{ "cells": [ { "cell_type": "code", "execution_count": 5, "id": "a5cd4f34", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "\n", "plt.rcParams['font.sans-serif']=['SimHei']\n", "plt.rcParams['axes.unicode_minus']=False\n", "\n", "df = pd.DataFrame({'数学成绩':[60,75,88,92,10,200,85]})\n", "df.boxplot(column='数学成绩')\n", "plt.title('数学成绩绘制')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 7, "id": "7bd75102", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " 数学成绩\n", "0 60\n", "1 75\n", "2 88\n", "3 92\n", "4 61\n", "5 93\n", "6 85\n" ] } ], "source": [ "##替换异常值\n", "print(df.replace([200,10],[93,61]))" ] }, { "cell_type": "code", "execution_count": 13, "id": "6f1d4a92", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " 日期 商品 销量\n", "0 周一 苹果 10\n", "1 周一 香蕉 20\n", "2 周二 苹果 15\n", "3 周二 香蕉 25\n", "商品 苹果 香蕉\n", "日期 \n", "周一 10 20\n", "周二 15 25\n" ] } ], "source": [ "# 透视表\n", "#pandas透视表操作\n", "#第一步：先看看原始数据的样子\n", "df = pd.DataFrame(\n", "{'日期':['周一','周一','周二','周二'],\n", "'商品':['苹果','香蕉','苹果','香蕉'], \n", "'销量':[10,20,15,25]})\n", "print(df)\n", "\n", "print(df.pivot(index='日期',columns='商品',values='销量'))" ] }, { "cell_type": "code", "execution_count": 15, "id": "d1c2487a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\n", "Requirement already satisfied: seaborn in c:\\programdata\\anaconda3\\lib\\site-packages (0.11.2)\n", "Requirement already satisfied: pyecharts in c:\\programdata\\anaconda3\\lib\\site-packages (2.1.0)\n", "Requirement already satisfied: matplotlib>=2.2 in c:\\programdata\\anaconda3\\lib\\site-packages (from seaborn) (3.5.1)\n", "Requirement already satisfied: pandas>=0.23 in c:\\programdata\\anaconda3\\lib\\site-packages (from seaborn) (1.4.2)\n", "Requirement already satisfied: scipy>=1.0 in c:\\programdata\\anaconda3\\lib\\site-packages (from seaborn) (1.7.3)\n", "Requirement already satisfied: numpy>=1.15 in c:\\programdata\\anaconda3\\lib\\site-packages (from seaborn) (1.21.5)\n", "Requirement already satisfied: simplejson in c:\\programdata\\anaconda3\\lib\\site-packages (from pyecharts) (4.1.1)\n", "Requirement already satisfied: prettytable in c:\\programdata\\anaconda3\\lib\\site-packages (from pyecharts) (3.16.0)\n", "Requirement already satisfied: jinja2 in c:\\programdata\\anaconda3\\lib\\site-packages (from pyecharts) (2.11.3)\n", "Requirement already satisfied: python-dateutil>=2.7 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib>=2.2->seaborn) (2.8.2)\n", "Requirement already satisfied: cycler>=0.10 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib>=2.2->seaborn) (0.11.0)\n", "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib>=2.2->seaborn) (1.3.2)\n", "Requirement already satisfied: packaging>=20.0 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib>=2.2->seaborn) (21.3)\n", "Requirement already satisfied: pillow>=6.2.0 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib>=2.2->seaborn) (9.0.1)\n", "Requirement already satisfied: pyparsing>=2.2.1 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib>=2.2->seaborn) (3.0.4)\n", "Requirement already satisfied: fonttools>=4.22.0 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib>=2.2->seaborn) (4.25.0)\n", "Requirement already satisfied: pytz>=2020.1 in c:\\programdata\\anaconda3\\lib\\site-packages (from pandas>=0.23->seaborn) (2021.3)\n", "Requirement already satisfied: six>=1.5 in c:\\programdata\\anaconda3\\lib\\site-packages (from python-dateutil>=2.7->matplotlib>=2.2->seaborn) (1.16.0)\n", "Requirement already satisfied: MarkupSafe>=0.23 in c:\\programdata\\anaconda3\\lib\\site-packages (from jinja2->pyecharts) (2.0.1)\n", "Requirement already satisfied: wcwidth in c:\\programdata\\anaconda3\\lib\\site-packages (from prettytable->pyecharts) (0.2.5)\n" ] } ], "source": [ "#准备绘图环境\n", "!pip install seaborn pyecharts -i https://pypi.tuna.tsinghua.edu.cn/simple" ] }, { "cell_type": "code", "execution_count": 17, "id": "28554a37", "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "##\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "# -------------------- 1. 绘制单组柱形图 --------------------\n", "画布 = plt.figure()\n", "绘图区域 = 画布.add_subplot()\n", "x坐标 = np.arange(5) # x轴位置（0-4）\n", "\n", "柱高1 = np.array([10, 8, 7, 11, 13]) # 柱形高度\n", "柱宽 = 0.3 # 柱形宽度\n", "# 绘制柱形，设置x轴标签\n", "绘图区域.bar(x坐标, 柱高1, tick_label=['周一', '周二', '周三', 'D', 'E'], width=柱宽)\n", "\n", "# -------------------- 2. 绘制多组柱形图（并列） --------------------\n", "画布2 = plt.figure()\n", "绘图区域2 = 画布2.add_subplot()\n", "柱高2 = np.array([9, 6, 5, 10, 12])\n", "# 第一组柱形（默认位置）\n", "绘图区域2.bar(x坐标, 柱高1, tick_label=['A', 'B', 'C', 'D', 'E'], width=柱宽)\n", "# 第二组柱形（向右偏移柱宽，实现并列）\n", "绘图区域2.bar(x坐标 + 柱宽, 柱高2, width=柱宽)\n", "\n", "# -------------------- 3. 给柱形图添加标题（并解决中文乱码） --------------------\n", "plt.rcParams['font.sans-serif'] = ['SimHei'] # 解决中文乱码\n", "画布3 = plt.figure()\n", "绘图区域3 = 画布3.add_subplot()\n", "绘图区域3.bar(x坐标, 柱高1, tick_label=['A', 'B', 'C', 'D', 'E'], width=柱宽)\n", "绘图区域3.set_title(\"柱形图示例（单组）\") # 添加标题\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "3c9038c6", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.12" } }, "nbformat": 4, "nbformat_minor": 5 }