Add code for some of the examples used in the ppt
Tim Skov Jacobsen
parent
61d83feb16
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cc7c677465
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"from IPython.core.display import HTML\n",
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"\n",
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"def display_dataframes(table_list):\n",
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" return HTML('<table><tr style=\"background-color:white;\">' + \n",
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" ''.join(['<td>' + table._repr_html_() + '</td>' for table in table_list]) + \n",
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" '</tr></table>'\n",
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" )"
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]
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},
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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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"## Dataframe of rows that changed between two other dataframes"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"code_folding": [
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1,
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12,
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23,
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34
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],
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"scrolled": false
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},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<table><tr style=\"background-color:white;\"><td><div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\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>Type</th>\n",
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" <th>Profile</th>\n",
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" <th>Force[kN]</th>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>ID</th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></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>S1-12-106665</th>\n",
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" <td>P04</td>\n",
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" <td>HE200A</td>\n",
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" <td>8.2</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>S1-12-106668</th>\n",
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" <td>P01</td>\n",
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" <td>HE200A</td>\n",
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" <td>16.7</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>S1-12-106673</th>\n",
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" <td>P01</td>\n",
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" <td>HE200A</td>\n",
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" <td>16.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>S1-12-106678</th>\n",
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" <td>P01</td>\n",
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" <td>HE200A</td>\n",
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" <td>12.5</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>S1-12-106683</th>\n",
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" <td>P03</td>\n",
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" <td>HE200A</td>\n",
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" <td>7.6</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>S1-12-106685</th>\n",
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" <td>P03</td>\n",
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" <td>HE200A</td>\n",
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" <td>3.9</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>S1-12-106686</th>\n",
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" <td>P03</td>\n",
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" <td>HE200A</td>\n",
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" <td>3.1</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>S1-12-106687</th>\n",
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" <td>P03</td>\n",
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" <td>HE200A</td>\n",
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" <td>3.1</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>S1-12-106688</th>\n",
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" <td>P03</td>\n",
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" <td>HE200A</td>\n",
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" <td>6.9</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></td><td><div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\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>Type</th>\n",
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" <th>Profile</th>\n",
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" <th>Force[kN]</th>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>ID</th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></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>S1-12-106665</th>\n",
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" <td>P04</td>\n",
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" <td>HE200A</td>\n",
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" <td>8.2</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>S1-12-106668</th>\n",
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" <td>P01</td>\n",
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" <td>HE200A</td>\n",
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" <td>10.4</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>S1-12-106673</th>\n",
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" <td>P01</td>\n",
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" <td>HE200A</td>\n",
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" <td>16.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>S1-12-106678</th>\n",
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" <td>P01</td>\n",
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" <td>HE200A</td>\n",
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" <td>9.7</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>S1-12-106683</th>\n",
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" <td>P03</td>\n",
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" <td>HE200A</td>\n",
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" <td>7.6</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>S1-12-106685</th>\n",
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" <td>P03</td>\n",
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" <td>HE200A</td>\n",
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" <td>3.9</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>S1-12-106686</th>\n",
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" <td>P03</td>\n",
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" <td>HE200A</td>\n",
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" <td>3.1</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>S1-12-106687</th>\n",
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" <td>P03</td>\n",
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" <td>HE200A</td>\n",
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" <td>8.1</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>S1-12-106688</th>\n",
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" <td>P03</td>\n",
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" <td>HE200A</td>\n",
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" <td>5.2</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></td></tr></table>"
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],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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]
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},
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df = pd.DataFrame({\n",
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" 'ID': [\n",
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" 'S1-12-106665', \n",
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" 'S1-12-106668', \n",
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" 'S1-12-106673', \n",
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" 'S1-12-106678', \n",
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" 'S1-12-106683', \n",
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" 'S1-12-106685',\n",
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" 'S1-12-106686',\n",
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" 'S1-12-106687',\n",
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" 'S1-12-106688',\n",
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" ],\n",
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" 'Type': [\n",
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" 'P04',\n",
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" 'P01',\n",
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" 'P01',\n",
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" 'P01',\n",
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" 'P03',\n",
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" 'P03',\n",
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" 'P03',\n",
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" 'P03',\n",
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" 'P03',\n",
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" ],\n",
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" 'Profile': [\n",
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" 'HE200A',\n",
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" 'HE200A',\n",
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" 'HE200A',\n",
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" 'HE200A',\n",
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" 'HE200A',\n",
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" 'HE200A',\n",
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" 'HE200A',\n",
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" 'HE200A',\n",
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" 'HE200A',\n",
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" ],\n",
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" 'Force[kN]': [\n",
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" 8.2,\n",
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" 16.7,\n",
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" 16.0,\n",
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" 12.5,\n",
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" 7.6,\n",
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" 3.9,\n",
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" 3.1,\n",
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" 3.1,\n",
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" 6.9,\n",
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"\n",
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" ]\n",
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"})\n",
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"df1 = df.set_index('ID')\n",
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"\n",
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"# Copy dataframe and change some values\n",
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"df2 = df1.copy()\n",
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"df2.at['S1-12-106668', 'Force[kN]'] = 10.4\n",
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"df2.at['S1-12-106678', 'Force[kN]'] = 9.7\n",
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"df2.at['S1-12-106687', 'Force[kN]'] = 8.1\n",
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"df2.at['S1-12-106688', 'Force[kN]'] = 5.2\n",
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"\n",
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"\n",
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"\n",
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"display_dataframes([df1, df2])"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\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>Type</th>\n",
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" <th>Profile</th>\n",
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" <th>Force[kN]</th>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>ID</th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></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>S1-12-106668</th>\n",
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" <td>P01</td>\n",
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" <td>HE200A</td>\n",
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" <td>10.4</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>S1-12-106678</th>\n",
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" <td>P01</td>\n",
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" <td>HE200A</td>\n",
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" <td>9.7</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>S1-12-106687</th>\n",
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" <td>P03</td>\n",
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" <td>HE200A</td>\n",
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" <td>8.1</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>S1-12-106688</th>\n",
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" <td>P03</td>\n",
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" <td>HE200A</td>\n",
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" <td>5.2</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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"text/plain": [
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" Type Profile Force[kN]\n",
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"ID \n",
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"S1-12-106668 P01 HE200A 10.4\n",
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"S1-12-106678 P01 HE200A 9.7\n",
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"S1-12-106687 P03 HE200A 8.1\n",
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"S1-12-106688 P03 HE200A 5.2"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"# Create dataframe of rows where pile force \n",
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"# changed from df1 to df2 \n",
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"df3 = df2[df1['Force[kN]'] != df2['Force[kN]']]\n",
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"df3"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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||||
"<div>\n",
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||||
"<style scoped>\n",
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||||
" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\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>Type</th>\n",
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" <th>Profile</th>\n",
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" <th>New_Force[kN]</th>\n",
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" <th>Old_Force[kN]</th>\n",
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" <th>% change</th>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>ID</th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></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>S1-12-106668</th>\n",
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" <td>P01</td>\n",
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" <td>HE200A</td>\n",
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" <td>10.4</td>\n",
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" <td>16.7</td>\n",
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" <td>-6.93</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>S1-12-106678</th>\n",
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" <td>P01</td>\n",
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" <td>HE200A</td>\n",
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" <td>9.7</td>\n",
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" <td>12.5</td>\n",
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" <td>-3.08</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>S1-12-106687</th>\n",
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" <td>P03</td>\n",
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" <td>HE200A</td>\n",
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" <td>8.1</td>\n",
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" <td>3.1</td>\n",
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" <td>5.50</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>S1-12-106688</th>\n",
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" <td>P03</td>\n",
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" <td>HE200A</td>\n",
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" <td>5.2</td>\n",
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" <td>6.9</td>\n",
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" <td>-1.87</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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"text/plain": [
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" Type Profile New_Force[kN] Old_Force[kN] % change\n",
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"ID \n",
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"S1-12-106668 P01 HE200A 10.4 16.7 -6.93\n",
|
||||
"S1-12-106678 P01 HE200A 9.7 12.5 -3.08\n",
|
||||
"S1-12-106687 P03 HE200A 8.1 3.1 5.50\n",
|
||||
"S1-12-106688 P03 HE200A 5.2 6.9 -1.87"
|
||||
]
|
||||
},
|
||||
"execution_count": 4,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"# Rename column with new pile forces \n",
|
||||
"df3 = df3.rename(columns={'Force[kN]': 'New_Force[kN]'})\n",
|
||||
"\n",
|
||||
"# Insert column with old pile force\n",
|
||||
"df3 = df3.merge(df1[['Force[kN]']], on='ID', how='inner')\n",
|
||||
"\n",
|
||||
"# Rename column with old pile force\n",
|
||||
"df3 = df3.rename(columns={'Force[kN]': 'Old_Force[kN]'})\n",
|
||||
"\n",
|
||||
"# Rearrange columns so column with new pile force is rightmost\n",
|
||||
"# df3 = df3[['Type', 'Profile', 'Old_Force[kN]', 'New_Force[kN]']]\n",
|
||||
" \n",
|
||||
"# Add column with percentage change in pile force\n",
|
||||
"df3['% change'] = 1.1 * (df3['New_Force[kN]'] - df3['Old_Force[kN]'])\n",
|
||||
"\n",
|
||||
"df3"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 5,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def color_neg_pos(val):\n",
|
||||
" return f\"color: {'red' if val < 0 else 'blue'}\""
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 6,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<style type=\"text/css\" >\n",
|
||||
" #T_178fc528_03ec_11ea_a501_2816a853165frow0_col4 {\n",
|
||||
" color: red;\n",
|
||||
" } #T_178fc528_03ec_11ea_a501_2816a853165frow1_col4 {\n",
|
||||
" color: red;\n",
|
||||
" } #T_178fc528_03ec_11ea_a501_2816a853165frow2_col4 {\n",
|
||||
" color: blue;\n",
|
||||
" } #T_178fc528_03ec_11ea_a501_2816a853165frow3_col4 {\n",
|
||||
" color: red;\n",
|
||||
" }</style><table id=\"T_178fc528_03ec_11ea_a501_2816a853165f\" ><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >Type</th> <th class=\"col_heading level0 col1\" >Profile</th> <th class=\"col_heading level0 col2\" >New_Force[kN]</th> <th class=\"col_heading level0 col3\" >Old_Force[kN]</th> <th class=\"col_heading level0 col4\" >% change</th> </tr> <tr> <th class=\"index_name level0\" >ID</th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> <th class=\"blank\" ></th> </tr></thead><tbody>\n",
|
||||
" <tr>\n",
|
||||
" <th id=\"T_178fc528_03ec_11ea_a501_2816a853165flevel0_row0\" class=\"row_heading level0 row0\" >S1-12-106668</th>\n",
|
||||
" <td id=\"T_178fc528_03ec_11ea_a501_2816a853165frow0_col0\" class=\"data row0 col0\" >P01</td>\n",
|
||||
" <td id=\"T_178fc528_03ec_11ea_a501_2816a853165frow0_col1\" class=\"data row0 col1\" >HE200A</td>\n",
|
||||
" <td id=\"T_178fc528_03ec_11ea_a501_2816a853165frow0_col2\" class=\"data row0 col2\" >10.4</td>\n",
|
||||
" <td id=\"T_178fc528_03ec_11ea_a501_2816a853165frow0_col3\" class=\"data row0 col3\" >16.7</td>\n",
|
||||
" <td id=\"T_178fc528_03ec_11ea_a501_2816a853165frow0_col4\" class=\"data row0 col4\" >-6.93</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th id=\"T_178fc528_03ec_11ea_a501_2816a853165flevel0_row1\" class=\"row_heading level0 row1\" >S1-12-106678</th>\n",
|
||||
" <td id=\"T_178fc528_03ec_11ea_a501_2816a853165frow1_col0\" class=\"data row1 col0\" >P01</td>\n",
|
||||
" <td id=\"T_178fc528_03ec_11ea_a501_2816a853165frow1_col1\" class=\"data row1 col1\" >HE200A</td>\n",
|
||||
" <td id=\"T_178fc528_03ec_11ea_a501_2816a853165frow1_col2\" class=\"data row1 col2\" >9.7</td>\n",
|
||||
" <td id=\"T_178fc528_03ec_11ea_a501_2816a853165frow1_col3\" class=\"data row1 col3\" >12.5</td>\n",
|
||||
" <td id=\"T_178fc528_03ec_11ea_a501_2816a853165frow1_col4\" class=\"data row1 col4\" >-3.08</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th id=\"T_178fc528_03ec_11ea_a501_2816a853165flevel0_row2\" class=\"row_heading level0 row2\" >S1-12-106687</th>\n",
|
||||
" <td id=\"T_178fc528_03ec_11ea_a501_2816a853165frow2_col0\" class=\"data row2 col0\" >P03</td>\n",
|
||||
" <td id=\"T_178fc528_03ec_11ea_a501_2816a853165frow2_col1\" class=\"data row2 col1\" >HE200A</td>\n",
|
||||
" <td id=\"T_178fc528_03ec_11ea_a501_2816a853165frow2_col2\" class=\"data row2 col2\" >8.1</td>\n",
|
||||
" <td id=\"T_178fc528_03ec_11ea_a501_2816a853165frow2_col3\" class=\"data row2 col3\" >3.1</td>\n",
|
||||
" <td id=\"T_178fc528_03ec_11ea_a501_2816a853165frow2_col4\" class=\"data row2 col4\" >5.5</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th id=\"T_178fc528_03ec_11ea_a501_2816a853165flevel0_row3\" class=\"row_heading level0 row3\" >S1-12-106688</th>\n",
|
||||
" <td id=\"T_178fc528_03ec_11ea_a501_2816a853165frow3_col0\" class=\"data row3 col0\" >P03</td>\n",
|
||||
" <td id=\"T_178fc528_03ec_11ea_a501_2816a853165frow3_col1\" class=\"data row3 col1\" >HE200A</td>\n",
|
||||
" <td id=\"T_178fc528_03ec_11ea_a501_2816a853165frow3_col2\" class=\"data row3 col2\" >5.2</td>\n",
|
||||
" <td id=\"T_178fc528_03ec_11ea_a501_2816a853165frow3_col3\" class=\"data row3 col3\" >6.9</td>\n",
|
||||
" <td id=\"T_178fc528_03ec_11ea_a501_2816a853165frow3_col4\" class=\"data row3 col4\" >-1.87</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody></table>"
|
||||
],
|
||||
"text/plain": [
|
||||
"<pandas.io.formats.style.Styler at 0x24e7fa65e80>"
|
||||
]
|
||||
},
|
||||
"execution_count": 6,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"# Color changes\n",
|
||||
"df3.style.applymap(color_neg_pos, subset=['% change'])"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Customized merging of dataframes "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 9,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<table><tr style=\"background-color:white;\"><td><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>Invoice</th>\n",
|
||||
" <th>Currency</th>\n",
|
||||
" </tr>\n",
|
||||
" </thead>\n",
|
||||
" <tbody>\n",
|
||||
" <tr>\n",
|
||||
" <th>0</th>\n",
|
||||
" <td>20561</td>\n",
|
||||
" <td>EUR</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>1</th>\n",
|
||||
" <td>20562</td>\n",
|
||||
" <td>EUR</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>2</th>\n",
|
||||
" <td>20563</td>\n",
|
||||
" <td>EUR</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>3</th>\n",
|
||||
" <td>20564</td>\n",
|
||||
" <td>USD</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
"</table>\n",
|
||||
"</div></td><td><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>Ref</th>\n",
|
||||
" <th>Amount</th>\n",
|
||||
" </tr>\n",
|
||||
" </thead>\n",
|
||||
" <tbody>\n",
|
||||
" <tr>\n",
|
||||
" <th>0</th>\n",
|
||||
" <td>20561</td>\n",
|
||||
" <td>150</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>1</th>\n",
|
||||
" <td>INV20562</td>\n",
|
||||
" <td>175</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>2</th>\n",
|
||||
" <td>INV20563BG</td>\n",
|
||||
" <td>160</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>3</th>\n",
|
||||
" <td>20564</td>\n",
|
||||
" <td>180</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
"</table>\n",
|
||||
"</div></td><td><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>Invoice</th>\n",
|
||||
" <th>Currency</th>\n",
|
||||
" <th>Amount</th>\n",
|
||||
" </tr>\n",
|
||||
" </thead>\n",
|
||||
" <tbody>\n",
|
||||
" <tr>\n",
|
||||
" <th>0</th>\n",
|
||||
" <td>20561</td>\n",
|
||||
" <td>EUR</td>\n",
|
||||
" <td>150</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>1</th>\n",
|
||||
" <td>20562</td>\n",
|
||||
" <td>EUR</td>\n",
|
||||
" <td>175</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>2</th>\n",
|
||||
" <td>20563</td>\n",
|
||||
" <td>EUR</td>\n",
|
||||
" <td>160</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>3</th>\n",
|
||||
" <td>20564</td>\n",
|
||||
" <td>USD</td>\n",
|
||||
" <td>180</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
"</table>\n",
|
||||
"</div></td></tr></table>"
|
||||
],
|
||||
"text/plain": [
|
||||
"<IPython.core.display.HTML object>"
|
||||
]
|
||||
},
|
||||
"execution_count": 9,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import pandas as pd\n",
|
||||
"\n",
|
||||
"df1 = pd.DataFrame({'Invoice': ['20561', '20562', '20563', '20564'],\n",
|
||||
" 'Currency': ['EUR', 'EUR', 'EUR', 'USD']})\n",
|
||||
"df2 = pd.DataFrame({'Ref': ['20561', 'INV20562', 'INV20563BG', '20564'],\n",
|
||||
" 'Amount': ['150', '175', '160', '180'],})\n",
|
||||
"\n",
|
||||
"df3 = df2.copy()\n",
|
||||
"df3['Invoice'] = [val for idx, val in enumerate(df1['Invoice']) if val in df2['Ref'][idx]]\n",
|
||||
"df3 = df1.merge(df3[['Amount', 'Invoice']], on='Invoice')\n",
|
||||
"\n",
|
||||
"display_dataframes([df1, df2, df3])"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"The first two dataframes are merged on Invoice/Ref column. The comparison checks if the Invoice number is contained in the Ref number. Other characters than the match are allowed to be in the string."
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"hide_input": false,
|
||||
"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": "3.7.1"
|
||||
},
|
||||
"latex_envs": {
|
||||
"LaTeX_envs_menu_present": true,
|
||||
"autoclose": false,
|
||||
"autocomplete": true,
|
||||
"bibliofile": "biblio.bib",
|
||||
"cite_by": "apalike",
|
||||
"current_citInitial": 1,
|
||||
"eqLabelWithNumbers": true,
|
||||
"eqNumInitial": 1,
|
||||
"hotkeys": {
|
||||
"equation": "Ctrl-E",
|
||||
"itemize": "Ctrl-I"
|
||||
},
|
||||
"labels_anchors": false,
|
||||
"latex_user_defs": false,
|
||||
"report_style_numbering": false,
|
||||
"user_envs_cfg": false
|
||||
},
|
||||
"toc": {
|
||||
"base_numbering": 1,
|
||||
"nav_menu": {},
|
||||
"number_sections": false,
|
||||
"sideBar": true,
|
||||
"skip_h1_title": false,
|
||||
"title_cell": "Table of Contents",
|
||||
"title_sidebar": "Table of Contents",
|
||||
"toc_cell": false,
|
||||
"toc_position": {},
|
||||
"toc_section_display": true,
|
||||
"toc_window_display": false
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 2
|
||||
}
|
||||
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Load Diff
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Loading…
Reference in New Issue