], \n \"city\": ['Toronto', 'Montreal', 'Calgary', 'Montreal', 'Montreal', 'Ottawa'],\n \"count\" : [7, 8, 9, 2, 7, 8] \n \n}) \nprint(users)\nusers.drop_duplicates('id', inplace=True, keep='last')\nprint(users)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"82\"></a>\n <font><b>Task 82:</b></font>\n <br><br>\n Selecting multiple columns\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 82:') \nusers = pd.DataFrame({\n \"id\": [1, 1, 2, 2, 3, 3], \n \"city\": ['Toronto', 'Montreal', 'Calgary', 'Montreal', 'Montreal', 'Ottawa'],\n \"count\" : [7, 8, 9, 2, 7, 8] \n \n}) \nprint(users)\nusers1 = users[['id', 'city']]\nprint(users1)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"83\"></a>\n <font><b>Task 83:</b></font>\n <br><br>\n Selecting multiple columns\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 83:') \nusers = pd.DataFrame({\n \"id\": [1, 1, 2, 2, 3, 3], \n \"city\": ['Toronto', 'Montreal', 'Calgary', 'Montreal', 'Montreal', 'Ottawa'],\n \"count\" : [7, 8, 9, 2, 7, 8] \n}) \nprint(users)\ncolumns = ['id', 'count']\nusers1 = pd.DataFrame(users, columns=columns)\nprint(users1)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"84\"></a>\n <font><b>Task 84:</b></font>\n <br><br>\n Row and Column Slicing\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 84:') \nusers = pd.DataFrame({\n \"id\": [1, 1, 2, 2, 3, 3], \n \"city\": ['Toronto', 'Montreal', 'Calgary', 'Montreal', 'Montreal', 'Ottawa'],\n \"count\" : [7, 8, 9, 2, 7, 8] \n \n}) \nprint(users) \nusers1 = users.iloc[0:2, 1:3]\nprint(users1)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"85\"></a>\n <font><b>Task 85:</b></font>\n <br><br>\n Iterating rows\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 85:') \nusers = pd.DataFrame({\n \"id\": [1, 1, 2, 2, 3, 3], \n \"city\": ['Toronto', 'Montreal', 'Calgary', 'Montreal', 'Montreal', 'Ottawa'],\n \"count\" : [7, 8, 9, 2, 7, 8] \n \n}) \nprint(users) \nfor index, row in users.iterrows():\n print(row['city'], \"==>\", row['count'])",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"86\"></a>\n <font><b>Task 86:</b></font>\n <br><br>\n Iterating tuples\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 86:') \nusers = pd.DataFrame({\n \"id\": [1, 1, 2, 2, 3, 3], \n \"city\": ['Toronto', 'Montreal', 'Calgary', 'Montreal', 'Montreal', 'Ottawa'],\n \"count\" : [7, 8, 9, 2, 7, 8] \n \n}) \nprint(users) \nfor row in users.itertuples(index=True, name='Pandas'):\n print(getattr(row, 'city'))\n \nfor row in users.itertuples(index=True, name='Pandas'):\n print(row.count)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"87\"></a>\n <font><b>Task 87:</b></font>\n <br><br>\n Iterating rows and columns\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 87:') \nusers = pd.DataFrame({\n \"id\": [1, 1, 2, 2, 3, 3], \n \"city\": ['Toronto', 'Montreal', 'Calgary', 'Montreal', 'Montreal', 'Ottawa'],\n \"count\" : [7, 8, 9, 2, 7, 8] \n \n}) \nprint(users) \nfor i, row in users.iterrows():\n for j, col in row.iteritems(): \n print(col)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"88\"></a>\n <font><b>Task 88:</b></font>\n <br><br>\n List of Dictionary to Dataframe\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 88:') \npointlist = [\n {'points': 50, 'time': '5:00', 'year': 2010}, \n {'points': 25, 'time': '6:00', 'month': \"february\"}, \n {'points':90, 'time': '9:00', 'month': 'january'}, \n {'points_h1':20, 'month': 'june'}\n ]\nprint(pointlist)\npointDf = pd.DataFrame(pointlist)\nprint(pointDf)\n\npointDf1 = pd.DataFrame.from_dict(pointlist)\nprint(pointDf1)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"89\"></a>\n <font><b>Task 89:</b></font>\n <br><br>\n NaN values\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 89:')\ndf = pd.DataFrame(np.random.randn(10,6))\n# Make a few areas have NaN values\ndf.iloc[1:3,1] = np.nan\ndf.iloc[5,3] = np.nan\ndf.iloc[7:9,5] = np.nan\nprint(df)\ndf1 = df.isnull()\nprint(df1)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"90\"></a>\n <font><b>Task 90:</b></font>\n <br><br>\n Sum of all nan\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 90:') \ndf = pd.DataFrame(np.random.randn(10,6))\n# Make a few areas have NaN values\ndf.iloc[1:3,1] = np.nan\ndf.iloc[5,3] = np.nan\ndf.iloc[7:9,5] = np.nan\nprint(df)\nprint(df.isnull().sum())\nprint(df.isnull().sum(axis=1))\nprint(df.isnull().sum().tolist())",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"91\"></a>\n <font><b>Task 91:</b></font>\n <br><br>\n Sum of all nan rowwise\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 91:') \ndf = pd.DataFrame(np.random.randn(10,6))\n# Make a few areas have NaN values\ndf.iloc[1:3,1] = np.nan\ndf.iloc[5,3] = np.nan\ndf.iloc[7:9,5] = np.nan\nprint(df)\nprint(df.isnull().sum(axis=1))",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"92\"></a>\n <font><b>Task 92:</b></font>\n <br><br>\n Sum of all nan as list\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 92:') \ndf = pd.DataFrame(np.random.randn(10,6))\n# Make a few areas have NaN values\ndf.iloc[1:3,1] = np.nan\ndf.iloc[5,3] = np.nan\ndf.iloc[7:9,5] = np.nan\nprint(df)\nprint(df.isnull().sum().tolist())",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"93\"></a>\n <font><b>Task 93:</b></font>\n <br><br>\n Change the order of columns\n\n Note:\n FutureWarning: '.reindex_axis' is deprecated and will be removed in a future version \n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 93:') \nusers = pd.DataFrame({\n \"id\": [1, 1, 2, 2, 3, 3], \n \"city\": ['Toronto', 'Montreal', 'Calgary', 'Montreal', 'Montreal', 'Ottawa'],\n \"count\" : [7, 8, 9, 2, 7, 8] \n \n}) \nprint(users)\n\n# below line throws error\n# users1 = users.reindex_axis(['city', 'count', 'id'], axis=1)\n# print(users1)\n\nusers2 = users.reindex(columns=['city', 'id', 'count'])\nprint(users2)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"94\"></a>\n <font><b>Task 94:</b></font>\n <br><br>\n Drop multiple rows\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 94:')\nnumbers = pd.DataFrame({\n \"id\": [1, 2, 3, 4, 5, 6], \n \"number\": [10, 20, 30, 30, 23, 12]\n \n}) \nprint(numbers)\nnumbers.drop(numbers.index[[0, 3, 5]], inplace=True)\nprint(numbers)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"95\"></a>\n <font><b>Task 95:</b></font>\n <br><br>\n Drop multiple rows by row name\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 95:') \nnumbers = pd.DataFrame({\n \"id\": [1, 2, 3, 4, 5, 6], \n \"number\": [10, 20, 30, 30, 23, 12]\n \n}, index=['one', 'two', 'three', 'four', 'five', 'six']) \nprint(numbers)\nnumbers1 = numbers.drop(['two','six'])\nprint(numbers1)\nnumbers2 = numbers.drop('two')\nprint(numbers2)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"96\"></a>\n <font><b>Task :</b></font>\n <br><br>\n Get group\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 96:')\ncats = animals_df.groupby(['animal']).get_group('cat')\nprint(cats)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": ""
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"97\"></a>\n <font><b>Task 97:</b></font>\n <br><br>\n Get the the odd row\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 97:') \nx = numpy.array([\n [ 1, 2, 3, 4, 5],\n [ 6, 7, 8, 9, 10],\n [11, 12, 13, 14, 15],\n [16, 17, 18, 19, 20]\n ]\n )\nprint(x)\nprint(x[::2])",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"98\"></a>\n <font><b>Task 98:</b></font>\n <br><br>\n Get the even columns\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 98:') \nx = numpy.array([\n [ 1, 2, 3, 4, 5],\n [ 6, 7, 8, 9, 10],\n [11, 12, 13, 14, 15],\n [16, 17, 18, 19, 20]\n ]\n )\nprint(x)\nprint(x[:, 1::2])",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"99\"></a>\n <font><b>Task 99:</b></font>\n <br><br>\n Odd rows and even columns\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 99:') \n\nx = numpy.array([\n [ 1, 2, 3, 4, 5],\n [ 6, 7, 8, 9, 10],\n [11, 12, 13, 14, 15],\n [16, 17, 18, 19, 20]\n ]\n )\nprint(x)\nprint(x[::2, 1::2])",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"100\"></a>\n <font><b>Task 100:</b></font>\n <br><br>\n Drop duplicates\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 100:') \nusers = pd.DataFrame({\n \"id\": [1, 1, 2, 2, 3, 3], \n \"city\": ['Toronto', 'Montreal', 'Calgary', 'Montreal', 'Montreal', 'Ottawa'],\n \"count\" : [7, 8, 9, 2, 7, 8] \n \n}) \nprint(users)\nusers.drop_duplicates('id', inplace=True)\nprint(users)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"101\"></a>\n <font><b>Task 101:</b></font>\n <br><br>\n Drop all duplicates\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 101:') \nusers = pd.DataFrame({\n \"name\": ['kevin', 'james', 'kumar', 'kevin', 'kevin', 'james'], \n \"city\": ['Toronto', 'Montreal', 'Calgary', 'Montreal', 'Montreal', 'Ottawa'],\n \"count\" : [7, 8, 9, 2, 7, 8] \n \n}) \nprint(users)\nusers.drop_duplicates('name', inplace=True, keep='last')\nprint(users)\nusers1 = users.drop_duplicates('name', keep=False)\nprint(users1)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"102\"></a>\n <font><b>Task 102:</b></font>\n <br><br>\n Basic group by\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 102:')\nanimals_df1 = animals_df.groupby('animal').apply(lambda x: x['size'][x['weight'].idxmax()])\nprint(animals_df1)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"102\"></a>\n <font><b>Task 103:</b></font>\n <br><br>\n Missing Data:\n Make A'th 3rd coulmn Nan\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 103:') \ndf = pd.DataFrame(np.random.randn(6,1), index=pd.date_range('2013-08-01', periods=6, freq='B'), columns=list('A'))\nprint(df)\ndf.loc[df.index[3], 'A'] = np.nan\nprint(df)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"104\"></a>\n <font><b>Task 104:</b></font>\n <br><br>\n reindex\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div> "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 104:')\ndf1 = df.reindex(df.index[::-1]).ffill()\nprint(df1)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"105\"></a>\n <font><b>Task 105:</b></font>\n <br><br>\n Column reset Nan\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print('Task 105:')\nanimals_df = pd.DataFrame({'animal': 'cat dog cat fish dog cat cat'.split(),\n 'size': list('SSMMMLL'),\n 'weight': [8, 10, 11, 1, 20, 12, 12],\n 'adult' : [False] * 5 + [True] * 2})\nprint(animals_df)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "### Extras"
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"106\"></a>\n <font><b>Task 106:</b></font>\n <br><br>\n Change columns\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 106. Change columns\nprint('Task 106:')\n\nusers = pd.DataFrame({\n \"name\": ['kevin', 'james', 'kumar', 'kevin', 'kevin', 'james'], \n \"city\": ['Toronto', 'Montreal', 'Calgary', 'Montreal', 'Montreal', 'Ottawa']\n}) \n\nprint('Before changing columns : ')\nprint(users)\n\n# change columns\nusers_new = users.rename({'name': 'first_name', 'city': 'current_city'}, axis = 1)\n\nprint('\\nAfter changing columns : ')\nprint(users_new)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"107\"></a>\n <font><b>Task 107:</b></font>\n <br><br>\n Match with isin function\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 107. Match with isin function\n\nprint('Task 107:')\n\nusers = pd.DataFrame({\n \"name\": ['kevin', 'james', 'kumar', 'kevin', 'kevin', 'james'], \n \"city\": ['Toronto', 'Montreal', 'Calgary', 'Montreal', 'Montreal', 'Ottawa']\n}) \n\nprint('Original Dataframe:')\nprint(users)\n\nprint('\\nFinding `Montreal` in by using isin function :')\n\nusers.isin(['Montreal']).any()",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"108\"></a>\n <font><b>Task 108:</b></font>\n <br><br>\n Finding specific items by using `isin` function\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 108. Finding specific items by using `isin` function\n\nprint('Task 108:')\n\nusers = pd.DataFrame({\n \"name\": ['kevin', 'james', 'kumar', 'kevin', 'kevin', 'james'], \n \"city\": ['Toronto', 'Montreal', 'Calgary', 'Montreal', 'Montreal', 'Ottawa']\n}) \n\nprint('Original Dataframe: ')\nprint(users)\n\nprint('\\nFinding `Montreal` in using isin and stack them: ')\nprint(users[users.isin(['Montreal'])].stack())",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"109\"></a>\n <font><b>Task 109:</b></font>\n <br><br>\n Exclude specific matching\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 109. Exclude specific matching\n\nprint('Task 109:')\n\nusers = pd.DataFrame({\n \"name\": ['kevin', 'james', 'kumar', 'kevin', 'kevin', 'james'], \n \"city\": ['Toronto', 'Montreal', 'Calgary', 'Montreal', 'Montreal', 'Ottawa']\n}) \n\nprint('Original Dataframe: ')\nprint(users)\n\nprint('\\nExcluding `Montreal` in using isin and stack them: ')\nprint(users[~users.isin(['Montreal'])].stack())",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"110\"></a>\n <font><b>Task 110:</b></font>\n <br><br>\n Apply a custom function on multiple columns\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 110. Apply a custom function on multiple columns\n\nprint('Task 110:')\n\namounts = pd.DataFrame({\n \"CIBC\": [200, 4200, 300, 300], \n \"TD\": [1200, 800, 4000, 2000]\n})\n\nprint('Original Dataframe: ')\nprint(amounts)\n\ndef get_total_amount(x):\n \n # if the amount is less than 500, skip it\n total_amount = 0\n \n if(x['CIBC'] > 499):\n total_amount += x['CIBC']\n \n if(x['TD'] > 499):\n total_amount += x['TD']\n \n return total_amount\n\namounts['Total'] = amounts.apply(get_total_amount, axis = 1)\n\nprint('Dataframe after applying the custom function: ')\nprint(amounts)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"111\"></a>\n <font><b>Task 111:</b></font>\n <br><br>\n iterrows as tuples\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 111. iterrows as tuples\n\nprint('Task 111:')\n\nusers = pd.DataFrame({\n \"id\": [1, 1, 2, 2, 3, 3], \n \"city\": ['Toronto', 'Montreal', 'Calgary', 'Montreal', 'Montreal', 'Ottawa'],\n \"count\" : [7, 8, 9, 2, 7, 8] \n \n}) \n\nprint(users) \n\nprint('\\nIterate rows as tuples:')\nfor row in users.itertuples():\n print(row)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"112\"></a>\n <font><b>Task 112:</b></font>\n <br><br>\n Dataframe with NaN\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 112. Dataframe with NaN\n\nprint('Task 112:')\n\ndf = pd.DataFrame(np.nan, index = [0, 1, 2], columns = ['A', 'B', 'C'])\n\nprint(df)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"113\"></a>\n <font><b>Task 113:</b></font>\n <br><br>\n Simple Dataframe with NaN\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 113. Simple Dataframe with NaN\n\nprint('Task 113:')\n\ndf = pd.DataFrame([np.nan] * 5)\n\nprint(df)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"114\"></a>\n <font><b>Task 114:</b></font>\n <br><br>\n Pandas and Date with Range\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 114. Pandas and Date with Range\n\nprint('Task 114:')\n\nimport datetime as dt\n\npd.np.random.seed(0)\n\ndf = pd.DataFrame({\n \"date\" : [dt.date(2012, x, 1) for x in range(1, 11)]\n})\n\nprint(df)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"115\"></a>\n <font><b>Task 115:</b></font>\n <br><br>\n Pandas and Numpy Repeat\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 115. Pandas and Numpy Repeat\n\nprint('Task 115:')\n\ndf = pd.DataFrame({\n \"entry\" : np.repeat(3, 7) # Repeat the number for 7 times\n})\n\nprint(df)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"116\"></a>\n <font><b>Task 116:</b></font>\n <br><br>\n read_sql in Pandas\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 116. read_sql in Pandas\n\nprint('Task 116:')\n\nimport sqlite3 as sql\n\nconn = sql.connect('/kaggle/input/rj-sample-datasets/sample.db')\n\ndemo_df = pd.read_sql('SELECT ID, NAME FROM DEMO', conn)\n\nprint(demo_df)\n\n# Note: online sqlite https://sqliteonline.com/",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"117\"></a>\n <font><b>Task 117:</b></font>\n <br><br>\n Get a single value by iat\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 117. Get a single value by iat\n\nprint('Task 117:')\n\ndf = pd.DataFrame(np.random.randint(0, 100, size = (7, 2)), columns = list('ab'))\n\nprint('\\nOriginal Dataframe:')\nprint(df)\n\nval = df.iat[3, 1]\n\nprint('\\nGetting value at 3rd row and first col:')\nprint(val)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"118\"></a>\n <font><b>Task 118:</b></font>\n <br><br>\n Get last n elements\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 118. Get last n elements\n\nprint('Task 118:')\n\ndf = pd.DataFrame(np.random.randint(0, 100, size = (7, 2)), columns = list('ab'))\n\nprint('\\nOriginal Dataframe:')\nprint(df)\n\ntail_df = df.tail(3)\n\nprint('\\nLast 3 rows:')\nprint(tail_df)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"119\"></a>\n <font><b>Task 119:</b></font>\n <br><br>\n Add data one by one by using loc function\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 119. Add data one by one by using loc function\n\ndf = pd.DataFrame(columns = ['rows', 'cols', 'time taken'])\n\ndf.loc['Dataset1 - Dask'] = (1000, 20, 10)\ndf.loc['Dataset1 - Pandas'] = (1000, 20, 15)\n\ndf",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "!pip install country_converter",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"120\"></a>\n <font><b>Task 120:</b></font>\n <br><br>\n Convert country in Dataframe\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 120. Convert country in Dataframe \n\nimport country_converter as coco\nimport pandas as pd\n\ndf = pd.DataFrame({'code': ['IN', 'USA', 'BR', 'CAN']})\n\nprint('Before:')\nprint(df)\n\ndf['country'] = df.code.apply(lambda x: coco.convert(names = x, to = 'name_short', not_found = None))\n\nprint('\\nAfter:')\nprint(df)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"121\"></a>\n <font><b>Task 121:</b></font>\n <br><br>\n Group by multiple columns\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 121. Group by multiple columns\n\ndf = pd.read_csv('../input/datasets-for-pandas/uk-500.csv')\n\ndf.groupby(['county', 'first_name']).sum().sample(5)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"122\"></a>\n <font><b>Task 122:</b></font>\n <br><br>\n Compare two dataframes\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 122. Compare two dataframes\n\ndf1 = pd.DataFrame({\n 'a' : [1,2,3], \n 'b' : [9,8,7]\n})\n\ndf2 = pd.DataFrame({\n 'a' : [1,1,3], \n 'b' : [12,8,12]\n})\n\nprint(df1.compare(df2))",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"123\"></a>\n <font><b>Task 123:</b></font>\n <br><br>\n Difference between datetime by only seconds or dates\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 123. Difference between datetime by only seconds or dates\n\ndf1 = pd.to_datetime('2020-10-14 14:52:21')\ndf2 = pd.to_datetime('2020-10-18 15:58:10')\n\ndelta = (df2 - df1)\n\nprint('days : ', delta.days)\nprint('seconds: ', delta.seconds)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"124\"></a>\n <font><b>Task 124:</b></font>\n <br><br>\n Get dates and delta days in Dataframe\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 124. Get dates and delta days in Dataframe\n\nentries_count = 6\n\ndate_series = pd.Series(pd.date_range('2020-09-01', periods = entries_count, freq = 'D'))\n\ndf = pd.DataFrame({'entry_date': date_series})\n\nprint(df)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"125\"></a>\n <font><b>Task 125:</b></font>\n <br><br>\n Get dates and delta days in Dataframe\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 125. Get dates and delta days in Dataframe\n\nentries_count = 5\n\ndate_series = pd.Series(pd.date_range('2020-09-01', periods = entries_count, freq = 'D'))\n\ntime_delta_series = pd.Series([pd.Timedelta(days = i) for i in range(entries_count)])\n\ndf = pd.DataFrame({'entry_date': date_series, 'delta_days': time_delta_series})\n\nprint(df)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"126\"></a>\n <font><b>Task 126:</b></font>\n <br><br>\n Date addition with time delta\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 126. Date addition with time delta\n\nentries_count = 3\n\ndate_series = pd.Series(pd.date_range('2020-09-01', periods = entries_count, freq = 'D'))\n\ntime_delta_series = pd.Series([pd.Timedelta(days = i) for i in range(entries_count)])\n\ndf = pd.DataFrame({'entry_date': date_series, 'delta_days': time_delta_series})\n\nprint('\\nBefore:')\nprint(df)\n\n\ndf['new_entry_date'] = df['entry_date'] + df['delta_days']\nprint('\\nAfter:')\nprint(df)\n\nprint('\\nData types:')\nprint(df.dtypes)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"127\"></a>\n <font><b>Task 127:</b></font>\n <br><br>\n Converting Pandas innner list to numpy array without the word `list`\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 127. Converting Pandas innner list to numpy array without the word `list`\n\ns = pd.Series([[1, 2, 3], np.array([1, 2, 3])])\n \nprint('Original Series:')\nprint(s) \n\narr = np.array(s)\nprint('\\nSeries to Array:')\nprint(arr)\n\nprint('\\nAfter converting inner elements to list:')\nx = np.array(s[:].tolist())\nprint(x)\n\n# Source: https://stackoverflow.com/questions/64089218/how-to-convert-data-frame-pandas-into-list-in-numpy-without-word-list-in-array",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"128\"></a>\n <font><b>Task 128:</b></font>\n <br><br>\n Append series to existing Dataframe\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 128. Append series to existing Dataframe\n\ndf = pd.DataFrame([1, 3, 4, 5], columns=[\"id\"])\ndf.set_index(\"id\")\nprint('Before:')\nprint(df)\n\nmarks = pd.Series([79, 20, 45, 99])\ndf[\"marks\"] = marks\nprint('\\nAfter:')\nprint(df)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"129\"></a>\n <font><b>Task 129:</b></font>\n <br><br>\n Cumulative sum with group by with multiple values\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 129. Cumulative sum with group by with multiple values\n\ndf = pd.DataFrame({\n 'City': ['Toronto', 'Toronto', 'Toronto', 'Montreal', 'Montreal', 'Montreal', 'New York', 'Toronto', 'New York', 'New York'], \n 'Year': [2020, 2020, 2018, 2018, 2018, 2012, 2012, 2012, 2016, 2018], \n 'Points': [1000, 2000, 3000, 3000, 2000, 1500, 1500, 500, 500, 300]\n})\n\nprint('Before:')\nprint(df)\n\ndf.sort_values(['City', 'Year'], inplace=True)\nprint('\\nAfter Sorting:')\nprint(df)\n\ndf['Points_cum'] = df.groupby(['City', 'Year'])['Points'].cumsum()\nprint('\\nAfter Cumulative Sum:')\nprint(df)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"130\"></a>\n <font><b>Task 130:</b></font>\n <br><br>\n Clean URL in Pandas String (remove string after specific item)\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 130. Clean URL in Pandas String (remove string after specific item)\n\ndf = pd.DataFrame({\n 'url': ['https://www.abc.com/page/2/unit234', 'https://www.abc.com/page/3/unit34', 'https://www.abc.com/page/4/unit89']\n})\n\nprint('Original:')\nprint(df)\n\ndf['url'] = df['url'].str.replace('\\/unit.*', '/', regex=True)\nprint('\\nAfer removing unit and future chars:')\nprint(df)",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<div style=\"\">\n <div style=\"float: left; width: 80%;\">\n <a id=\"131\"></a>\n <font><b>Task 131:</b></font>\n <br><br>\n Find any matching value\n </div>\n <div style=\"float: right;\">\n <a href=\"#top\" class=\"btn btn-primary btn-sm\" role=\"button\" aria-pressed=\"true\" style=\"color:white\" data-toggle=\"popover\" title=\"go to Top\">Go to Top</a>\n </div>\n <br style=\"clear: left;\" />\n</div>"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 131. Find any matching value\n\nprint('Task 131:')\n\nusers = pd.DataFrame({\n \"name\": ['kevin', 'james', 'kumar', 'kevin', 'kevin', 'james'], \n \"city\": ['Toronto', 'Montreal', 'Calgary', 'Montreal', 'Montreal', 'Ottawa']\n}) \n\nprint('Original Dataframe:')\nprint(users)\n\nprint('\\nFinding `Montreal` in any cell :')\nprint(users[users.eq('Montreal').any(1)])",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 132. Add prefix on column lables\n\nimport pandas as pd\nimport numpy as np\n\nnp.random.seed(34)\n\ndf = pd.DataFrame(np.random.rand(30, 5)).add_prefix(\"feature_\")\ndf[\"year\"] = np.repeat([\"2012\", \"2013\", \"2014\"], 10)\n\nprint(df.head())\nprint(len(df))",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 133. Set values on where condition\n\ndf = pd.DataFrame({'city': ['Toronto', 'Toronto', 'Montreal', 'Montreal', 'Montreal'], 'Year': [2017, 2018, 2019, 2020, 2021]})\n\nprint('Original;')\nprint(df)\n\ndf['airport'] = None\ndf['airport'] = np.where(df['city'] == 'Toronto', {'airport_count': 2}, df['airport'])\n\nprint('\\nAfter:')\nprint(df)",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 134. Flatten Dictionary to Dataframe\n\nd = {\n \"country\" : {\n \"canada\": {\n \"code\": 'CA',\n \"city\": {\n \"name\": \"Toronto\",\n \"population\": \"6M\"\n }\n }\n }\n}\n\ndf = pd.json_normalize(d)\n\nprint(df)",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 135. Using transform\n\ndf = pd.DataFrame({\n 'ID': [1, 2, 2, 3, 3, 4, 4],\n 'Value': [10, 5, 5, 10, 4, 11, 12]\n })\n\ndf['Count'] = df.groupby('ID')['Value'].transform('count')\nprint(df)",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 136. Summing all elements\n\ndf = pd.DataFrame({\n 'ID': [1, 2, 2, 3, 3, 4, 4],\n 'Value': [10, 5, 5, 10, 4, 11, 12]\n })\n\nsum1 = df.stack().sum()\nprint(sum1)\n\nsum2 = df.to_numpy().sum()\nprint(sum2)",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 137. Combine multiple CSV files by using Dask\n\nimport dask.dataframe as dd\n\ndf = dd.read_csv('/kaggle/input/rj-sample-datasets/transaction-*.csv')\n\ndf = df.compute() \n\ndf.columns = ['Date', 'Description', 'Spent']\n\ndf.head(2)",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 138. Separate Elements into Bins\n\ndf = pd.DataFrame({'number': np.random.randint(1, 100, 5)}) \nprint('Original:')\nprint(df)\n\ndf['bins'] = pd.cut(x = df['number'], bins = [1, 20, 40, 60, 80, 100]) \nprint('\\nAfter pandas cut:')\nprint(df)",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 139. Encode the object as enumerated or categorical\n\ncodes, uniques = pd.factorize(['TO', 'NY', 'CA', 'MNT', 'CA', 'NY'], sort = True)\n\nprint(codes)\nprint(uniques)",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 140. \n\n\ndf = pd.read_csv(\"/kaggle/input/rj-sample-datasets/sample-transaction.csv\", names = ['date', 'description', 'spent'])\n\n# df\n\nbins = np.linspace(min(df['spent']), max(df['spent']), 4)\n# print(bins)\ngroupNames = [\"low\", \"med\", \"high\"]\n\ndf['spentGroup'] = pd.cut(df['spent'], bins, labels = groupNames, include_lowest = True)\nprint(df)",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 141. Simple result table with Pandas\n\nresults = pd.DataFrame(columns = ['Accuracy'])\n\nresults.loc['Random Classifier'] = 98.893\nresults.loc['KNN'] = 99.343\n\nresults",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 142. isin with multiple conditions\n\ndf = pd.DataFrame([\n ['LEhOc7XSE0','2020', '03', 'car'],\n ['LEhOc7XSE0','2020', '03', 'truck'],\n ['LEhOc7XSE0','2020', '03', 'bike'],\n ['LEhOc7XSE0','2020', '03', 'insurance'],\n ['LEhOc7XSE0','2020', '03', 'inspection'],\n ['iXC5AfJMox','2020', '04', 'car'],\n ['iXC5AfJMox','2020', '04', 'truck'],\n ['iXC5AfJMox','2020', '04', 'inspection'],\n ['XpLLAySojz','2020', '01', 'bike'],\n ], columns=['order_id','year', 'month', 'item_type'])\nprint('Original:')\nprint(df)\n\ndf['bike_or_car'] = df['item_type'].isin({'bike', 'car'})\nprint('\\nAfter:')\nprint(df)\n\n# source: https://stackoverflow.com/questions/64248872/python-pandas-count-columns-with-multiple-conditions-and-groupby",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 143. String to Pandas with python engine and separator\n\nfrom io import StringIO\nimport pandas as pd\n\ndata = ''' student science maths history\n0 David 90 100 89\n20 Kevin 98 97 90\n'''\ndf = pd.read_csv(StringIO(data), sep='\\s\\s+', engine='python')\n\nprint(df)\n\n# source: https://stackoverflow.com/questions/64268344/pandas-consolidate-two-rows-in-one",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# 144.\n\ndef get_unique_items(df):\n \n # how many cols are there\n cols = df.columns\n cols_count = len(df.columns)\n # print(cols_count)\n\n unique_max_count = 0\n for _col in cols:\n# print(_col)\n current_col_unique_values = list(df[_col].unique())\n list_len = len(current_col_unique_values) \n \n if(list_len > unique_max_count):\n unique_max_count = list_len\n \n # list of each_cols and unique values\n col_unique_values = {}\n \n for _col in cols:\n# print(_col)\n current_col_unique_values = list(df[_col].unique())\n list_len = len(current_col_unique_values) \n \n fill_count = 0\n if(list_len < unique_max_count):\n fill_count = unique_max_count - list_len\n \n for _ in range(fill_count):\n current_col_unique_values.append('-')\n \n col_unique_values[_col] = current_col_unique_values\n \n df_new = pd.DataFrame(col_unique_values)\n \n return df_new\n\nusers = pd.DataFrame({\n \"name\": ['kevin', 'james', 'kumar', 'kevin', 'kevin', 'james'], \n \"city\": ['Toronto', 'Montreal', 'Calgary', 'Montreal', 'Montreal', 'Ottawa'],\n \"count\" : [7, 8, 9, 2, 7, 8] \n \n}) \n\nunique_user_items = get_unique_items(users)\n\nunique_user_items",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "!pip install jupyter-contrib-nbextensions\n",
"execution_count": 70,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Requirement already satisfied: jupyter-contrib-nbextensions in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (0.5.1)\nRequirement already satisfied: jupyter-core in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from jupyter-contrib-nbextensions) (4.6.3)\nRequirement already satisfied: lxml in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from jupyter-contrib-nbextensions) (4.6.1)\nRequirement already satisfied: tornado in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from jupyter-contrib-nbextensions) (6.0.4)\nRequirement already satisfied: notebook>=4.0 in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from jupyter-contrib-nbextensions) (6.1.4)\nRequirement already satisfied: pyyaml in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from jupyter-contrib-nbextensions) (5.3.1)\nRequirement already satisfied: jupyter-nbextensions-configurator>=0.4.0 in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from jupyter-contrib-nbextensions) (0.4.1)\nRequirement already satisfied: jupyter-contrib-core>=0.3.3 in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from jupyter-contrib-nbextensions) (0.3.3)\nRequirement already satisfied: nbconvert>=4.2 in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from jupyter-contrib-nbextensions) (6.0.7)\nRequirement already satisfied: jupyter-latex-envs>=1.3.8 in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from jupyter-contrib-nbextensions) (1.4.6)\nRequirement already satisfied: traitlets>=4.1 in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from jupyter-contrib-nbextensions) (5.0.5)\nRequirement already satisfied: jupyter-highlight-selected-word>=0.1.1 in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from jupyter-contrib-nbextensions) (0.2.0)\nRequirement already satisfied: ipython-genutils in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from jupyter-contrib-nbextensions) (0.2.0)\nRequirement already satisfied: pywin32>=1.0; sys_platform == \"win32\" in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from jupyter-core->jupyter-contrib-nbextensions) (227)\nRequirement already satisfied: Send2Trash in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from notebook>=4.0->jupyter-contrib-nbextensions) (1.5.0)\nRequirement already satisfied: pyzmq>=17 in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from notebook>=4.0->jupyter-contrib-nbextensions) (19.0.2)\nRequirement already satisfied: jupyter-client>=5.3.4 in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from notebook>=4.0->jupyter-contrib-nbextensions) (6.1.7)\nRequirement already satisfied: argon2-cffi in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from notebook>=4.0->jupyter-contrib-nbextensions) (20.1.0)\nRequirement already satisfied: nbformat in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from notebook>=4.0->jupyter-contrib-nbextensions) (5.0.8)\nRequirement already satisfied: ipykernel in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from notebook>=4.0->jupyter-contrib-nbextensions) (5.3.4)\nRequirement already satisfied: prometheus-client in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from notebook>=4.0->jupyter-contrib-nbextensions) (0.8.0)\nRequirement already satisfied: terminado>=0.8.3 in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from notebook>=4.0->jupyter-contrib-nbextensions) (0.9.1)\nRequirement already satisfied: jinja2 in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from notebook>=4.0->jupyter-contrib-nbextensions) (2.11.2)\nRequirement already satisfied: setuptools in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from jupyter-contrib-core>=0.3.3->jupyter-contrib-nbextensions) (50.3.1.post20201107)\nRequirement already satisfied: pygments>=2.4.1 in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from nbconvert>=4.2->jupyter-contrib-nbextensions) (2.7.2)\nRequirement already satisfied: pandocfilters>=1.4.1 in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from nbconvert>=4.2->jupyter-contrib-nbextensions) (1.4.3)\nRequirement already satisfied: testpath in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from nbconvert>=4.2->jupyter-contrib-nbextensions) (0.4.4)\nRequirement already satisfied: jupyterlab-pygments in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from nbconvert>=4.2->jupyter-contrib-nbextensions) (0.1.2)\nRequirement already satisfied: entrypoints>=0.2.2 in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from nbconvert>=4.2->jupyter-contrib-nbextensions) (0.3)\nRequirement already satisfied: nbclient<0.6.0,>=0.5.0 in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from nbconvert>=4.2->jupyter-contrib-nbextensions) (0.5.1)\nRequirement already satisfied: defusedxml in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from nbconvert>=4.2->jupyter-contrib-nbextensions) (0.6.0)\nRequirement already satisfied: mistune<2,>=0.8.1 in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from nbconvert>=4.2->jupyter-contrib-nbextensions) (0.8.4)\nRequirement already satisfied: bleach in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from nbconvert>=4.2->jupyter-contrib-nbextensions) (3.2.1)\nRequirement already satisfied: ipython in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from jupyter-latex-envs>=1.3.8->jupyter-contrib-nbextensions) (7.19.0)\nRequirement already satisfied: python-dateutil>=2.1 in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from jupyter-client>=5.3.4->notebook>=4.0->jupyter-contrib-nbextensions) (2.8.1)\nRequirement already satisfied: cffi>=1.0.0 in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from argon2-cffi->notebook>=4.0->jupyter-contrib-nbextensions) (1.14.3)\nRequirement already satisfied: six in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from argon2-cffi->notebook>=4.0->jupyter-contrib-nbextensions) (1.15.0)\nRequirement already satisfied: jsonschema!=2.5.0,>=2.4 in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from nbformat->notebook>=4.0->jupyter-contrib-nbextensions) (3.2.0)\nRequirement already satisfied: pywinpty>=0.5 in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from terminado>=0.8.3->notebook>=4.0->jupyter-contrib-nbextensions) (0.5.7)\nRequirement already satisfied: MarkupSafe>=0.23 in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from jinja2->notebook>=4.0->jupyter-contrib-nbextensions) (1.1.1)\nRequirement already satisfied: nest-asyncio in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from nbclient<0.6.0,>=0.5.0->nbconvert>=4.2->jupyter-contrib-nbextensions) (1.4.2)\nRequirement already satisfied: async-generator in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from nbclient<0.6.0,>=0.5.0->nbconvert>=4.2->jupyter-contrib-nbextensions) (1.10)\nRequirement already satisfied: webencodings in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from bleach->nbconvert>=4.2->jupyter-contrib-nbextensions) (0.5.1)\nRequirement already satisfied: packaging in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from bleach->nbconvert>=4.2->jupyter-contrib-nbextensions) (20.4)\nRequirement already satisfied: jedi>=0.10 in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from ipython->jupyter-latex-envs>=1.3.8->jupyter-contrib-nbextensions) (0.17.1)\nRequirement already satisfied: pickleshare in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from ipython->jupyter-latex-envs>=1.3.8->jupyter-contrib-nbextensions) (0.7.5)\nRequirement already satisfied: decorator in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from ipython->jupyter-latex-envs>=1.3.8->jupyter-contrib-nbextensions) (4.4.2)\nRequirement already satisfied: prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from ipython->jupyter-latex-envs>=1.3.8->jupyter-contrib-nbextensions) (3.0.8)\nRequirement already satisfied: backcall in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from ipython->jupyter-latex-envs>=1.3.8->jupyter-contrib-nbextensions) (0.2.0)\nRequirement already satisfied: colorama; sys_platform == \"win32\" in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from ipython->jupyter-latex-envs>=1.3.8->jupyter-contrib-nbextensions) (0.4.4)\nRequirement already satisfied: pycparser in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from cffi>=1.0.0->argon2-cffi->notebook>=4.0->jupyter-contrib-nbextensions) (2.20)\nRequirement already satisfied: attrs>=17.4.0 in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from jsonschema!=2.5.0,>=2.4->nbformat->notebook>=4.0->jupyter-contrib-nbextensions) (20.3.0)\nRequirement already satisfied: pyrsistent>=0.14.0 in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from jsonschema!=2.5.0,>=2.4->nbformat->notebook>=4.0->jupyter-contrib-nbextensions) (0.17.3)\nRequirement already satisfied: pyparsing>=2.0.2 in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from packaging->bleach->nbconvert>=4.2->jupyter-contrib-nbextensions) (2.4.7)\nRequirement already satisfied: parso<0.8.0,>=0.7.0 in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from jedi>=0.10->ipython->jupyter-latex-envs>=1.3.8->jupyter-contrib-nbextensions) (0.7.0)\nRequirement already satisfied: wcwidth in c:\\users\\prathmesh\\anaconda3\\lib\\site-packages (from prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0->ipython->jupyter-latex-envs>=1.3.8->jupyter-contrib-nbextensions) (0.2.5)\n"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "!jupyter contrib nbextension install --user\n",
"execution_count": 71,
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": "[I 11:38:01 InstallContribNbextensionsApp] jupyter contrib nbextension install --user\n[I 11:38:01 InstallContribNbextensionsApp] Installing jupyter_contrib_nbextensions nbextension files to jupyter data directory\n[I 11:38:02 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\addbefore -> addbefore\n[I 11:38:02 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\addbefore\\\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\addbefore\\addbefore.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\addbefore\\addbefore.yaml\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\addbefore\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\addbefore\\icon.png\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\addbefore\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\addbefore\\main.js\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\addbefore\\readme.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\addbefore\\readme.md\n[I 11:38:02 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:02 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\autosavetime -> autosavetime\n[I 11:38:02 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\autosavetime\\\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\autosavetime\\autosavetime.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\autosavetime\\autosavetime.yaml\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\autosavetime\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\autosavetime\\icon.png\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\autosavetime\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\autosavetime\\main.js\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\autosavetime\\README.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\autosavetime\\README.md\n[I 11:38:02 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:02 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\autoscroll -> autoscroll\n[I 11:38:02 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\autoscroll\\\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\autoscroll\\autoscroll.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\autoscroll\\autoscroll.yaml\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\autoscroll\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\autoscroll\\icon.png\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\autoscroll\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\autoscroll\\main.js\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\autoscroll\\README.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\autoscroll\\README.md\n[I 11:38:02 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:02 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\cell_filter -> cell_filter\n[I 11:38:02 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\cell_filter\\\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\cell_filter\\cell_filter.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\cell_filter\\cell_filter.js\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\cell_filter\\cell_filter.yml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\cell_filter\\cell_filter.yml\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\cell_filter\\README.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\cell_filter\\README.md\n[I 11:38:02 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:02 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\codefolding -> codefolding\n[I 11:38:02 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\codefolding\\codefolding.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\codefolding.yaml\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\codefolding\\codefolding_editor.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\codefolding_editor.png\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\codefolding\\codefolding_editor.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\codefolding_editor.yaml\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\codefolding\\codefolding_firstline_folded.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\codefolding_firstline_folded.png\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\codefolding\\codefolding_firstline_unfolded.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\codefolding_firstline_unfolded.png\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\codefolding\\codefolding_indent_folded_1.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\codefolding_indent_folded_1.png\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\codefolding\\codefolding_indent_folded_2.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\codefolding_indent_folded_2.png\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\codefolding\\codefolding_indent_unfolded.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\codefolding_indent_unfolded.png\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\codefolding\\edit.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\edit.js\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\codefolding\\firstline-fold.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\firstline-fold.js\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\codefolding\\foldgutter.css -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\foldgutter.css\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\codefolding\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\icon.png\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\codefolding\\magic-fold.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\magic-fold.js\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\codefolding\\magic-folded.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\magic-folded.png\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\codefolding\\magic-unfolded.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\magic-unfolded.png\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\codefolding\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\main.js\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\codefolding\\readme.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\readme.md\n[I 11:38:02 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:02 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\codefolding -> codefolding\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\codefolding.yaml\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\codefolding_editor.png\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\codefolding_editor.yaml\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\codefolding_firstline_folded.png\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\codefolding_firstline_unfolded.png\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\codefolding_indent_folded_1.png\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\codefolding_indent_folded_2.png\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\codefolding_indent_unfolded.png\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\edit.js\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\firstline-fold.js\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\foldgutter.css\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\icon.png\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\magic-fold.js\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\magic-folded.png\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\magic-unfolded.png\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\main.js\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codefolding\\readme.md\n[I 11:38:02 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:02 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\codemirror_mode_extensions -> codemirror_mode_extensions\n[I 11:38:02 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codemirror_mode_extensions\\\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\codemirror_mode_extensions\\codemirror_mode_extensions.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codemirror_mode_extensions\\codemirror_mode_extensions.yaml\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\codemirror_mode_extensions\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\codemirror_mode_extensions\\main.js\n[I 11:38:02 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:02 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\code_font_size -> code_font_size\n[I 11:38:02 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_font_size\\\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\code_font_size\\code_font_size.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_font_size\\code_font_size.js\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\code_font_size\\code_font_size.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_font_size\\code_font_size.yaml\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\code_font_size\\README.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_font_size\\README.md\n[I 11:38:02 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:02 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\code_prettify -> code_prettify\n[I 11:38:02 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\code_prettify\\2to3.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\2to3.js\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\code_prettify\\2to3.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\2to3.yaml\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\code_prettify\\autopep8.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\autopep8.js\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\code_prettify\\autopep8.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\autopep8.yaml\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\code_prettify\\code_prettify.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\code_prettify.js\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\code_prettify\\code_prettify.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\code_prettify.yaml\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\code_prettify\\demo-jv.gif -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\demo-jv.gif\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\code_prettify\\demo-py.gif -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\demo-py.gif\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\code_prettify\\demo-R.gif -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\demo-R.gif\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\code_prettify\\demo_2to3.gif -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\demo_2to3.gif\n"
},
{
"name": "stderr",
"output_type": "stream",
"text": "[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\code_prettify\\isort.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\isort.js\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\code_prettify\\isort.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\isort.yaml\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\code_prettify\\kernel_exec_on_cell.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\kernel_exec_on_cell.js\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\code_prettify\\README.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\README.md\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\code_prettify\\README_2to3.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\README_2to3.md\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\code_prettify\\README_autopep8.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\README_autopep8.md\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\code_prettify\\README_code_prettify.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\README_code_prettify.md\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\code_prettify\\README_isort.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\README_isort.md\n[I 11:38:02 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:02 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\code_prettify -> code_prettify\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\2to3.js\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\2to3.yaml\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\autopep8.js\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\autopep8.yaml\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\code_prettify.js\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\code_prettify.yaml\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\demo-jv.gif\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\demo-py.gif\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\demo-R.gif\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\demo_2to3.gif\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\isort.js\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\isort.yaml\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\kernel_exec_on_cell.js\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\README.md\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\README_2to3.md\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\README_autopep8.md\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\README_code_prettify.md\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\README_isort.md\n[I 11:38:02 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:02 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\code_prettify -> code_prettify\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\2to3.js\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\2to3.yaml\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\autopep8.js\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\autopep8.yaml\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\code_prettify.js\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\code_prettify.yaml\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\demo-jv.gif\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\demo-py.gif\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\demo-R.gif\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\demo_2to3.gif\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\isort.js\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\isort.yaml\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\kernel_exec_on_cell.js\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\README.md\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\README_2to3.md\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\README_autopep8.md\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\README_code_prettify.md\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\README_isort.md\n[I 11:38:02 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:02 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\code_prettify -> code_prettify\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\2to3.js\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\2to3.yaml\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\autopep8.js\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\autopep8.yaml\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\code_prettify.js\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\code_prettify.yaml\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\demo-jv.gif\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\demo-py.gif\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\demo-R.gif\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\demo_2to3.gif\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\isort.js\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\isort.yaml\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\kernel_exec_on_cell.js\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\README.md\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\README_2to3.md\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\README_autopep8.md\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\README_code_prettify.md\n[I 11:38:02 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\code_prettify\\README_isort.md\n[I 11:38:02 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:02 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\collapsible_headings -> collapsible_headings\n[I 11:38:02 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\collapsible_headings\\\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\collapsible_headings\\collapsible_headings.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\collapsible_headings\\collapsible_headings.yaml\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\collapsible_headings\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\collapsible_headings\\icon.png\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\collapsible_headings\\main.css -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\collapsible_headings\\main.css\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\collapsible_headings\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\collapsible_headings\\main.js\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\collapsible_headings\\readme.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\collapsible_headings\\readme.md\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\collapsible_headings\\screenshot.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\collapsible_headings\\screenshot.png\n[I 11:38:02 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:02 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\comment-uncomment -> comment-uncomment\n[I 11:38:02 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\comment-uncomment\\\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\comment-uncomment\\comment-uncomment.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\comment-uncomment\\comment-uncomment.yaml\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\comment-uncomment\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\comment-uncomment\\icon.png\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\comment-uncomment\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\comment-uncomment\\main.js\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\comment-uncomment\\readme.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\comment-uncomment\\readme.md\n[I 11:38:02 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:02 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\contrib_nbextensions_help_item -> contrib_nbextensions_help_item\n[I 11:38:02 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\contrib_nbextensions_help_item\\\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\contrib_nbextensions_help_item\\contrib_nbextensions_help_item.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\contrib_nbextensions_help_item\\contrib_nbextensions_help_item.yaml\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\contrib_nbextensions_help_item\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\contrib_nbextensions_help_item\\main.js\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\contrib_nbextensions_help_item\\README.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\contrib_nbextensions_help_item\\README.md\n[I 11:38:02 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:02 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\datestamper -> datestamper\n[I 11:38:02 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\datestamper\\\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\datestamper\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\datestamper\\icon.png\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\datestamper\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\datestamper\\main.js\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\datestamper\\main.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\datestamper\\main.yaml\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\datestamper\\readme.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\datestamper\\readme.md\n[I 11:38:02 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:02 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\equation-numbering -> equation-numbering\n[I 11:38:02 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\equation-numbering\\\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\equation-numbering\\button.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\equation-numbering\\button.png\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\equation-numbering\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\equation-numbering\\icon.png\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\equation-numbering\\info.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\equation-numbering\\info.yaml\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\equation-numbering\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\equation-numbering\\main.js\n[I 11:38:02 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\equation-numbering\\readme.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\equation-numbering\\readme.md\n[I 11:38:03 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:03 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\execute_time -> execute_time\n[I 11:38:03 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\execute_time\\\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\execute_time\\ExecuteTime.css -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\execute_time\\ExecuteTime.css\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\execute_time\\ExecuteTime.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\execute_time\\ExecuteTime.js\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\execute_time\\ExecuteTime.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\execute_time\\ExecuteTime.yaml\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\execute_time\\execution-timings-box.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\execute_time\\execution-timings-box.png\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\execute_time\\execution-timings-menu.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\execute_time\\execution-timings-menu.png\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\execute_time\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\execute_time\\icon.png\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\execute_time\\readme.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\execute_time\\readme.md\n[I 11:38:03 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:03 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\execution_dependencies -> execution_dependencies\n[I 11:38:03 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\execution_dependencies\\\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\execution_dependencies\\execution_dependencies.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\execution_dependencies\\execution_dependencies.js\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\execution_dependencies\\execution_dependencies.yml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\execution_dependencies\\execution_dependencies.yml\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\execution_dependencies\\README.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\execution_dependencies\\README.md\n[I 11:38:03 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:03 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\exercise -> exercise\n[I 11:38:03 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\exercise\\\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\exercise\\exercise.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\exercise\\exercise.yaml\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\exercise\\history.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\exercise\\history.md\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\exercise\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\exercise\\icon.png\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\exercise\\image.gif -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\exercise\\image.gif\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\exercise\\main.css -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\exercise\\main.css\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\exercise\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\exercise\\main.js\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\exercise\\readme.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\exercise\\readme.md\n[I 11:38:03 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:03 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\exercise2 -> exercise2\n[I 11:38:03 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\exercise2\\\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\exercise2\\exercise2.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\exercise2\\exercise2.yaml\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\exercise2\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\exercise2\\icon.png\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\exercise2\\image.gif -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\exercise2\\image.gif\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\exercise2\\main.css -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\exercise2\\main.css\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\exercise2\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\exercise2\\main.js\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\exercise2\\readme.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\exercise2\\readme.md\n[I 11:38:03 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:03 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\export_embedded -> export_embedded\n[I 11:38:03 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\export_embedded\\\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\export_embedded\\export_embedded.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\export_embedded\\export_embedded.yaml\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\export_embedded\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\export_embedded\\icon.png\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\export_embedded\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\export_embedded\\main.js\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\export_embedded\\readme.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\export_embedded\\readme.md\n[I 11:38:03 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:03 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\freeze -> freeze\n[I 11:38:03 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\freeze\\\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\freeze\\config.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\freeze\\config.yaml\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\freeze\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\freeze\\icon.png\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\freeze\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\freeze\\main.js\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\freeze\\readme.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\freeze\\readme.md\n[I 11:38:03 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:03 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\gist_it -> gist_it\n[I 11:38:03 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\gist_it\\\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\gist_it\\gist_it.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\gist_it\\gist_it.yaml\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\gist_it\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\gist_it\\icon.png\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\gist_it\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\gist_it\\main.js\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\gist_it\\readme.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\gist_it\\readme.md\n[I 11:38:03 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:03 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\help_panel -> help_panel\n[I 11:38:03 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\help_panel\\\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\help_panel\\help_panel.css -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\help_panel\\help_panel.css\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\help_panel\\help_panel.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\help_panel\\help_panel.js\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\help_panel\\help_panel.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\help_panel\\help_panel.yaml\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\help_panel\\help_panel_ext.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\help_panel\\help_panel_ext.png\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\help_panel\\help_panel_ext_fullscreen.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\help_panel\\help_panel_ext_fullscreen.png\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\help_panel\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\help_panel\\icon.png\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\help_panel\\readme.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\help_panel\\readme.md\n[I 11:38:03 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\help_panel\\img\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\help_panel\\img\\handle-v.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\help_panel\\img\\handle-v.png\n[I 11:38:03 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:03 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\hide_header -> hide_header\n[I 11:38:03 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\hide_header\\\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\hide_header\\hide_header.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\hide_header\\hide_header.yaml\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\hide_header\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\hide_header\\main.js\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\hide_header\\README.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\hide_header\\README.md\n[I 11:38:03 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:03 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\hide_input -> hide_input\n[I 11:38:03 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\hide_input\\\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\hide_input\\hide-input.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\hide_input\\hide-input.yaml\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\hide_input\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\hide_input\\icon.png\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\hide_input\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\hide_input\\main.js\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\hide_input\\readme.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\hide_input\\readme.md\n[I 11:38:03 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:03 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\hide_input_all -> hide_input_all\n[I 11:38:03 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\hide_input_all\\\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\hide_input_all\\hide_input_all.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\hide_input_all\\hide_input_all.yaml\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\hide_input_all\\hide_input_all_hide.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\hide_input_all\\hide_input_all_hide.png\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\hide_input_all\\hide_input_all_show.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\hide_input_all\\hide_input_all_show.png\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\hide_input_all\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\hide_input_all\\icon.png\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\hide_input_all\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\hide_input_all\\main.js\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\hide_input_all\\readme.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\hide_input_all\\readme.md\n[I 11:38:03 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:03 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\highlighter -> highlighter\n[I 11:38:03 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\highlighter\\\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\highlighter\\demo_highlighter.html -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\highlighter\\demo_highlighter.html\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\highlighter\\demo_highlighter.ipynb -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\highlighter\\demo_highlighter.ipynb\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\highlighter\\export_highlights.html -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\highlighter\\export_highlights.html\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\highlighter\\export_highlights.ipynb -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\highlighter\\export_highlights.ipynb\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\highlighter\\export_highlights.pdf -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\highlighter\\export_highlights.pdf\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\highlighter\\export_highlights.tex -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\highlighter\\export_highlights.tex\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\highlighter\\highlighter.css -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\highlighter\\highlighter.css\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\highlighter\\highlighter.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\highlighter\\highlighter.js\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\highlighter\\highlighter.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\highlighter\\highlighter.yaml\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\highlighter\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\highlighter\\icon.png\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\highlighter\\image.gif -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\highlighter\\image.gif\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\highlighter\\readme.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\highlighter\\readme.md\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\highlighter\\tst_highlights.html -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\highlighter\\tst_highlights.html\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\highlighter\\tst_highlights.ipynb -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\highlighter\\tst_highlights.ipynb\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\highlighter\\tst_highlights.pdf -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\highlighter\\tst_highlights.pdf\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\highlighter\\tst_highlights.tex -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\highlighter\\tst_highlights.tex\n[I 11:38:03 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:03 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\hinterland -> hinterland\n[I 11:38:03 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\hinterland\\\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\hinterland\\hinterland.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\hinterland\\hinterland.js\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\hinterland\\hinterland.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\hinterland\\hinterland.yaml\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\hinterland\\README.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\hinterland\\README.md\n[I 11:38:03 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:03 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\init_cell -> init_cell\n[I 11:38:03 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\init_cell\\\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\init_cell\\cell_toolbar_menu.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\init_cell\\cell_toolbar_menu.png\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\init_cell\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\init_cell\\icon.png\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\init_cell\\init_cell.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\init_cell\\init_cell.yaml\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\init_cell\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\init_cell\\main.js\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\init_cell\\README.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\init_cell\\README.md\n[I 11:38:03 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:03 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\keyboard_shortcut_editor -> keyboard_shortcut_editor\n[I 11:38:03 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\keyboard_shortcut_editor\\\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\keyboard_shortcut_editor\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\keyboard_shortcut_editor\\icon.png\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\keyboard_shortcut_editor\\keyboard_shortcut_editor.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\keyboard_shortcut_editor\\keyboard_shortcut_editor.yaml\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\keyboard_shortcut_editor\\kse_components.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\keyboard_shortcut_editor\\kse_components.js\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\keyboard_shortcut_editor\\main.css -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\keyboard_shortcut_editor\\main.css\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\keyboard_shortcut_editor\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\keyboard_shortcut_editor\\main.js\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\keyboard_shortcut_editor\\quickhelp_shim.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\keyboard_shortcut_editor\\quickhelp_shim.js\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\keyboard_shortcut_editor\\README.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\keyboard_shortcut_editor\\README.md\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\keyboard_shortcut_editor\\readme_add_new_link.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\keyboard_shortcut_editor\\readme_add_new_link.png\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\keyboard_shortcut_editor\\readme_add_new_select_action.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\keyboard_shortcut_editor\\readme_add_new_select_action.png\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\keyboard_shortcut_editor\\readme_comma.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\keyboard_shortcut_editor\\readme_comma.png\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\keyboard_shortcut_editor\\readme_conflict.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\keyboard_shortcut_editor\\readme_conflict.png\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\keyboard_shortcut_editor\\readme_dropdown.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\keyboard_shortcut_editor\\readme_dropdown.png\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\keyboard_shortcut_editor\\readme_menu_item.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\keyboard_shortcut_editor\\readme_menu_item.png\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\keyboard_shortcut_editor\\readme_reset_disabled.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\keyboard_shortcut_editor\\readme_reset_disabled.png\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\keyboard_shortcut_editor\\readme_shortcut_editor_blank.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\keyboard_shortcut_editor\\readme_shortcut_editor_blank.png\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\keyboard_shortcut_editor\\readme_shortcut_editor_success.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\keyboard_shortcut_editor\\readme_shortcut_editor_success.png\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\keyboard_shortcut_editor\\readme_undefined_key.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\keyboard_shortcut_editor\\readme_undefined_key.png\n[I 11:38:03 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:03 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\limit_output -> limit_output\n[I 11:38:03 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\limit_output\\\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\limit_output\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\limit_output\\icon.png\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\limit_output\\limit-output.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\limit_output\\limit-output.yaml\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\limit_output\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\limit_output\\main.js\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\limit_output\\readme.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\limit_output\\readme.md\n[I 11:38:03 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:03 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\livemdpreview -> livemdpreview\n[I 11:38:03 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\livemdpreview\\\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\livemdpreview\\livemdpreview.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\livemdpreview\\livemdpreview.js\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\livemdpreview\\livemdpreview.yml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\livemdpreview\\livemdpreview.yml\n[I 11:38:03 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:03 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\load_tex_macros -> load_tex_macros\n[I 11:38:03 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\load_tex_macros\\\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\load_tex_macros\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\load_tex_macros\\icon.png\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\load_tex_macros\\load_tex_macros.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\load_tex_macros\\load_tex_macros.yaml\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\load_tex_macros\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\load_tex_macros\\main.js\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\load_tex_macros\\readme.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\load_tex_macros\\readme.md\n[I 11:38:03 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:03 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\move_selected_cells -> move_selected_cells\n[I 11:38:03 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\move_selected_cells\\\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\move_selected_cells\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\move_selected_cells\\main.js\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\move_selected_cells\\move_selected_cells.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\move_selected_cells\\move_selected_cells.yaml\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\move_selected_cells\\README.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\move_selected_cells\\README.md\n[I 11:38:03 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:03 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\navigation-hotkeys -> navigation-hotkeys\n[I 11:38:03 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\navigation-hotkeys\\\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\navigation-hotkeys\\hotkeys.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\navigation-hotkeys\\hotkeys.yaml\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\navigation-hotkeys\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\navigation-hotkeys\\icon.png\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\navigation-hotkeys\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\navigation-hotkeys\\main.js\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\navigation-hotkeys\\readme.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\navigation-hotkeys\\readme.md\n[I 11:38:03 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:03 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\nbTranslate -> nbTranslate\n[I 11:38:03 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\nbTranslate\\\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\nbTranslate\\demo1.gif -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\nbTranslate\\demo1.gif\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\nbTranslate\\demo2.gif -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\nbTranslate\\demo2.gif\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\nbTranslate\\languages.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\nbTranslate\\languages.js\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\nbTranslate\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\nbTranslate\\main.js\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\nbTranslate\\mutils.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\nbTranslate\\mutils.js\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\nbTranslate\\nbTranslate.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\nbTranslate\\nbTranslate.js\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\nbTranslate\\nbTranslate.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\nbTranslate\\nbTranslate.yaml\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\nbTranslate\\README.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\nbTranslate\\README.md\n[I 11:38:03 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:03 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\notify -> notify\n[I 11:38:03 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\notify\\\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\notify\\notification.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\notify\\notification.png\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\notify\\notify.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\notify\\notify.js\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\notify\\notify.mp3 -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\notify\\notify.mp3\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\notify\\notify.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\notify\\notify.yaml\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\notify\\readme.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\notify\\readme.md\n[I 11:38:03 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:03 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\printview -> printview\n[I 11:38:03 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\printview\\\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\printview\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\printview\\icon.png\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\printview\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\printview\\main.js\n[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\printview\\printview-button.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\printview\\printview-button.png\n"
},
{
"name": "stderr",
"output_type": "stream",
"text": "[I 11:38:03 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\printview\\printview.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\printview\\printview.yaml\n[I 11:38:04 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\printview\\readme.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\printview\\readme.md\n[I 11:38:04 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:04 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\python-markdown -> python-markdown\n[I 11:38:04 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\python-markdown\\\n[I 11:38:04 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\python-markdown\\main.css -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\python-markdown\\main.css\n[I 11:38:04 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\python-markdown\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\python-markdown\\main.js\n[I 11:38:04 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\python-markdown\\python-markdown-post.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\python-markdown\\python-markdown-post.png\n[I 11:38:04 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\python-markdown\\python-markdown-pre.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\python-markdown\\python-markdown-pre.png\n[I 11:38:04 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\python-markdown\\python-markdown.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\python-markdown\\python-markdown.png\n[I 11:38:04 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\python-markdown\\python-markdown.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\python-markdown\\python-markdown.yaml\n[I 11:38:04 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\python-markdown\\readme.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\python-markdown\\readme.md\n[I 11:38:04 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\python-markdown\\trusted.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\python-markdown\\trusted.png\n[I 11:38:04 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\python-markdown\\untrusted.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\python-markdown\\untrusted.png\n[I 11:38:04 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:04 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\qtconsole -> qtconsole\n[I 11:38:04 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\qtconsole\\\n[I 11:38:04 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\qtconsole\\qtconsole.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\qtconsole\\qtconsole.js\n[I 11:38:04 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\qtconsole\\qtconsole.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\qtconsole\\qtconsole.yaml\n[I 11:38:04 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\qtconsole\\README.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\qtconsole\\README.md\n[I 11:38:04 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:04 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\rubberband -> rubberband\n[I 11:38:04 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\rubberband\\\n[I 11:38:04 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\rubberband\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\rubberband\\icon.png\n[I 11:38:04 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\rubberband\\main.css -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\rubberband\\main.css\n[I 11:38:04 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\rubberband\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\rubberband\\main.js\n[I 11:38:04 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\rubberband\\readme.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\rubberband\\readme.md\n[I 11:38:04 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\rubberband\\rubberband.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\rubberband\\rubberband.yaml\n[I 11:38:05 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:05 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\ruler -> ruler\n[I 11:38:05 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\ruler\\\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\ruler\\edit.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\ruler\\edit.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\ruler\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\ruler\\icon.png\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\ruler\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\ruler\\main.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\ruler\\readme.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\ruler\\readme.md\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\ruler\\ruler.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\ruler\\ruler.yaml\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\ruler\\ruler_editor.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\ruler\\ruler_editor.yaml\n[I 11:38:05 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:05 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\ruler -> ruler\n[I 11:38:05 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\ruler\\edit.js\n[I 11:38:05 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\ruler\\icon.png\n[I 11:38:05 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\ruler\\main.js\n[I 11:38:05 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\ruler\\readme.md\n[I 11:38:05 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\ruler\\ruler.yaml\n[I 11:38:05 InstallContribNbextensionsApp] Up to date: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\ruler\\ruler_editor.yaml\n[I 11:38:05 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:05 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\runtools -> runtools\n[I 11:38:05 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\runtools\\\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\runtools\\annotations.odg -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\runtools\\annotations.odg\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\runtools\\cellstate.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\runtools\\cellstate.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\runtools\\demo.gif -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\runtools\\demo.gif\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\runtools\\gutter.css -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\runtools\\gutter.css\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\runtools\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\runtools\\icon.png\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\runtools\\main.css -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\runtools\\main.css\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\runtools\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\runtools\\main.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\runtools\\readme.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\runtools\\readme.md\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\runtools\\runtools.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\runtools\\runtools.yaml\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\runtools\\runtools_execute.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\runtools\\runtools_execute.png\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\runtools\\runtools_lock.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\runtools\\runtools_lock.png\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\runtools\\runtools_marker.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\runtools\\runtools_marker.png\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\runtools\\runtools_nb.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\runtools\\runtools_nb.png\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\runtools\\runtools_show_hide.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\runtools\\runtools_show_hide.png\n[I 11:38:05 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:05 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\scratchpad -> scratchpad\n[I 11:38:05 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\scratchpad\\\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\scratchpad\\demo.gif -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\scratchpad\\demo.gif\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\scratchpad\\LICENSE -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\scratchpad\\LICENSE\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\scratchpad\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\scratchpad\\main.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\scratchpad\\README.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\scratchpad\\README.md\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\scratchpad\\scratchpad.css -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\scratchpad\\scratchpad.css\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\scratchpad\\scratchpad.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\scratchpad\\scratchpad.yaml\n[I 11:38:05 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:05 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\scroll_down -> scroll_down\n[I 11:38:05 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\scroll_down\\\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\scroll_down\\config.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\scroll_down\\config.yaml\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\scroll_down\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\scroll_down\\icon.png\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\scroll_down\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\scroll_down\\main.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\scroll_down\\readme.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\scroll_down\\readme.md\n[I 11:38:05 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:05 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\select_keymap -> select_keymap\n[I 11:38:05 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\select_keymap\\\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\select_keymap\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\select_keymap\\main.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\select_keymap\\README.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\select_keymap\\README.md\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\select_keymap\\select_keymap.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\select_keymap\\select_keymap.png\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\select_keymap\\select_keymap.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\select_keymap\\select_keymap.yaml\n[I 11:38:05 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:05 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\skill -> skill\n[I 11:38:05 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\skill\\\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\skill\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\skill\\main.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\skill\\README.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\skill\\README.md\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\skill\\skill.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\skill\\skill.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\skill\\skill.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\skill\\skill.yaml\n[I 11:38:05 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:05 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\skip-traceback -> skip-traceback\n[I 11:38:05 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\skip-traceback\\\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\skip-traceback\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\skip-traceback\\icon.png\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\skip-traceback\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\skip-traceback\\main.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\skip-traceback\\readme.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\skip-traceback\\readme.md\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\skip-traceback\\skip-traceback.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\skip-traceback\\skip-traceback.png\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\skip-traceback\\skip-traceback.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\skip-traceback\\skip-traceback.yaml\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\skip-traceback\\traceback.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\skip-traceback\\traceback.png\n[I 11:38:05 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:05 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets -> snippets\n[I 11:38:05 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets\\\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets\\main.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets\\README.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets\\README.md\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets\\snippets-demo.gif -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets\\snippets-demo.gif\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets\\snippets.json -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets\\snippets.json\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets\\snippets.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets\\snippets.yaml\n[I 11:38:05 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:05 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets_menu -> snippets_menu\n[I 11:38:05 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets_menu\\\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets_menu\\config.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets_menu\\config.yaml\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets_menu\\examples_for_custom.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets_menu\\examples_for_custom.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets_menu\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets_menu\\main.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets_menu\\readme.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets_menu\\readme.md\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets_menu\\screenshot1.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets_menu\\screenshot1.png\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets_menu\\screenshot2.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets_menu\\screenshot2.png\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets_menu\\screenshot3.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets_menu\\screenshot3.png\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets_menu\\snippets_menu.css -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets_menu\\snippets_menu.css\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets_menu\\snippets_submenu_markdown.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets_menu\\snippets_submenu_markdown.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets_menu\\snippets_submenu_python.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets_menu\\snippets_submenu_python.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets_menu\\thumbnail.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets_menu\\thumbnail.png\n[I 11:38:05 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets_menu\\snippets_submenus_python\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets_menu\\snippets_submenus_python\\astropy.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets_menu\\snippets_submenus_python\\astropy.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets_menu\\snippets_submenus_python\\h5py.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets_menu\\snippets_submenus_python\\h5py.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets_menu\\snippets_submenus_python\\matplotlib.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets_menu\\snippets_submenus_python\\matplotlib.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets_menu\\snippets_submenus_python\\numba.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets_menu\\snippets_submenus_python\\numba.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets_menu\\snippets_submenus_python\\numpy.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets_menu\\snippets_submenus_python\\numpy.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets_menu\\snippets_submenus_python\\numpy_polynomial.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets_menu\\snippets_submenus_python\\numpy_polynomial.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets_menu\\snippets_submenus_python\\numpy_ufuncs.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets_menu\\snippets_submenus_python\\numpy_ufuncs.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets_menu\\snippets_submenus_python\\pandas.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets_menu\\snippets_submenus_python\\pandas.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets_menu\\snippets_submenus_python\\python.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets_menu\\snippets_submenus_python\\python.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets_menu\\snippets_submenus_python\\python_regex.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets_menu\\snippets_submenus_python\\python_regex.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets_menu\\snippets_submenus_python\\scipy.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets_menu\\snippets_submenus_python\\scipy.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets_menu\\snippets_submenus_python\\scipy_constants.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets_menu\\snippets_submenus_python\\scipy_constants.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets_menu\\snippets_submenus_python\\scipy_special.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets_menu\\snippets_submenus_python\\scipy_special.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets_menu\\snippets_submenus_python\\sympy.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets_menu\\snippets_submenus_python\\sympy.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets_menu\\snippets_submenus_python\\sympy_assumptions.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets_menu\\snippets_submenus_python\\sympy_assumptions.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\snippets_menu\\snippets_submenus_python\\sympy_functions.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\snippets_menu\\snippets_submenus_python\\sympy_functions.js\n[I 11:38:05 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:05 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\spellchecker -> spellchecker\n[I 11:38:05 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\spellchecker\\\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\spellchecker\\config.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\spellchecker\\config.yaml\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\spellchecker\\download_new_dict.py -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\spellchecker\\download_new_dict.py\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\spellchecker\\main.css -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\spellchecker\\main.css\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\spellchecker\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\spellchecker\\main.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\spellchecker\\README.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\spellchecker\\README.md\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\spellchecker\\screenshot.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\spellchecker\\screenshot.png\n[I 11:38:05 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\spellchecker\\typo\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\spellchecker\\typo\\LICENSE.txt -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\spellchecker\\typo\\LICENSE.txt\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\spellchecker\\typo\\typo.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\spellchecker\\typo\\typo.js\n[I 11:38:05 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\spellchecker\\__pycache__\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\spellchecker\\__pycache__\\download_new_dict.cpython-38.pyc -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\spellchecker\\__pycache__\\download_new_dict.cpython-38.pyc\n[I 11:38:05 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:05 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\splitcell -> splitcell\n[I 11:38:05 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\splitcell\\\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\splitcell\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\splitcell\\icon.png\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\splitcell\\readme.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\splitcell\\readme.md\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\splitcell\\splitcell.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\splitcell\\splitcell.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\splitcell\\splitcell.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\splitcell\\splitcell.yaml\n[I 11:38:05 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:05 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\table_beautifier -> table_beautifier\n[I 11:38:05 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\table_beautifier\\\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\table_beautifier\\main.css -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\table_beautifier\\main.css\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\table_beautifier\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\table_beautifier\\main.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\table_beautifier\\README.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\table_beautifier\\README.md\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\table_beautifier\\table_beautifier.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\table_beautifier\\table_beautifier.yaml\n[I 11:38:05 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:05 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\toc2 -> toc2\n[I 11:38:05 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\toc2\\\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\toc2\\demo.gif -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\toc2\\demo.gif\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\toc2\\demo2.gif -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\toc2\\demo2.gif\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\toc2\\demo3.gif -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\toc2\\demo3.gif\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\toc2\\demo_dark.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\toc2\\demo_dark.png\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\toc2\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\toc2\\icon.png\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\toc2\\image.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\toc2\\image.png\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\toc2\\main.css -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\toc2\\main.css\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\toc2\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\toc2\\main.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\toc2\\README.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\toc2\\README.md\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\toc2\\toc2.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\toc2\\toc2.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\toc2\\toc2.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\toc2\\toc2.yaml\n[I 11:38:05 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:05 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\toggle_all_line_numbers -> toggle_all_line_numbers\n[I 11:38:05 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\toggle_all_line_numbers\\\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\toggle_all_line_numbers\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\toggle_all_line_numbers\\icon.png\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\toggle_all_line_numbers\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\toggle_all_line_numbers\\main.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\toggle_all_line_numbers\\main.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\toggle_all_line_numbers\\main.yaml\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\toggle_all_line_numbers\\readme.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\toggle_all_line_numbers\\readme.md\n[I 11:38:05 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:05 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\tree-filter -> tree-filter\n[I 11:38:05 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\tree-filter\\\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\tree-filter\\demo.gif -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\tree-filter\\demo.gif\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\tree-filter\\index.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\tree-filter\\index.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\tree-filter\\readme.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\tree-filter\\readme.md\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\tree-filter\\tree-filter.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\tree-filter\\tree-filter.yaml\n[I 11:38:05 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:05 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\varInspector -> varInspector\n[I 11:38:05 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\varInspector\\\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\varInspector\\demo.gif -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\varInspector\\demo.gif\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\varInspector\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\varInspector\\icon.png\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\varInspector\\jquery.tablesorter.min.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\varInspector\\jquery.tablesorter.min.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\varInspector\\main.css -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\varInspector\\main.css\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\varInspector\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\varInspector\\main.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\varInspector\\README.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\varInspector\\README.md\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\varInspector\\tablesorter_LICENSE.txt -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\varInspector\\tablesorter_LICENSE.txt\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\varInspector\\varInspector.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\varInspector\\varInspector.yaml\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\varInspector\\var_list.py -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\varInspector\\var_list.py\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\varInspector\\var_list.r -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\varInspector\\var_list.r\n[I 11:38:05 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\varInspector\\__pycache__\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\varInspector\\__pycache__\\var_list.cpython-38.pyc -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\varInspector\\__pycache__\\var_list.cpython-38.pyc\n[I 11:38:05 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:05 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\zenmode -> zenmode\n[I 11:38:05 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\zenmode\\\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\zenmode\\main.css -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\zenmode\\main.css\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\zenmode\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\zenmode\\main.js\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\zenmode\\README.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\zenmode\\README.md\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\zenmode\\zenmode.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\zenmode\\zenmode.yaml\n[I 11:38:05 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\zenmode\\images\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\zenmode\\images\\back1.jpg -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\zenmode\\images\\back1.jpg\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\zenmode\\images\\back11.jpg -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\zenmode\\images\\back11.jpg\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\zenmode\\images\\back12.jpg -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\zenmode\\images\\back12.jpg\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\zenmode\\images\\back2.jpg -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\zenmode\\images\\back2.jpg\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\zenmode\\images\\back21.jpg -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\zenmode\\images\\back21.jpg\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\zenmode\\images\\back22.jpg -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\zenmode\\images\\back22.jpg\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\zenmode\\images\\back3.jpg -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\zenmode\\images\\back3.jpg\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\zenmode\\images\\ipynblogo0.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\zenmode\\images\\ipynblogo0.png\n[I 11:38:05 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_contrib_nbextensions\\nbextensions\\zenmode\\images\\ipynblogo1.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\zenmode\\images\\ipynblogo1.png\n[I 11:38:06 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:06 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_highlight_selected_word\\static\\highlight_selected_word -> highlight_selected_word\n[I 11:38:06 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\highlight_selected_word\\\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_highlight_selected_word\\static\\highlight_selected_word\\configurator.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\highlight_selected_word\\configurator.yaml\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_highlight_selected_word\\static\\highlight_selected_word\\main.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\highlight_selected_word\\main.js\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\jupyter_highlight_selected_word\\static\\highlight_selected_word\\README.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\highlight_selected_word\\README.md\n[I 11:38:06 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:06 InstallContribNbextensionsApp] Installing c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static -> latex_envs\n[I 11:38:06 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\bibInNb4.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\bibInNb4.js\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\bibtex2.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\bibtex2.js\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\configuration_toolbar.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\configuration_toolbar.png\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\envsLatex.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\envsLatex.js\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\envsLatex.json -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\envsLatex.json\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\example.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\example.png\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\example_user_envs.json -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\example_user_envs.json\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\icon.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\icon.png\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\initNb.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\initNb.js\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\latex_envs.css -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\latex_envs.css\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\latex_envs.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\latex_envs.js\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\latex_envs.yaml -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\latex_envs.yaml\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\main_toolbar.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\main_toolbar.png\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\README.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\README.md\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\thmsInNb4.js -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\thmsInNb4.js\n[I 11:38:06 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\doc\\biblio_ipython.bib -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\biblio_ipython.bib\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\doc\\configuration_toolbar.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\configuration_toolbar.png\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\doc\\config_toolbar.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\config_toolbar.png\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\doc\\documentation.pdf -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\documentation.pdf\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\doc\\documentation.tex -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\documentation.tex\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\doc\\example.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\example.png\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\doc\\header.tex -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\header.tex\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\doc\\IEEEtran.bst -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\IEEEtran.bst\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\doc\\LaTeX_envs_menu.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\LaTeX_envs_menu.png\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\doc\\latex_env_doc.html -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\latex_env_doc.html\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\doc\\latex_env_doc.ipynb -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\latex_env_doc.ipynb\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\doc\\latex_env_doc.tex -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\latex_env_doc.tex\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\doc\\main_toolbar.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\main_toolbar.png\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\doc\\README.md -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\README.md\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\doc\\Toggles.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\Toggles.png\n[I 11:38:06 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\.ipynb_checkpoints\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\doc\\.ipynb_checkpoints\\latex_env_doc-checkpoint.ipynb -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\.ipynb_checkpoints\\latex_env_doc-checkpoint.ipynb\n[I 11:38:06 InstallContribNbextensionsApp] Making directory: C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\latex_env_doc_files\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\doc\\latex_env_doc_files\\latex_env_doc_23_2.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\latex_env_doc_files\\latex_env_doc_23_2.png\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\doc\\latex_env_doc_files\\latex_env_doc_24_2.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\latex_env_doc_files\\latex_env_doc_24_2.png\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\doc\\latex_env_doc_files\\latex_env_doc_26_2.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\latex_env_doc_files\\latex_env_doc_26_2.png\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\doc\\latex_env_doc_files\\latex_env_doc_27_2.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\latex_env_doc_files\\latex_env_doc_27_2.png\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\doc\\latex_env_doc_files\\latex_env_doc_41_0.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\latex_env_doc_files\\latex_env_doc_41_0.png\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\doc\\latex_env_doc_files\\latex_env_doc_42_0.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\latex_env_doc_files\\latex_env_doc_42_0.png\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\doc\\latex_env_doc_files\\latex_env_doc_43_0.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\latex_env_doc_files\\latex_env_doc_43_0.png\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\doc\\latex_env_doc_files\\latex_env_doc_44_0.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\latex_env_doc_files\\latex_env_doc_44_0.png\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\doc\\latex_env_doc_files\\latex_env_doc_45_0.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\latex_env_doc_files\\latex_env_doc_45_0.png\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\doc\\latex_env_doc_files\\latex_env_doc_46_0.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\latex_env_doc_files\\latex_env_doc_46_0.png\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\doc\\latex_env_doc_files\\latex_env_doc_47_0.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\latex_env_doc_files\\latex_env_doc_47_0.png\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\doc\\latex_env_doc_files\\latex_env_doc_48_0.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\latex_env_doc_files\\latex_env_doc_48_0.png\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\doc\\latex_env_doc_files\\latex_env_doc_49_0.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\latex_env_doc_files\\latex_env_doc_49_0.png\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\doc\\latex_env_doc_files\\latex_env_doc_50_0.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\latex_env_doc_files\\latex_env_doc_50_0.png\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\doc\\latex_env_doc_files\\latex_env_doc_51_0.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\latex_env_doc_files\\latex_env_doc_51_0.png\n[I 11:38:06 InstallContribNbextensionsApp] Copying: c:\\users\\prathmesh\\anaconda3\\lib\\site-packages\\latex_envs\\static\\doc\\latex_env_doc_files\\latex_env_doc_52_0.png -> C:\\Users\\Prathmesh\\AppData\\Roaming\\jupyter\\nbextensions\\latex_envs\\doc\\latex_env_doc_files\\latex_env_doc_52_0.png\n[I 11:38:06 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:06 InstallContribNbextensionsApp] Installing jupyter_contrib_nbextensions items to config in C:\\Users\\Prathmesh\\.jupyter\nEnabling: jupyter_nbextensions_configurator\n- Writing config: C:\\Users\\Prathmesh\\.jupyter\n - Validating...\n jupyter_nbextensions_configurator 0.4.1 ok\nEnabling notebook nbextension nbextensions_configurator/config_menu/main...\nEnabling tree nbextension nbextensions_configurator/tree_tab/main...\n[I 11:38:06 InstallContribNbextensionsApp] Enabling notebook extension contrib_nbextensions_help_item/main...\n[I 11:38:06 InstallContribNbextensionsApp] - Validating: ok\n[I 11:38:06 InstallContribNbextensionsApp] - Editing config: C:\\Users\\Prathmesh\\.jupyter\\jupyter_nbconvert_config.json\n[I 11:38:06 InstallContribNbextensionsApp] -- Configuring nbconvert template path\n[I 11:38:06 InstallContribNbextensionsApp] -- Configuring nbconvert preprocessors\n[I 11:38:06 InstallContribNbextensionsApp] - Writing config: C:\\Users\\Prathmesh\\.jupyter\\jupyter_nbconvert_config.json\n[I 11:38:06 InstallContribNbextensionsApp] -- Writing updated config file C:\\Users\\Prathmesh\\.jupyter\\jupyter_nbconvert_config.json\n"
}
]
},
{
"metadata": {
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"cell_type": "code",
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"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "To do:\n\n* Clean up some buggy exercises\n* Remove duplicate exercises\n* Add more documentation"
},
{
"metadata": {},
"cell_type": "markdown",
"source": "**Final Notes:**\n\nI am adding things still. You can come back and check for more information.\n\nAlso, if you **like my notebook**, <font style=\"color:blue;size:14px;\">please upvote it</font> as it will motivate me to come up with better approach in the upcoming notebooks."
},
{
"metadata": {},
"cell_type": "markdown",
"source": "<font color=\"blue\" size=+1.5><b>Check out my other kernels</b></font>\n\n<table style=\"font-family: 'Trebuchet MS', Arial, Helvetica, sans-serif;border-collapse: collapse;width: 100%;\">\t\n <tr>\n <th style=\"border: 1px solid #ddd;padding: 8px; padding-top: 12px;padding-bottom: 12px;text-align: left;background-color: #2987E7;color: white;\">Notebook</th>\n <th style=\"border: 1px solid #ddd;padding: 8px; padding-top: 12px;padding-bottom: 12px;text-align: left;background-color: #2987E7;color: white;\">Tags</th>\n </tr>\n <tr>\n <td style=\"text-align: left\"><a href=\"https://www.kaggle.com/rajacsp/reviews-with-nlp-wip\">Amazon Alexa Reviews with NLP</a> </td>\n <td style=\"text-align: left\">NLP, Spacy</td>\n </tr>\n <tr>\n <td style=\"text-align: left\"><a href=\"https://www.kaggle.com/rajacsp/sof-questions-eda-and-visual\">SOF Questions - EDA and Visual</a> </td>\n <td style=\"text-align: left\">Data Visual, Plotly</td>\n </tr>\n <tr>\n <td style=\"background-color: #f2f2f2;text-align: left\"><a href=\"https://www.kaggle.com/rajacsp/netflix-visualization-plotly-plots-treemap\">Netflix - Visualization, Plotly, Plots, and Treemap</a> </td>\n <td style=\"background-color: #f2f2f2;text-align: left\">Data Visual, Data Cleaning, Plotly</td>\n </tr>\n <tr>\n <td style=\"text-align: left\"><a href=\"https://www.kaggle.com/rajacsp/prediction-with-various-algorithms\">Prediction with various Algorithms</a> </td>\n <td style=\"text-align: left\">Random Forest, Logistic Regression</td>\n </tr>\n <tr>\n <td style=\"background-color: #f2f2f2;text-align: left\"><a href=\"https://www.kaggle.com/rajacsp/eda-and-visualization\">EDA and Visualization</a> </td>\n <td style=\"background-color: #f2f2f2;text-align: left\">Data Cleaning, Data Visual</td>\n </tr>\n <tr>\n <td style=\"text-align: left\"><a href=\"https://www.kaggle.com/rajacsp/job-analysis-eda-visual\">Job Analysis - EDA and Visual</a> </td>\n <td style=\"text-align: left\">Data Visual, EDA, Plotly</td>\n </tr> \n <tr>\n <td style=\"background-color: #f2f2f2;text-align: left\"><a href=\"https://www.kaggle.com/rajacsp/estonia-disaster-visualization\">Estonia Disaster - Visualization</a> </td>\n <td style=\"background-color: #f2f2f2;text-align: left\">Data Visual, EDA, Data Cleaning</td>\n </tr>\n \n <tr>\n <td style=\"text-align: left\"><a href=\"https://www.kaggle.com/rajacsp/pandas-dundas-challenge-100\" >Pandas 100+ exercises collection</a></td>\n <td style=\"text-align: left\">Pandas, Data Manipulation</td>\n </tr> \n <tr>\n <td style=\"background-color: #f2f2f2;text-align: left\"><a href=\"https://www.kaggle.com/rajacsp/prediction-with-various-algorithms\">Credit Card Fraud - Prediction with various algorithms</a></td>\n <td style=\"background-color: #f2f2f2;text-align: left\">Various ML Algorithms</td>\n </tr> \n <tr>\n <td style=\"text-align: left\"><a href=\"https://www.kaggle.com/rajacsp/linear-equations-real-time\">Linear Equations - Real Time</a> </td>\n <td style=\"text-align: left\">Linear Equation</td>\n </tr> \n</table>\n\n"
}
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"name": "python3",
"display_name": "Python 3",
"language": "python"
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"name": "python",
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"mimetype": "text/x-python",
"codemirror_mode": {
"name": "ipython",
"version": 3
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"pygments_lexer": "ipython3",
"nbconvert_exporter": "python",
"file_extension": ".py"
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"gist": {
"id": "",
"data": {
"description": "pandas-cheatsheet.ipynb",
"public": true
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"nbformat": 4,
"nbformat_minor": 4
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