数据可视化之matplotlib实战：plt.bar() 绘制柱状图

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] y = [6,10,4,5,1] # 生成柱状图 """ x:柱状图中柱体标签值 y:柱状图中柱体高度 align:柱体对齐方式 color:柱体颜色 tick_label:刻度标签值 alpha:柱体的透明度 """ plt.bar(x,y,align="center",color="b",tick_label=["A","B","C","D","E"],alpha=0.6) # 设置x,y轴标签 plt.xlabel("测试难度") plt.ylabel("试卷份数") # 设置网格 plt.grid(True, axis="y",ls=":",color="r",alpha=0.3) plt.show()