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‎Book1_Ch21_Python_Codes/Bk1_Ch21_01.ipynb

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‎Book1_Ch21_Python_Codes/Bk1_Ch21_02.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "b1b8d3a0-09e3-453d-8c19-4e8c60be4910",
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"metadata": {},
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"source": [
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"Chapter 21\n",
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"# 用列表构造多层行标签\n",
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"Book_1《编程不难》 | 鸢尾花书：从加减乘除到机器学习 "
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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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"id": "2691e1e9-8ffd-4689-ad39-95a3a620125f",
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"import numpy as np"
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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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"id": "4b43d5ef-a409-40c6-916e-747aa4e12c72",
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"metadata": {},
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"outputs": [],
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"source": [
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"# 创建列表、数据\n",
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"index_arrays = [['A','A','B','B','C','C','D','D'], \n",
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" range(1,9)]\n",
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"data = np.random.randint(0,9,size=(8,4))"
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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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"id": "0416f4b6-08ac-47d1-93bc-877ac55e3a46",
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"metadata": {},
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"outputs": [],
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"source": [
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"# 创建多层行索引\n",
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"row_idx = pd.MultiIndex.from_arrays(index_arrays, \n",
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" names=['I','II'])"
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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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"id": "77fa954e-adac-4675-9549-c41bd5394d23",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"\n",
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" .dataframe tbody tr th {\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></th>\n",
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" <th>X1</th>\n",
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" <th>X2</th>\n",
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" <th>X3</th>\n",
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" <th>X4</th>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>I</th>\n",
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" <th>II</th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th rowspan=\"2\" valign=\"top\">A</th>\n",
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" <th>1</th>\n",
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" <td>1</td>\n",
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" <td>2</td>\n",
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" <td>2</td>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>6</td>\n",
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" <td>3</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th rowspan=\"2\" valign=\"top\">B</th>\n",
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" <th>3</th>\n",
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" <td>8</td>\n",
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" <td>7</td>\n",
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" <td>2</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>7</td>\n",
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" <td>8</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th rowspan=\"2\" valign=\"top\">C</th>\n",
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" <th>5</th>\n",
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" <td>2</td>\n",
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" <td>2</td>\n",
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" <td>0</td>\n",
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" <td>1</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>3</td>\n",
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" <td>6</td>\n",
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" <td>4</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th rowspan=\"2\" valign=\"top\">D</th>\n",
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" <th>7</th>\n",
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" <td>7</td>\n",
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" <td>5</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>8</th>\n",
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" </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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" X1 X2 X3 X4\n",
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"I II \n",
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"A 1 1 8 2 2\n",
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" 2 6 5 2 3\n",
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"B 3 8 4 7 2\n",
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" 4 3 7 5 8\n",
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"C 5 2 2 0 1\n",
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" 6 3 6 5 4\n",
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"D 7 7 2 5 1\n",
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" 8 8 5 2 5"
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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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"# 创建DataFrame\n",
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"df = pd.DataFrame(data, \n",
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" index=row_idx, \n",
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" columns=['X1','X2','X3','X4'])\n",
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"df"
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]
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}
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],
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"metadata": {
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"language": "python",
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"name": "python3"
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