230 lines
5.8 KiB
Plaintext
230 lines
5.8 KiB
Plaintext
{
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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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"The **import** keyword is used to import a library"
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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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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"6.123233995736766e-17\n"
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]
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}
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],
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"source": [
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"import math\n",
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"print(math.cos(math.pi / 2))\n"
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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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"Pandas\n",
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"======="
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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": 1,
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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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"<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>col1</th>\n",
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" <th>col2</th>\n",
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" <th>col3</th>\n",
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" <th>col4</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>line1</th>\n",
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" <td>-0.882125</td>\n",
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" <td>2.176452</td>\n",
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" <td>0.163955</td>\n",
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" <td>-0.618232</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>line2</th>\n",
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" <td>-0.721538</td>\n",
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" <td>0.035578</td>\n",
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" <td>0.180072</td>\n",
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" <td>1.015987</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>line3</th>\n",
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" <td>-1.162355</td>\n",
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" <td>0.384632</td>\n",
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" <td>-0.674092</td>\n",
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" <td>0.162693</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>line4</th>\n",
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" <td>-1.399455</td>\n",
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" <td>-0.698512</td>\n",
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" <td>0.039420</td>\n",
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" <td>0.898408</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>line5</th>\n",
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" <td>1.755342</td>\n",
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" <td>-0.073242</td>\n",
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" <td>-1.502503</td>\n",
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" <td>-0.586194</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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" col1 col2 col3 col4\n",
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"line1 -0.882125 2.176452 0.163955 -0.618232\n",
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"line2 -0.721538 0.035578 0.180072 1.015987\n",
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"line3 -1.162355 0.384632 -0.674092 0.162693\n",
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"line4 -1.399455 -0.698512 0.039420 0.898408\n",
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"line5 1.755342 -0.073242 -1.502503 -0.586194"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"import numpy\n",
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"import pandas\n",
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"rows = ['line1', 'line2', 'line3', 'line4', 'line5']\n",
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"cols = ['col1', 'col2', 'col3', 'col4']\n",
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"from IPython.display import display\n",
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"dataframe = pandas.DataFrame(numpy.random.randn(5,4), index=rows, columns=cols)\n",
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"display(dataframe)"
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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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"reorganise a **dataframe** from datas as a dictionary with tuples as keys\n",
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"-----------------------------------------------------------------------------------------------------"
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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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"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>Column 1</th>\n",
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" <th>Column 2</th>\n",
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" <th>Column 3</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>Cerise</td>\n",
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" <td>Lanister</td>\n",
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" <td>14</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>Paul</td>\n",
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" <td>Durand</td>\n",
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" <td>13</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>Pierre</td>\n",
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" <td>Dupont</td>\n",
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" <td>16</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>john</td>\n",
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" <td>Snow</td>\n",
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" <td>12</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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" Column 1 Column 2 Column 3\n",
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"0 Cerise Lanister 14\n",
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"1 Paul Durand 13\n",
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"2 Pierre Dupont 16\n",
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"3 john Snow 12"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"dico = {('john', 'Snow') : 12, ('Paul', 'Durand') : 13, (\"Pierre\", \"Dupont\") : 16, (\"Cerise\", \"Lanister\") : 14}\n",
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"import pandas\n",
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"df = pandas.Series(dico).reset_index()\n",
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"df.columns = ['Column 1', 'Column 2', 'Column 3']\n",
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"from IPython.display import display\n",
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"display(df)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.5"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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