matplotlib学习笔记4.对图的填充

import numpy as np
import matplotlib.pyplot as plt
# 不用打imshow也能显示
%matplotlib inline 

• 填充面积

x = np.random.rand(10)
print(x)
# cumsum返回求和的中间计算结果
x = x.cumsum()
print(x)

[0.16291293 0.78287339 0.84420882 0.78009326 0.12563782 0.34622635
 0.29423626 0.97209634 0.11211394 0.58629993]
[0.16291293 0.94578631 1.78999513 2.57008839 2.69572621 3.04195255
 3.33618881 4.30828515 4.42039909 5.00669902]

y = np.linspace(0,10,10)
fig, ax = plt.subplots()
ax.fill_between(x,y,color='lightblue')

• 填充周围（误差范围）

x = np.linspace(0,10,200)
# 填充的上边界
y1 = 2*x + 1
# 填充的下边界
y2 = 3*x + 2
# 要绘制的图
y_mean = 0.5*x*np.cos(2*x) + 2.5*x + 1.1
fig, ax = plt.subplots()
# 填充
ax.fill_between(x,y1,y2,color='lightblue')
# 画图
ax.plot(x,y_mean)

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