数据可视化之matplotlib实战：plt.bar() barh()函数 绘制堆积图

import matplotlib as mpl import matplotlib.pyplot as plt import numpy as np # 防止乱码 mpl.rcParams["font.sans-serif"] = ["SimHei"] mpl.rcParams["axes.unicode_minus"] = False # 生成数据 x = [1,2,3,4,5] y1 = [6,10,4,5,1] y2 = [2,6,3,8,5] # 生成堆积柱状图 plt.bar(x,y1,align="center",color="#66c2a5",tick_label=["A","B","C","D","E"],label="班级A") plt.bar(x,y2,align="center",bottom=y1,color="#8da0cb",label="班级B") # 生成堆积条形图 # plt.barh(x,y1,align="center",color="#66c2a5",tick_label=["A","B","C","D","E"],label="班级A") # plt.barh(x,y2,align="center",left=y1,color="#8da0cb",label="班级B") # 设置x,y轴标签 plt.xlabel("测试难度") plt.ylabel("试卷份数") plt.legend() plt.show()

import matplotlib as mpl import matplotlib.pyplot as plt import numpy as np # 防止乱码 mpl.rcParams["font.sans-serif"] = ["SimHei"] mpl.rcParams["axes.unicode_minus"] = False # 生成数据 x = [1,2,3,4,5] y1 = [6,10,4,5,1] y2 = [2,6,3,8,5] # 生成堆积柱状图 # plt.bar(x,y1,align="center",color="#66c2a5",tick_label=["A","B","C","D","E"],label="班级A") # plt.bar(x,y2,align="center",bottom=y1,color="#8da0cb",label="班级B") # 生成堆积条形图 plt.barh(x,y1,align="center",color="#66c2a5",tick_label=["A","B","C","D","E"],label="班级A") plt.barh(x,y2,align="center",left=y1,color="#8da0cb",label="班级B") # 设置x,y轴标签 plt.xlabel("测试难度") plt.ylabel("试卷份数") plt.legend() plt.show()