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Created August 3, 2016 19:17
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"%matplotlib inline\n",
"from IPython.core.pylabtools import figsize\n",
"import numpy as np\n",
"import pandas as pd\n",
"from matplotlib import pyplot as plt\n",
"import scipy.stats as stats"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {
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"source": [
"df = pd.read_csv(\"~/Desktop/BPrecip_5_2016.csv\", sep=\"\\t\")"
]
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{
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"execution_count": 40,
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"(469, 1)"
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"execution_count": 40,
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"output_type": "execute_result"
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"source": [
"df.shape"
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{
"cell_type": "code",
"execution_count": 39,
"metadata": {
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{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Report Created: 5/31/2016 3:52:55 PM</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>(</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Raft River\\nBasinwide Summary: May 1, 2016</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Averages/Medians based on 1981-2010 reference ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Elevation</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>(ft)\\nMonthly Total Precipitation for April 20...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>(in)\\nAverage</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>(in)\\n%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>Average\\nLast Year</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>(in)\\nLast Year % Avg\\nGeorge Creek\\n\\nSNOTEL\\...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>(ft)\\nCurrent Average (in) (in)\\n % Last Yea...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>(in)\\nAverage</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>(in)\\n%</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Report Created: 5/31/2016 3:52:55 PM\n",
"0 (\n",
"1 Raft River\\nBasinwide Summary: May 1, 2016\n",
"2 Averages/Medians based on 1981-2010 reference ...\n",
"3 Elevation\n",
"4 (ft)\\nMonthly Total Precipitation for April 20...\n",
"5 (in)\\nAverage\n",
"6 (in)\\n%\n",
"7 Average\\nLast Year\n",
"8 (in)\\nLast Year % Avg\\nGeorge Creek\\n\\nSNOTEL\\...\n",
"9 (ft)\\nCurrent Average (in) (in)\\n % Last Yea...\n",
"10 (in)\\nAverage\n",
"11 (in)\\n%"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
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],
"source": [
"df.head(12)"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<bound method NDFrame.describe of Report Created: 5/31/2016 3:52:55 PM\n",
"0 (\n",
"1 Raft River\\nBasinwide Summary: May 1, 2016\n",
"2 Averages/Medians based on 1981-2010 reference ...\n",
"3 Elevation\n",
"4 (ft)\\nMonthly Total Precipitation for April 20...\n",
"5 (in)\\nAverage\n",
"6 (in)\\n%\n",
"7 Average\\nLast Year\n",
"8 (in)\\nLast Year % Avg\\nGeorge Creek\\n\\nSNOTEL\\...\n",
"9 (ft)\\nCurrent Average (in) (in)\\n % Last Yea...\n",
"10 (in)\\nAverage\n",
"11 (in)\\n%\n",
"12 Average\\nLast Year\n",
"13 (in)\\nLast Year % Avg\\nTrial Lake\\n\\nSNOTEL\\n9...\n",
"14 (ft)\\nCurrent Average (in) (in)\\n%\n",
"15 Average\\nLast Year Last Year\n",
"16 (in)\\t% Avg\\nCurrent\n",
"17 (in)\\nAverage\n",
"18 (in)\\n%\n",
"19 Average\\nLast Year\n",
"20 (in)\\nLast Year % Avg\\nTrial Lake\\n\\nSNOTEL\\n9...\n",
"21 (ft)\\nCurrent Average (in) (in)\\n%\n",
"22 Average\\nLast Year Last Year\n",
"23 (in)\\t% Avg\\nCurrent\n",
"24 (in)\\nAverage\n",
"25 (in)\\n%\n",
"26 Average\\nLast Year\n",
"27 (in)\\nLast Year % Avg\\nTrial Lake\\n\\nSNOTEL\\n9...\n",
"28 (ft)\\nCurrent\n",
"29 (in)\\nAverage\n",
".. ...\n",
"439 (ft)\\nCurrent\n",
"440 (in)\\nAverage\n",
"441 (in)\\n\\t%\\tLa\n",
"442 Average\\nst Y (in)\\near\\nLast Year % Avg\\nCurrent\n",
"443 (in)\\nAverage\n",
"444 (in)\\n%\n",
"445 Average\\nLast Year\n",
"446 (in)\\nLast Year % Avg\\nGardner Peak\\nSNOTEL\\n8...\n",
"447 (ft)\\nCurrent\n",
"448 (in)\\nAverage\n",
"449 (in)\\n %\\tLast Year Average\\t(in)\\nLast Year...\n",
"450 (in)\\nAverage\n",
"451 (in)\\n%\n",
"452 Average\\nLast Year\n",
"453 (in)\\nLast Year % Avg\\nGutz Peak\\nSNOTEL\\n6763...\n",
"454 (ft)\\nCurrent\n",
"455 (in)\\nAverage\n",
"456 (in)\\n %\\tLast Year Average\\t(in)\\nLast Year...\n",
"457 (in)\\nAverage\n",
"458 (in)\\n%\n",
"459 Average\\nLast Year\n",
"460 (in)\\nLast Year % Avg\\nKolob\\tSNOTEL\\t9206\\t4\\...\n",
"461 Suu Ranch\\tSNOTEL\\t8179\\t4.1\\t1.8\\t22.5\\t11.7\n",
"462 Webster Flat\\tSNOTEL\\t9203\\t5.1\\t2.6\\t196%\\t2....\n",
"463 Midway Valley\\tSNOTEL\\t9800\\t5.6\\t3.1\\t181%\\t2...\n",
"464 Brian Head\\tSNOTEL\\t9972\\t5.3\\t1.9\\t25.6\\t14.5\n",
"465 Yankee Reservoir \\tSNOTEL\\t8708\\t3.2\\t1.5\\t...\n",
"466 Castle Valley\\tSNOTEL\\t9580\\t3.1\\t2.2\\t141%\\t1...\n",
"467 Basin Index\\t165%\\t77%\\t113%\\t61%\n",
"468 # of sites\\t4\\t4\\t4\\t4\n",
"\n",
"[469 rows x 1 columns]>"
]
},
"execution_count": 41,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.describe"
]
},
{
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"execution_count": null,
"metadata": {
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"source": []
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