数据可视化之matplotlib实战：plt.broken_barh() 绘制间断条形图

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

plt.broken_barh([(30,100),(180,50),(260,70)],(20,8),facecolors="#1f78b4")
plt.broken_barh([(60,90),(190,20),(230,30),(280,60)],(10,8),facecolors=("#7fc97f","#beaed4","#fdc086","#ffff99"))

plt.xlim(0,360)
plt.ylim(5,35)
plt.xlabel("演出时间")
plt.xticks(np.arange(0,361,60))
plt.yticks([15,25],["歌剧院A","歌剧院B"])
plt.grid(ls="-",lw=1,color="gray")
plt.title("不同地区的歌剧院演出时间比较")

plt.show()