13.完善统计图形——向统计图形添加表格

import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np

mpl.rcParams["font.sans-serif"]=["FangSong"]
mpl.rcParams["axes.unicode_minus"]=False

labels = "A难度水平","B难度水平","C难度水平","D难度水平"

students = [0.35,0.15,0.20,0.30]

explode = (0.1,0.1,0.1,0.1)

colors = ["#377eb8","#e41a1c","#4daf4a","#984ea3"]

# explode pie chart

plt.pie(students,
        explode=explode,
        labels=labels,
        autopct="%1.1f%%",
        startangle=45,
        shadow=True,
        colors=colors)

plt.title("选择不同难度测试试卷的学生占比")

# add title to pie figure
colLabels = ["A难度水平","B难度水平","C难度水平","D难度水平"]
rowLabels = ["学生选择试卷人数"]
studentValues = [[350,150,200,300]]
colColors = ["#377eb8","#e41a1c","#4daf4a","#984ea3"]

plt.table(cellText=studentValues,
          cellLoc="center",
          colWidths=[0.1]*4,
          colLabels=colLabels,
          colColours=colColors,
          rowLabels=rowLabels,
          rowLoc="center",
          loc="bottom")

plt.show()

函数table()各参数含义如下
cellText：表格的数值，将源数据进行分组，每组数据放在列表里存储，所有数据再放在列表里储存。
cellLoc：表格中的数据对齐位置，可以左对齐，居中和右对齐
colWidths：表格中每列的宽度
colLabels：表格中每列的名字
colColours：表格中每列的列名称所在单元格的颜色
rowLabels：表格每行的名称
rowLoc：表格每行的行名称对齐位置，可以左对齐、居中和右对齐
loc：表格在画布中的位置