2998 lines
72 KiB
Plaintext
2998 lines
72 KiB
Plaintext
{
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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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"collapsed": true
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},
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"outputs": [],
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"source": [
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"import random\n",
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"from string import ascii_letters\n",
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"\n",
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"import pandas as pd\n",
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"\n",
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"random.seed(3.14)\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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"collapsed": false,
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"pycharm": {
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"name": "#%% md\n"
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}
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},
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"source": [
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"# 数据库风格的聚合方式"
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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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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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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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"<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>id</th>\n",
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" <th>x</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>1</td>\n",
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" <td>x1</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>2</td>\n",
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" <td>x2</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>3</td>\n",
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" <td>x3</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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" id x\n",
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"0 1 x1\n",
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"1 2 x2\n",
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"2 3 x3"
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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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"x = pd.DataFrame(\n",
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" {\n",
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" \"id\": [1, 2, 3],\n",
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" \"x\": [\"x1\", \"x2\", \"x3\"],\n",
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" }\n",
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")\n",
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"x.head()"
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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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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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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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"<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>id</th>\n",
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" <th>y</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>1</td>\n",
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" <td>y1</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>2</td>\n",
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" <td>y3</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>3</td>\n",
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" <td>y4</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>3</td>\n",
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" <td>y5</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>4</td>\n",
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" <td>y6</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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" id y\n",
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"0 1 y1\n",
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"1 2 y3\n",
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"2 3 y4\n",
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"3 3 y5\n",
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"4 4 y6"
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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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"\n",
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"y = pd.DataFrame(\n",
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" {\n",
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" \"id\": [1, 2, 3, 3, 4],\n",
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" \"y\": [\"y1\", \"y3\", \"y4\", \"y5\", \"y6\"],\n",
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" }\n",
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")\n",
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"y.head()"
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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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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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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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"<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>id</th>\n",
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" <th>x</th>\n",
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" <th>y</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>1</td>\n",
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" <td>x1</td>\n",
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" <td>y1</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>2</td>\n",
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" <td>x2</td>\n",
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" <td>y3</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>3</td>\n",
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" <td>x3</td>\n",
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" <td>y4</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>3</td>\n",
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" <td>x3</td>\n",
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" <td>y5</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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" id x y\n",
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"0 1 x1 y1\n",
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"1 2 x2 y3\n",
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"2 3 x3 y4\n",
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"3 3 x3 y5"
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]
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},
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"execution_count": 4,
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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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"x.merge(y, on=\"id\")"
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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": 5,
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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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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"<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>id</th>\n",
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" <th>x</th>\n",
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" <th>y</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>1</td>\n",
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" <td>x1</td>\n",
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" <td>y1</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>2</td>\n",
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" <td>x2</td>\n",
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" <td>y3</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>3</td>\n",
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" <td>x3</td>\n",
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" <td>y4</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>3</td>\n",
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" <td>x3</td>\n",
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" <td>y5</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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" id x y\n",
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"0 1 x1 y1\n",
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"1 2 x2 y3\n",
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"2 3 x3 y4\n",
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"3 3 x3 y5"
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]
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},
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"execution_count": 5,
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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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"# default join way\n",
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"x.merge(y, on=\"id\", how=\"inner\")"
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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": 6,
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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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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"<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>id</th>\n",
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" <th>x</th>\n",
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" <th>y</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>1</td>\n",
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" <td>x1</td>\n",
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" <td>y1</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>2</td>\n",
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" <td>x2</td>\n",
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" <td>y3</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>3</td>\n",
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" <td>x3</td>\n",
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" <td>y4</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>3</td>\n",
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" <td>x3</td>\n",
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" <td>y5</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>4</td>\n",
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" <td>NaN</td>\n",
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" <td>y6</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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" id x y\n",
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"0 1 x1 y1\n",
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"1 2 x2 y3\n",
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"2 3 x3 y4\n",
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"3 3 x3 y5\n",
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"4 4 NaN y6"
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]
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},
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"execution_count": 6,
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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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"x.merge(y, on=\"id\", how=\"outer\")"
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]
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},
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{
|
|
"cell_type": "code",
|
|
"execution_count": 7,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
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"name": "#%%\n"
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}
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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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"<div>\n",
|
|
"<style scoped>\n",
|
|
" .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",
|
|
" }\n",
|
|
"</style>\n",
|
|
"<table border=\"1\" class=\"dataframe\">\n",
|
|
" <thead>\n",
|
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" <tr style=\"text-align: right;\">\n",
|
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" <th></th>\n",
|
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" <th>id</th>\n",
|
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" <th>x</th>\n",
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" <th>y</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",
|
|
" <th>0</th>\n",
|
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" <td>1</td>\n",
|
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" <td>x1</td>\n",
|
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" <td>y1</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>2</td>\n",
|
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" <td>x2</td>\n",
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" <td>y3</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>3</td>\n",
|
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" <td>x3</td>\n",
|
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" <td>y4</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>3</td>\n",
|
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" <td>x3</td>\n",
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" <td>y5</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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" id x y\n",
|
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"0 1 x1 y1\n",
|
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"1 2 x2 y3\n",
|
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"2 3 x3 y4\n",
|
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"3 3 x3 y5"
|
|
]
|
|
},
|
|
"execution_count": 7,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
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"x.merge(y, on=\"id\", how=\"left\")"
|
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]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 8,
|
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"metadata": {
|
|
"collapsed": false,
|
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"pycharm": {
|
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"name": "#%%\n"
|
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}
|
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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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"<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",
|
|
" <thead>\n",
|
|
" <tr style=\"text-align: right;\">\n",
|
|
" <th></th>\n",
|
|
" <th>id</th>\n",
|
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" <th>x</th>\n",
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|
" <th>y</th>\n",
|
|
" </tr>\n",
|
|
" </thead>\n",
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" <tbody>\n",
|
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" <tr>\n",
|
|
" <th>0</th>\n",
|
|
" <td>1</td>\n",
|
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" <td>x1</td>\n",
|
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" <td>y1</td>\n",
|
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
|
|
" <td>2</td>\n",
|
|
" <td>x2</td>\n",
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|
" <td>y3</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>3</td>\n",
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" <td>x3</td>\n",
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" <td>y4</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>3</td>\n",
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" <td>x3</td>\n",
|
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" <td>y5</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>4</td>\n",
|
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" <td>NaN</td>\n",
|
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" <td>y6</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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" id x y\n",
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"0 1 x1 y1\n",
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"1 2 x2 y3\n",
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"2 3 x3 y4\n",
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"3 3 x3 y5\n",
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"4 4 NaN y6"
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]
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},
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"execution_count": 8,
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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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"x.merge(y, on=\"id\", how=\"right\")"
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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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"collapsed": false,
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"pycharm": {
|
|
"name": "#%% md\n"
|
|
}
|
|
},
|
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"source": [
|
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"#### 关联条件"
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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": 9,
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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},
|
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"outputs": [],
|
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"source": [
|
|
"x[\"uid\"] = [10, 23, 40]\n",
|
|
"x[\"gender\"] = [\"male\", \"female\", \"male\"]\n",
|
|
"\n",
|
|
"y[\"uid\"] = [10, 10, 41, 43, 23]\n",
|
|
"y[\"sex\"] = [\"male\", None, None, \"female\", \"female\"]"
|
|
]
|
|
},
|
|
{
|
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"cell_type": "code",
|
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"execution_count": 10,
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"collapsed": false,
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"name": "#%%\n"
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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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" }\n",
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" .dataframe tbody tr th {\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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|
|
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|
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|
|
" <th></th>\n",
|
|
" <th>id</th>\n",
|
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" <th>x</th>\n",
|
|
" <th>uid</th>\n",
|
|
" <th>gender</th>\n",
|
|
" </tr>\n",
|
|
" </thead>\n",
|
|
" <tbody>\n",
|
|
" <tr>\n",
|
|
" <th>0</th>\n",
|
|
" <td>1</td>\n",
|
|
" <td>x1</td>\n",
|
|
" <td>10</td>\n",
|
|
" <td>male</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>1</th>\n",
|
|
" <td>2</td>\n",
|
|
" <td>x2</td>\n",
|
|
" <td>23</td>\n",
|
|
" <td>female</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>2</th>\n",
|
|
" <td>3</td>\n",
|
|
" <td>x3</td>\n",
|
|
" <td>40</td>\n",
|
|
" <td>male</td>\n",
|
|
" </tr>\n",
|
|
" </tbody>\n",
|
|
"</table>\n",
|
|
"</div>"
|
|
],
|
|
"text/plain": [
|
|
" id x uid gender\n",
|
|
"0 1 x1 10 male\n",
|
|
"1 2 x2 23 female\n",
|
|
"2 3 x3 40 male"
|
|
]
|
|
},
|
|
"execution_count": 10,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"x.head()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 11,
|
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"metadata": {
|
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"collapsed": false,
|
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"pycharm": {
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|
"name": "#%%\n"
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}
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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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"<div>\n",
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"<style scoped>\n",
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|
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|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" </thead>\n",
|
|
" <tbody>\n",
|
|
" <tr>\n",
|
|
" <th>0</th>\n",
|
|
" <td>1</td>\n",
|
|
" <td>y1</td>\n",
|
|
" <td>10</td>\n",
|
|
" <td>male</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>1</th>\n",
|
|
" <td>2</td>\n",
|
|
" <td>y3</td>\n",
|
|
" <td>10</td>\n",
|
|
" <td>None</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>2</th>\n",
|
|
" <td>3</td>\n",
|
|
" <td>y4</td>\n",
|
|
" <td>41</td>\n",
|
|
" <td>None</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>3</th>\n",
|
|
" <td>3</td>\n",
|
|
" <td>y5</td>\n",
|
|
" <td>43</td>\n",
|
|
" <td>female</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>4</th>\n",
|
|
" <td>4</td>\n",
|
|
" <td>y6</td>\n",
|
|
" <td>23</td>\n",
|
|
" <td>female</td>\n",
|
|
" </tr>\n",
|
|
" </tbody>\n",
|
|
"</table>\n",
|
|
"</div>"
|
|
],
|
|
"text/plain": [
|
|
" id y uid sex\n",
|
|
"0 1 y1 10 male\n",
|
|
"1 2 y3 10 None\n",
|
|
"2 3 y4 41 None\n",
|
|
"3 3 y5 43 female\n",
|
|
"4 4 y6 23 female"
|
|
]
|
|
},
|
|
"execution_count": 11,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"y.head()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 12,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<div>\n",
|
|
"<style scoped>\n",
|
|
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|
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" vertical-align: middle;\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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|
|
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|
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" .dataframe thead th {\n",
|
|
" text-align: right;\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
" <th></th>\n",
|
|
" <th>id</th>\n",
|
|
" <th>x</th>\n",
|
|
" <th>uid_x</th>\n",
|
|
" <th>gender</th>\n",
|
|
" <th>y</th>\n",
|
|
" <th>uid_y</th>\n",
|
|
" <th>sex</th>\n",
|
|
" </tr>\n",
|
|
" </thead>\n",
|
|
" <tbody>\n",
|
|
" <tr>\n",
|
|
" <th>0</th>\n",
|
|
" <td>1</td>\n",
|
|
" <td>x1</td>\n",
|
|
" <td>10</td>\n",
|
|
" <td>male</td>\n",
|
|
" <td>y1</td>\n",
|
|
" <td>10</td>\n",
|
|
" <td>male</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>1</th>\n",
|
|
" <td>2</td>\n",
|
|
" <td>x2</td>\n",
|
|
" <td>23</td>\n",
|
|
" <td>female</td>\n",
|
|
" <td>y3</td>\n",
|
|
" <td>10</td>\n",
|
|
" <td>None</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>2</th>\n",
|
|
" <td>3</td>\n",
|
|
" <td>x3</td>\n",
|
|
" <td>40</td>\n",
|
|
" <td>male</td>\n",
|
|
" <td>y4</td>\n",
|
|
" <td>41</td>\n",
|
|
" <td>None</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>3</th>\n",
|
|
" <td>3</td>\n",
|
|
" <td>x3</td>\n",
|
|
" <td>40</td>\n",
|
|
" <td>male</td>\n",
|
|
" <td>y5</td>\n",
|
|
" <td>43</td>\n",
|
|
" <td>female</td>\n",
|
|
" </tr>\n",
|
|
" </tbody>\n",
|
|
"</table>\n",
|
|
"</div>"
|
|
],
|
|
"text/plain": [
|
|
" id x uid_x gender y uid_y sex\n",
|
|
"0 1 x1 10 male y1 10 male\n",
|
|
"1 2 x2 23 female y3 10 None\n",
|
|
"2 3 x3 40 male y4 41 None\n",
|
|
"3 3 x3 40 male y5 43 female"
|
|
]
|
|
},
|
|
"execution_count": 12,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"x.merge(y, on=\"id\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 13,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<div>\n",
|
|
"<style scoped>\n",
|
|
" .dataframe tbody tr th:only-of-type {\n",
|
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" 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>id</th>\n",
|
|
" <th>x</th>\n",
|
|
" <th>uid</th>\n",
|
|
" <th>gender</th>\n",
|
|
" <th>y</th>\n",
|
|
" <th>sex</th>\n",
|
|
" </tr>\n",
|
|
" </thead>\n",
|
|
" <tbody>\n",
|
|
" <tr>\n",
|
|
" <th>0</th>\n",
|
|
" <td>1</td>\n",
|
|
" <td>x1</td>\n",
|
|
" <td>10</td>\n",
|
|
" <td>male</td>\n",
|
|
" <td>y1</td>\n",
|
|
" <td>male</td>\n",
|
|
" </tr>\n",
|
|
" </tbody>\n",
|
|
"</table>\n",
|
|
"</div>"
|
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],
|
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"text/plain": [
|
|
" id x uid gender y sex\n",
|
|
"0 1 x1 10 male y1 male"
|
|
]
|
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},
|
|
"execution_count": 13,
|
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"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"x.merge(y, on=[\"id\", \"uid\"])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 14,
|
|
"metadata": {
|
|
"collapsed": false,
|
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"pycharm": {
|
|
"name": "#%%\n"
|
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}
|
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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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"<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",
|
|
"\n",
|
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" .dataframe tbody tr th {\n",
|
|
" vertical-align: top;\n",
|
|
" }\n",
|
|
"\n",
|
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" .dataframe thead th {\n",
|
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" 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>id_x</th>\n",
|
|
" <th>x</th>\n",
|
|
" <th>uid</th>\n",
|
|
" <th>gender</th>\n",
|
|
" </tr>\n",
|
|
" </thead>\n",
|
|
" <tbody>\n",
|
|
" <tr>\n",
|
|
" <th>0</th>\n",
|
|
" <td>1</td>\n",
|
|
" <td>x1</td>\n",
|
|
" <td>10</td>\n",
|
|
" <td>male</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>1</th>\n",
|
|
" <td>2</td>\n",
|
|
" <td>x2</td>\n",
|
|
" <td>23</td>\n",
|
|
" <td>female</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>2</th>\n",
|
|
" <td>3</td>\n",
|
|
" <td>x3</td>\n",
|
|
" <td>40</td>\n",
|
|
" <td>male</td>\n",
|
|
" </tr>\n",
|
|
" </tbody>\n",
|
|
"</table>\n",
|
|
"</div>"
|
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],
|
|
"text/plain": [
|
|
" id_x x uid gender\n",
|
|
"0 1 x1 10 male\n",
|
|
"1 2 x2 23 female\n",
|
|
"2 3 x3 40 male"
|
|
]
|
|
},
|
|
"execution_count": 14,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"x = x.rename(columns={\"id\": \"id_x\"})\n",
|
|
"x.head()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 15,
|
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"metadata": {
|
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"collapsed": false,
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"pycharm": {
|
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"name": "#%%\n"
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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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" 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",
|
|
" <thead>\n",
|
|
" <tr style=\"text-align: right;\">\n",
|
|
" <th></th>\n",
|
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" <th>id_x</th>\n",
|
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" <th>x</th>\n",
|
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" <th>uid_x</th>\n",
|
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" <th>gender</th>\n",
|
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" <th>id</th>\n",
|
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" <th>y</th>\n",
|
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" <th>uid_y</th>\n",
|
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" <th>sex</th>\n",
|
|
" </tr>\n",
|
|
" </thead>\n",
|
|
" <tbody>\n",
|
|
" <tr>\n",
|
|
" <th>0</th>\n",
|
|
" <td>1</td>\n",
|
|
" <td>x1</td>\n",
|
|
" <td>10</td>\n",
|
|
" <td>male</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>y1</td>\n",
|
|
" <td>10</td>\n",
|
|
" <td>male</td>\n",
|
|
" </tr>\n",
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|
" <tr>\n",
|
|
" <th>1</th>\n",
|
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" <td>2</td>\n",
|
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" <td>x2</td>\n",
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" <td>23</td>\n",
|
|
" <td>female</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>y3</td>\n",
|
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" <td>10</td>\n",
|
|
" <td>None</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
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|
" <th>2</th>\n",
|
|
" <td>3</td>\n",
|
|
" <td>x3</td>\n",
|
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" <td>40</td>\n",
|
|
" <td>male</td>\n",
|
|
" <td>3</td>\n",
|
|
" <td>y4</td>\n",
|
|
" <td>41</td>\n",
|
|
" <td>None</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>3</th>\n",
|
|
" <td>3</td>\n",
|
|
" <td>x3</td>\n",
|
|
" <td>40</td>\n",
|
|
" <td>male</td>\n",
|
|
" <td>3</td>\n",
|
|
" <td>y5</td>\n",
|
|
" <td>43</td>\n",
|
|
" <td>female</td>\n",
|
|
" </tr>\n",
|
|
" </tbody>\n",
|
|
"</table>\n",
|
|
"</div>"
|
|
],
|
|
"text/plain": [
|
|
" id_x x uid_x gender id y uid_y sex\n",
|
|
"0 1 x1 10 male 1 y1 10 male\n",
|
|
"1 2 x2 23 female 2 y3 10 None\n",
|
|
"2 3 x3 40 male 3 y4 41 None\n",
|
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"3 3 x3 40 male 3 y5 43 female"
|
|
]
|
|
},
|
|
"execution_count": 15,
|
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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": [
|
|
"x.merge(y, left_on=\"id_x\", right_on=\"id\")"
|
|
]
|
|
},
|
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{
|
|
"cell_type": "code",
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"name": "#%%\n"
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"outputs": [
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"data": {
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"<style scoped>\n",
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|
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" <td>female</td>\n",
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" <td>NaN</td>\n",
|
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" <td>NaN</td>\n",
|
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" <td>NaN</td>\n",
|
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" <td>NaN</td>\n",
|
|
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|
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" <tr>\n",
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" <th>2</th>\n",
|
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" <td>3</td>\n",
|
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|
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" <td>40</td>\n",
|
|
" <td>male</td>\n",
|
|
" <td>NaN</td>\n",
|
|
" <td>NaN</td>\n",
|
|
" <td>NaN</td>\n",
|
|
" <td>NaN</td>\n",
|
|
" </tr>\n",
|
|
" </tbody>\n",
|
|
"</table>\n",
|
|
"</div>"
|
|
],
|
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"text/plain": [
|
|
" id_x x uid_x gender id y uid_y sex\n",
|
|
"0 1 x1 10 male 1.0 y1 10.0 male\n",
|
|
"1 2 x2 23 female NaN NaN NaN NaN\n",
|
|
"2 3 x3 40 male NaN NaN NaN NaN"
|
|
]
|
|
},
|
|
"execution_count": 16,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"x.merge(y, left_on=[\"id_x\", \"gender\"], right_on=[\"id\", \"sex\"], how=\"left\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
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|
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|
|
"pycharm": {
|
|
"name": "#%% md\n"
|
|
}
|
|
},
|
|
"source": [
|
|
"### 类型不一致问题"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 17,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
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},
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"outputs": [
|
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{
|
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"data": {
|
|
"text/html": [
|
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"<div>\n",
|
|
"<style scoped>\n",
|
|
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|
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|
|
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|
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|
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|
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|
|
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|
|
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|
|
"<table border=\"1\" class=\"dataframe\">\n",
|
|
" <thead>\n",
|
|
" <tr style=\"text-align: right;\">\n",
|
|
" <th></th>\n",
|
|
" <th>a</th>\n",
|
|
" <th>b</th>\n",
|
|
" <th>datetime</th>\n",
|
|
" </tr>\n",
|
|
" </thead>\n",
|
|
" <tbody>\n",
|
|
" <tr>\n",
|
|
" <th>0</th>\n",
|
|
" <td>1</td>\n",
|
|
" <td>O</td>\n",
|
|
" <td>2021-01-01</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>1</th>\n",
|
|
" <td>3</td>\n",
|
|
" <td>L</td>\n",
|
|
" <td>2021-01-02</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>2</th>\n",
|
|
" <td>5</td>\n",
|
|
" <td>k</td>\n",
|
|
" <td>2021-01-03</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>3</th>\n",
|
|
" <td>6</td>\n",
|
|
" <td>F</td>\n",
|
|
" <td>2021-01-04</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>4</th>\n",
|
|
" <td>7</td>\n",
|
|
" <td>Z</td>\n",
|
|
" <td>2021-01-05</td>\n",
|
|
" </tr>\n",
|
|
" </tbody>\n",
|
|
"</table>\n",
|
|
"</div>"
|
|
],
|
|
"text/plain": [
|
|
" a b datetime\n",
|
|
"0 1 O 2021-01-01\n",
|
|
"1 3 L 2021-01-02\n",
|
|
"2 5 k 2021-01-03\n",
|
|
"3 6 F 2021-01-04\n",
|
|
"4 7 Z 2021-01-05"
|
|
]
|
|
},
|
|
"execution_count": 17,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"left = pd.DataFrame(\n",
|
|
" {\n",
|
|
" \"a\": [1, 3, 5, 6, 7],\n",
|
|
" \"b\": random.choices(ascii_letters, k=5),\n",
|
|
" \"datetime\": pd.date_range(\"20210101\", periods=5, freq=\"D\"),\n",
|
|
" }\n",
|
|
")\n",
|
|
"left.head()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 18,
|
|
"metadata": {
|
|
"collapsed": false,
|
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"pycharm": {
|
|
"name": "#%%\n"
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}
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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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"<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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" .dataframe thead th {\n",
|
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" 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>a</th>\n",
|
|
" <th>c</th>\n",
|
|
" <th>datetime</th>\n",
|
|
" </tr>\n",
|
|
" </thead>\n",
|
|
" <tbody>\n",
|
|
" <tr>\n",
|
|
" <th>0</th>\n",
|
|
" <td>1</td>\n",
|
|
" <td>u</td>\n",
|
|
" <td>2021-01-03</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>1</th>\n",
|
|
" <td>3</td>\n",
|
|
" <td>t</td>\n",
|
|
" <td>2021-01-04</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>2</th>\n",
|
|
" <td>5</td>\n",
|
|
" <td>V</td>\n",
|
|
" <td>2021-01-05</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>3</th>\n",
|
|
" <td>7</td>\n",
|
|
" <td>x</td>\n",
|
|
" <td>2021-01-06</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>4</th>\n",
|
|
" <td>9</td>\n",
|
|
" <td>m</td>\n",
|
|
" <td>2021-01-07</td>\n",
|
|
" </tr>\n",
|
|
" </tbody>\n",
|
|
"</table>\n",
|
|
"</div>"
|
|
],
|
|
"text/plain": [
|
|
" a c datetime\n",
|
|
"0 1 u 2021-01-03\n",
|
|
"1 3 t 2021-01-04\n",
|
|
"2 5 V 2021-01-05\n",
|
|
"3 7 x 2021-01-06\n",
|
|
"4 9 m 2021-01-07"
|
|
]
|
|
},
|
|
"execution_count": 18,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"\n",
|
|
"right = pd.DataFrame(\n",
|
|
" {\n",
|
|
" \"a\": [\"1\", \"3\", \"5\", \"7\", \"9\"],\n",
|
|
" \"c\": random.choices(ascii_letters, k=5),\n",
|
|
" \"datetime\": pd.date_range(\"20210103\", periods=5, freq=\"D\").map(lambda v: str(v.date())),\n",
|
|
" }\n",
|
|
")\n",
|
|
"right.head()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 19,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# error\n",
|
|
"# `a` in left is integer type, but in right is string.\n",
|
|
"\n",
|
|
"# left.merge(right, on=[\"a\"])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 20,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# error\n",
|
|
"# `a` in left is datetime type, but in right is string.\n",
|
|
"\n",
|
|
"# left.merge(right, on=[\"datetime\"])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 21,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# error\n",
|
|
"# the type of keys in left isn't same as the right keys.\n",
|
|
"\n",
|
|
"# left.merge(right, on=[\"a\", \"datetime\"])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 22,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<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>a</th>\n",
|
|
" <th>b</th>\n",
|
|
" <th>datetime_x</th>\n",
|
|
" <th>c</th>\n",
|
|
" <th>datetime_y</th>\n",
|
|
" </tr>\n",
|
|
" </thead>\n",
|
|
" <tbody>\n",
|
|
" <tr>\n",
|
|
" <th>0</th>\n",
|
|
" <td>1</td>\n",
|
|
" <td>O</td>\n",
|
|
" <td>2021-01-01</td>\n",
|
|
" <td>u</td>\n",
|
|
" <td>2021-01-03</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>1</th>\n",
|
|
" <td>3</td>\n",
|
|
" <td>L</td>\n",
|
|
" <td>2021-01-02</td>\n",
|
|
" <td>t</td>\n",
|
|
" <td>2021-01-04</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>2</th>\n",
|
|
" <td>5</td>\n",
|
|
" <td>k</td>\n",
|
|
" <td>2021-01-03</td>\n",
|
|
" <td>V</td>\n",
|
|
" <td>2021-01-05</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>3</th>\n",
|
|
" <td>7</td>\n",
|
|
" <td>Z</td>\n",
|
|
" <td>2021-01-05</td>\n",
|
|
" <td>x</td>\n",
|
|
" <td>2021-01-06</td>\n",
|
|
" </tr>\n",
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" <thead>\n",
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"text": [
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"/Users/Bobot/.virtualenvs/sspai-100-hours-series-python/lib/python3.10/site-packages/pandas/core/reshape/merge.py:1215: UserWarning: You are merging on int and float columns where the float values are not equal to their int representation.\n",
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"left.merge(right, on=[\"a\"], suffixes=(\"\", \"_right\"))"
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{
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"cell_type": "code",
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" <td>2021-01-03</td>\n",
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" <td>u</td>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>6</td>\n",
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" <td>F</td>\n",
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" <td>2021-01-04</td>\n",
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" <td>t</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>7</td>\n",
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" <td>Z</td>\n",
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" <td>2021-01-05</td>\n",
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" <td>V</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"text/plain": [
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" a b datetime c\n",
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"0 5 k 2021-01-03 u\n",
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"1 6 F 2021-01-04 t\n",
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"2 7 Z 2021-01-05 V"
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]
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},
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"execution_count": 31,
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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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"left.merge(right.drop(\"a\", axis=1), on=[\"datetime\"])"
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]
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},
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{
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"cell_type": "markdown",
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"pycharm": {
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"name": "#%% md\n"
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"source": [
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"## join"
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"cell_type": "code",
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"execution_count": 32,
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" <thead>\n",
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" <th>letter_left</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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" </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>1</th>\n",
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" <td>r</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>a</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>q</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>e</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>A</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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"3 q\n",
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"6 e\n",
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"7 A"
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]
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},
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"execution_count": 32,
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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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"left = pd.DataFrame(\n",
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" {\n",
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" \"id\": [1, 3, 3, 6, 7],\n",
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" \"letter_left\": random.sample(ascii_letters, k=5),\n",
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" }\n",
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").set_index(\"id\")\n",
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"left.head()"
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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": 33,
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"metadata": {
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"collapsed": false,
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"outputs": [
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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>1</td>\n",
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" <td>J</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>3</td>\n",
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" <td>v</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>5</td>\n",
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" <td>e</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>7</td>\n",
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" <td>r</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>9</td>\n",
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" <td>t</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"text/plain": [
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" id letter_right\n",
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"0 1 J\n",
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"3 7 r\n",
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"4 9 t"
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]
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},
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"execution_count": 33,
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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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"right = pd.DataFrame(\n",
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" {\n",
|
|
" \"id\": [\"1\", \"3\", \"5\", \"7\", \"9\"],\n",
|
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" \"letter_right\": random.choices(ascii_letters, k=5),\n",
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" }\n",
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")\n",
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"\n",
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"right.head()"
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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": 34,
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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"outputs": [
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"data": {
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"text/html": [
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"<style scoped>\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>letter_left</th>\n",
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" <th>id</th>\n",
|
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" <th>letter_right</th>\n",
|
|
" </tr>\n",
|
|
" </thead>\n",
|
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" <tbody>\n",
|
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" <tr>\n",
|
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" <th>1</th>\n",
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" <td>r</td>\n",
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" <td>3</td>\n",
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" <td>v</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>a</td>\n",
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" <td>7</td>\n",
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" <td>r</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>q</td>\n",
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" <td>r</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>e</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
|
|
" </tr>\n",
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" <tr>\n",
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" <th>7</th>\n",
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" <td>A</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
|
|
" </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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" letter_left id letter_right\n",
|
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"1 r 3 v\n",
|
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"3 a 7 r\n",
|
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"3 q 7 r\n",
|
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"6 e NaN NaN\n",
|
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"7 A NaN NaN"
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]
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},
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"execution_count": 34,
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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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"# default left join\n",
|
|
"\n",
|
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"left.join(right)"
|
|
]
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},
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{
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"cell_type": "code",
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"execution_count": 35,
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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"outputs": [
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"data": {
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"<style scoped>\n",
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"\n",
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" .dataframe thead th {\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>letter_left</th>\n",
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" <th>id</th>\n",
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" <th>letter_right</th>\n",
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" </tr>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>1</th>\n",
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