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‎.ipynb_checkpoints/kolmogorov_smirnov_test-checkpoint.ipynb

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‎.ipynb_checkpoints/matplotlib_histogram-checkpoint.ipynb

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{
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"metadata": {
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"name": "",
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"signature": "sha256:3b458396023b4f0bb16484203d4883085bdd18ca77786ee4258987b04502cac1"
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"signature": "sha256:8014cb88cf5899e18f907a4b22f8dfa01f2da3748fdaa236ebdac220853aced8"
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},
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"nbformat": 3,
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"nbformat_minor": 0,
@@ -12,7 +12,7 @@
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Scatterplot In MatPlotLib\n",
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"# Histograms In MatPlotLib\n",
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"\n",
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"This snippit was written by [Chris R. Albon](http://www.chrisralbon.com/) and is part of his collection of [well-documented Python snippits](https://github.com/chrisalbon/code_py). All code is written in Python 3 in iPython notebook and offered under the [Creative Commons Attribution-ShareAlike 4.0 International License](http://creativecommons.org/licenses/by-sa/4.0/).\n",
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"\n",

‎.ipynb_checkpoints/pandas_drop_column_containing_certain_string-checkpoint.ipynb

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{
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"metadata": {
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"name": "",
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"signature": "sha256:895ef4622069632c7ca767372a14c9b64309d4c54fa940ae99c0662768a54ba6"
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},
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"nbformat": 3,
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"nbformat_minor": 0,
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"worksheets": [
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Drop A Column That Contains A Certain String In Pandas\n",
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"\n",
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"This snippit was written by [Chris R. Albon](http://www.chrisralbon.com/) and is part of his collection of [well-documented Python snippits](https://github.com/chrisalbon/code_py). All code is written in Python 3 in iPython notebook and offered under the [Creative Commons Attribution-ShareAlike 4.0 International License](http://creativecommons.org/licenses/by-sa/4.0/)."
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"import pandas as pd"
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],
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"language": "python",
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"metadata": {},
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"outputs": [],
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"prompt_number": 3
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"raw_data = {'regiment': ['Nighthawks', 'Nighthawks', 'Nighthawks', 'Nighthawks', 'Dragoons', 'Dragoons', 'Dragoons', 'Dragoons', 'Scouts', 'Scouts', 'Scouts', 'Scouts'], \n",
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" 'company': ['1st', '1st', '2nd', '2nd', '1st', '1st', '2nd', '2nd','1st', '1st', '2nd', '2nd'], \n",
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" 'name': ['Miller', 'Jacobson', 'Ali', 'Milner', 'Cooze', 'Jacon', 'Ryaner', 'Sone', 'Sloan', 'Piger', 'Riani', 'Ali'], \n",
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" 'preTestScore': [4, 24, 31, 2, 3, 4, 24, 31, 2, 3, 2, 3],\n",
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" 'postTestScore': [25, 94, 57, 62, 70, 25, 94, 57, 62, 70, 62, 70]}\n",
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"df = pd.DataFrame(raw_data, columns = ['regiment', 'company', 'name', 'preTestScore', 'postTestScore'])\n",
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"df"
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],
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"language": "python",
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"metadata": {},
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"outputs": [
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{
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"html": [
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"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>regiment</th>\n",
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" <th>company</th>\n",
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" <th>name</th>\n",
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" <th>preTestScore</th>\n",
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" <th>postTestScore</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0 </th>\n",
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" <td> Nighthawks</td>\n",
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" <td> 1st</td>\n",
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" <td> Miller</td>\n",
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" <td> 4</td>\n",
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" <td> 25</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1 </th>\n",
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" <td> Nighthawks</td>\n",
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" <td> 1st</td>\n",
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" <td> Jacobson</td>\n",
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" <td> 24</td>\n",
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" <td> 94</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2 </th>\n",
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" <td> Nighthawks</td>\n",
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" <td> 2nd</td>\n",
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" <td> Ali</td>\n",
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" <td> 31</td>\n",
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" <td> 57</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3 </th>\n",
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" <td> Nighthawks</td>\n",
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" <td> 2nd</td>\n",
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" <td> Milner</td>\n",
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" <td> 2</td>\n",
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" <td> 62</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4 </th>\n",
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" <td> Dragoons</td>\n",
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" <td> 1st</td>\n",
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" <td> Cooze</td>\n",
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" <td> 3</td>\n",
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" <td> 70</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>5 </th>\n",
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" <td> Dragoons</td>\n",
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" <td> 1st</td>\n",
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" <td> Jacon</td>\n",
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" <td> 4</td>\n",
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" <td> 25</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>6 </th>\n",
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" <td> Dragoons</td>\n",
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" <td> 2nd</td>\n",
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" <td> Ryaner</td>\n",
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" <td> 24</td>\n",
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" <td> 94</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>7 </th>\n",
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" <td> Dragoons</td>\n",
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" <td> 2nd</td>\n",
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" <td> Sone</td>\n",
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" <td> 31</td>\n",
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" <td> 57</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>8 </th>\n",
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" <td> Scouts</td>\n",
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" <td> 1st</td>\n",
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" <td> Sloan</td>\n",
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" <td> 2</td>\n",
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" <td> 62</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>9 </th>\n",
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" <td> Scouts</td>\n",
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" <td> 1st</td>\n",
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" <td> Piger</td>\n",
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" <td> 3</td>\n",
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" <td> 70</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>10</th>\n",
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" <td> Scouts</td>\n",
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" <td> 2nd</td>\n",
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" <td> Riani</td>\n",
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" <td> 2</td>\n",
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" <td> 62</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>11</th>\n",
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" <td> Scouts</td>\n",
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" <td> 2nd</td>\n",
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" <td> Ali</td>\n",
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" <td> 3</td>\n",
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" <td> 70</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"metadata": {},
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"output_type": "pyout",
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"prompt_number": 4,
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"text": [
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" regiment company name preTestScore postTestScore\n",
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"0 Nighthawks 1st Miller 4 25\n",
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"1 Nighthawks 1st Jacobson 24 94\n",
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"2 Nighthawks 2nd Ali 31 57\n",
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"3 Nighthawks 2nd Milner 2 62\n",
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"4 Dragoons 1st Cooze 3 70\n",
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"5 Dragoons 1st Jacon 4 25\n",
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"6 Dragoons 2nd Ryaner 24 94\n",
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"7 Dragoons 2nd Sone 31 57\n",
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"8 Scouts 1st Sloan 2 62\n",
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"9 Scouts 1st Piger 3 70\n",
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"10 Scouts 2nd Riani 2 62\n",
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"11 Scouts 2nd Ali 3 70"
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]
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}
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],
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"prompt_number": 4
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# Create a variable that drop columns with column names where the first three letters of the column names was 'pre'\n",
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"cols = [c for c in df.columns if c.lower()[:3] != 'pre']\n",
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"\n",
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"# Create a df of the columns in the variable cols\n",
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"df=df[cols]"
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],
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"language": "python",
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"metadata": {},
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"outputs": [],
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"prompt_number": 11
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"df"
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],
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"language": "python",
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"metadata": {},
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"outputs": [
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{
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"html": [
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"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>regiment</th>\n",
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" <th>company</th>\n",
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" <th>name</th>\n",
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" <th>postTestScore</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0 </th>\n",
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" <td> Nighthawks</td>\n",
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" <td> 1st</td>\n",
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" <td> Miller</td>\n",
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" <td> 25</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1 </th>\n",
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" <td> Nighthawks</td>\n",
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" <td> 1st</td>\n",
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" <td> Jacobson</td>\n",
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" <td> 94</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2 </th>\n",
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" <td> Nighthawks</td>\n",
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" <td> 2nd</td>\n",
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" <td> Ali</td>\n",
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" <td> 57</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3 </th>\n",
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" <td> Nighthawks</td>\n",
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" <td> 2nd</td>\n",
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" <td> Milner</td>\n",
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" <td> 62</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4 </th>\n",
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" <td> Dragoons</td>\n",
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" <td> 1st</td>\n",
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" <td> Cooze</td>\n",
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" <td> 70</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>5 </th>\n",
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" <td> Dragoons</td>\n",
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" <td> 1st</td>\n",
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" <td> Jacon</td>\n",
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" <td> 25</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>6 </th>\n",
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" <td> Dragoons</td>\n",
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" <td> 2nd</td>\n",
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" <td> Ryaner</td>\n",
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" <td> 94</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>7 </th>\n",
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" <td> Dragoons</td>\n",
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" <td> 2nd</td>\n",
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" <td> Sone</td>\n",
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" <td> 57</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>8 </th>\n",
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" <td> Scouts</td>\n",
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" <td> 1st</td>\n",
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" <td> Sloan</td>\n",
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" <td> 62</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>9 </th>\n",
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" <td> Scouts</td>\n",
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" <td> 1st</td>\n",
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" <td> Piger</td>\n",
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" <td> 70</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>10</th>\n",
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" <td> Scouts</td>\n",
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" <td> 2nd</td>\n",
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" <td> Riani</td>\n",
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" <td> 62</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>11</th>\n",
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" <td> Scouts</td>\n",
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" <td> 2nd</td>\n",
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" <td> Ali</td>\n",
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" <td> 70</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"metadata": {},
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"output_type": "pyout",
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"prompt_number": 12,
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"text": [
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" regiment company name postTestScore\n",
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"0 Nighthawks 1st Miller 25\n",
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"1 Nighthawks 1st Jacobson 94\n",
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"2 Nighthawks 2nd Ali 57\n",
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"3 Nighthawks 2nd Milner 62\n",
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"4 Dragoons 1st Cooze 70\n",
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"5 Dragoons 1st Jacon 25\n",
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"6 Dragoons 2nd Ryaner 94\n",
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"7 Dragoons 2nd Sone 57\n",
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"8 Scouts 1st Sloan 62\n",
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"9 Scouts 1st Piger 70\n",
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"10 Scouts 2nd Riani 62\n",
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"11 Scouts 2nd Ali 70"
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]
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}
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],
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"prompt_number": 12
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [],
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"language": "python",
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"metadata": {},
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"outputs": []
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}
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],
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"metadata": {}
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}
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]
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}

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