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@bsmith89
Created February 23, 2016 22:21
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{
"cells": [
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x11051c5f8>"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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P2JxElLs2nme6f3TbPqQ8SXngkB35rI8iMu0zKwfMqz631Yiz5oSz5gFnxQM2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SnHZzeEbkY4yRiLORNnRt9Z0SiL2WbMr64/5ucvPuONPsdyS+xRiV2XWNRIGiwUR8wwjMc+BT6V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\nwjODVTCv8MxgFcwrPDNYBfMKzwz+D9n+6gJCPtVHAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x11045b438>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import numpy\n",
"import matplotlib.pyplot\n",
"\n",
"data = numpy.loadtxt(fname='./inflammation-01.csv',\n",
" delimiter=',')\n",
"matplotlib.pyplot.imshow(data)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"66\r\n"
]
}
],
"source": [
"!echo 66"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Untitled.ipynb\t inflammation-06.csv inflammation-12.csv\r\n",
"inflammation-01.csv inflammation-07.csv small-01.csv\r\n",
"inflammation-02.csv inflammation-08.csv small-02.csv\r\n",
"inflammation-03.csv inflammation-09.csv small-03.csv\r\n",
"inflammation-04.csv inflammation-10.csv\r\n",
"inflammation-05.csv inflammation-11.csv\r\n"
]
}
],
"source": [
"%ls"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"['.ipynb_checkpoints',\n",
" 'inflammation-01.csv',\n",
" 'inflammation-02.csv',\n",
" 'inflammation-03.csv',\n",
" 'inflammation-04.csv',\n",
" 'inflammation-05.csv',\n",
" 'inflammation-06.csv',\n",
" 'inflammation-07.csv',\n",
" 'inflammation-08.csv',\n",
" 'inflammation-09.csv',\n",
" 'inflammation-10.csv',\n",
" 'inflammation-11.csv',\n",
" 'inflammation-12.csv',\n",
" 'small-01.csv',\n",
" 'small-02.csv',\n",
" 'small-03.csv',\n",
" 'Untitled.ipynb']"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import os\n",
"\n",
"files = os.listdir()\n",
"files"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"'inflammation-04.csv'"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"files[4]"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"['inflammation-01.csv',\n",
" 'inflammation-02.csv',\n",
" 'inflammation-03.csv',\n",
" 'inflammation-04.csv',\n",
" 'inflammation-05.csv',\n",
" 'inflammation-06.csv',\n",
" 'inflammation-07.csv',\n",
" 'inflammation-08.csv',\n",
" 'inflammation-09.csv',\n",
" 'inflammation-10.csv',\n",
" 'inflammation-11.csv',\n",
" 'inflammation-12.csv']"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import glob\n",
"\n",
"glob.glob('inflammation*.csv')"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"(40,)"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import numpy\n",
"import matplotlib.pyplot\n",
"\n",
"data = numpy.loadtxt(fname='./inflammation-01.csv',\n",
" delimiter=',')\n",
"data.mean(axis=0).shape"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0x1105ca240>]"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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ffhtOPx0++AD+8pesvKWISINNnw5nngnrrQcDB0KzZtm/RqJb6J9/7sn8qaeU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\nKtoUWbV5AAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1105334e0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import numpy\n",
"import matplotlib.pyplot\n",
"\n",
"data = numpy.loadtxt(fname='./inflammation-01.csv',\n",
" delimiter=',')\n",
"mean_data = data.mean(axis=0)\n",
"matplotlib.pyplot.plot(mean_data)"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.text.Text at 0x110b97a90>"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x11068eda0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import numpy\n",
"import matplotlib.pyplot\n",
"\n",
"ax1 = matplotlib.pyplot.subplot(2, 1, 1)\n",
"ax2 = matplotlib.pyplot.subplot(2, 1, 2)\n",
"\n",
"data = numpy.loadtxt(fname='./inflammation-01.csv',\n",
" delimiter=',')\n",
"mean_data = data.mean(axis=0)\n",
"std_data = data.std(axis=0)\n",
"ax1.plot(mean_data)\n",
"ax2.plot(std_data)\n",
"ax1.set_ylabel('mean')\n",
"ax2.set_ylabel('stdev')"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"I'm done!\n"
]
},
{
"data": {
"image/png": 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2tinWEbB4u3+pZD8SmUHlhKcTO9CmrQvxE1tRJUVN7dPBXPGO1bluZnoe1dZd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\nKKhioCiKoqCKgaIoioIqBoqiKArw/0JxOfTuxlcMAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x110ec69e8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import numpy\n",
"import matplotlib.pyplot\n",
"import glob\n",
"\n",
"inflammation_files = glob.glob('inflammation-*.csv')\n",
"fig, (ax1, ax2) = matplotlib.pyplot.subplots(2, 1)\n",
"\n",
"\n",
"for filename in inflammation_files:\n",
" data = numpy.loadtxt(fname=filename,\n",
" delimiter=',')\n",
" mean_data = data.mean(axis=0)\n",
" std_data = data.std(axis=0)\n",
" ax1.plot(mean_data)\n",
" ax2.plot(std_data)\n",
"\n",
"ax1.set_ylabel('mean')\n",
"ax2.set_ylabel('stdev')\n",
"print(\"I'm done!\")\n",
"\n",
"fig.savefig('mean_inflammation.png')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Einstein\n",
"['Einstein']\n",
"['Einstein', 'Darwin']\n"
]
},
{
"data": {
"text/plain": [
"'t'"
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people = ['Newton', 'Einstein', 'Darwin', 'Curie']\n",
"print(people[1])\n",
"print(people[1:2])\n",
"print(people[1:3])\n",
"\n",
"people[0][3]\n",
"\n",
"\n",
"\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Newton\n",
"Einstein\n",
"Darwin\n",
"Curie\n"
]
}
],
"source": [
"# Print each name on a separate line\n",
"for person in people:\n",
" print(person)"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"N\n",
"e\n",
"w\n",
"t\n",
"o\n",
"n\n",
"E\n",
"i\n",
"n\n",
"s\n",
"t\n",
"e\n",
"i\n",
"n\n",
"D\n",
"a\n",
"r\n",
"w\n",
"i\n",
"n\n",
"C\n",
"u\n",
"r\n",
"i\n",
"e\n"
]
}
],
"source": [
"people = ['Newton', 'Einstein', 'Darwin', 'Curie']\n",
"# Print every letter of every name\n",
"# in this list (each letter on a separate line)\n",
"\n",
"for person in people:\n",
" for letter in person:\n",
" print(letter)"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"It's Einstein!\n"
]
}
],
"source": [
"this_name = \"Einstein\"\n",
"\n",
"if this_name == \"Curi\":\n",
" print(\"It's Curi!\")\n",
"elif this_name == \"Einstein\":\n",
" print(\"It's Einstein!\")\n",
"else:\n",
" print(\"It's not Curi\")"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1 this\n"
]
}
],
"source": [
"print(1, \"this\")"
]
},
{
"cell_type": "code",
"execution_count": 68,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Newton has 1 e's\n",
"Einstein has 2 e's\n",
"Darwin has 0 e's\n",
"Curie has 1 e's\n"
]
}
],
"source": [
"# Count the number of 'e's in each name in this list\n",
"people = ['Newton', 'Einstein', 'Darwin', 'Curie']\n",
"\n",
"for person in people:\n",
" tally = 0\n",
" for letter in person:\n",
" if ('E' == letter) or (letter == 'e'):\n",
" tally = tally + 1\n",
" print(person, \"has\", str(tally), \"e's\")\n",
"# print (\"E's in <name>: <tally>)"
]
},
{
"cell_type": "code",
"execution_count": 73,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"I'm done!\n"
]
}
],
"source": [
"def count_es():\n",
" people = ['Newton', 'Einstein', 'Darwin', 'Curie']\n",
"\n",
" for person in people:\n",
" tally = 0\n",
" for letter in person:\n",
" if ('E' == letter) or (letter == 'e'):\n",
" tally = tally + 1\n",
" print(person, \"has\", str(tally), \"e's\")\n",
" \n",
"print(\"I'm done!\")"
]
},
{
"cell_type": "code",
"execution_count": 74,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Newton has 1 e's\n",
"Einstein has 2 e's\n",
"Darwin has 0 e's\n",
"Curie has 1 e's\n"
]
}
],
"source": [
"count_es()"
]
},
{
"cell_type": "code",
"execution_count": 75,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Newton has 1 e's\n",
"Einstein has 2 e's\n",
"Darwin has 0 e's\n",
"Curie has 1 e's\n"
]
}
],
"source": [
"the_people = ['Newton', 'Einstein', 'Darwin', 'Curie']\n",
"\n",
"def count_es(people):\n",
" for person in people:\n",
" tally = 0\n",
" for letter in person:\n",
" if ('E' == letter) or (letter == 'e'):\n",
" tally = tally + 1\n",
" print(person, \"has\", str(tally), \"e's\")\n",
" \n",
"count_es(the_people)"
]
},
{
"cell_type": "code",
"execution_count": 77,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Bobby has 0 e's\n",
"Edward has 1 e's\n",
"Newton has 1 e's\n",
"Einstein has 2 e's\n",
"Darwin has 0 e's\n",
"Curie has 1 e's\n"
]
}
],
"source": [
"the_people2 = ['Bobby', 'Edward']\n",
"count_es(the_people2)\n",
"count_es(the_people)"
]
},
{
"cell_type": "code",
"execution_count": 98,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"273.15"
]
},
"execution_count": 98,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def temp_in_c(in_f):\n",
" in_c = (in_f - 32) * (5 / 9)\n",
" return in_c\n",
"\n",
"def temp_in_k(in_c):\n",
" in_k = in_c + 273.15\n",
" return in_k\n",
" \n",
"f_temp = 32\n",
"temp_in_k(temp_in_c(f_temp))"
]
},
{
"cell_type": "code",
"execution_count": 120,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# This function centers our data so that the mean is\n",
"# :to:\n",
"def center(values, cent=0):\n",
" \"This function centers our data so that the mean is :to:\"\n",
" if len(values) == 0:\n",
" return []\n",
" \n",
" total = 0\n",
" for val in values:\n",
" total = total + val\n",
" # Now we have our total\n",
" mean = total / len(values)\n",
" output = []\n",
" for val in values:\n",
" output.append(val - mean + cent)\n",
" # and output is ready to go\n",
" return output\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 116,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import statistics\n",
"\n",
"assert center([]) == []\n",
"assert center([1]) == [0]\n",
"assert center([0, 1]) == [-0.5, 0.5]\n",
"assert center([0, 1], 0) == [-0.5, 0.5]\n",
"assert center([0, 1], 1) == [0.5, 1.5]\n",
"assert statistics.mean(center([0, 1.1], 10)) == 10"
]
},
{
"cell_type": "code",
"execution_count": 119,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Help on function center in module __main__:\n",
"\n",
"center(values, cent=0)\n",
" This function centers our data so that the mean is :to:\n",
"\n"
]
}
],
"source": [
"help(center)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.0"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
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