日期：2024.03.14
内容：将matplotlib的常用方法做一个记录，方便后续查找。
from matplotlib import pyplot as plt# 设置画布大小，横坐标想分开，就要使用到子图
plt.figure(figsize=(20,8),dpi = 300)# 全局设置中文字体
plt.rcParams['font.sans-serif'] = ['Simhei']# 绘制条形图
name = ["战狼2","速度与激情8","功夫瑜伽","西游伏妖篇","变形金刚5:\n最后的骑士","!爸爸","加勒比海盗5:死无对证","金刚:岛","极限特工:终极回归","生化危终章","乘风破浪","神偷奶爸3","智取威虎山","大闹天","金刚狼3:殊死一战","蜘英雄归来","悟空传","银河护卫队2","情圣","新木乃伊"]
data = [56.01,26.94,17.53,16,49,15.45,12.96,11.8,11.61,11.28,11.12,10.49,10.3,8.75,7.55,6.99,6.88,6.86,6.58,6.23]# 一般条形图
plt.bar(range(len(name)),data,width = 0.3,label = "电影数据分布图")# 使用xticks可以将name中的内容作为横坐标
x_ticks = list(range(len(name)))
x_label = name
plt.xticks(x_ticks,x_label,rotation = 90,fontsize = 8)# 展示图例
plt.legend()# 展示数据
plt.show()
# 横着的条形图
from matplotlib import pyplot as plt# 设置画布大小，横坐标想分开，就要使用到子图
plt.figure(figsize=(20,8),dpi = 300)# 全局设置中文字体
plt.rcParams['font.sans-serif'] = ['Simhei']# plt.barh()绘制横条形图的方法
plt.barh(range(len(name)),data,height = 0.5,color = "red")
y_ticks = list(range(len(name)))
y_label = name
plt.yticks(y_ticks,y_label,fontsize = 8)# 添加网格
plt.grid(0.3)plt.show()
