在地块整合限制用户的鼠标输入 - 蟒蛇(User mouse input on plot for i

我有一个分布，我希望集成了通过对分布的情节用户的鼠标点击选择一个自定义的范围。

import numpy as np
import matplotlib.pyplot as plt
from scipy import stats
from scipy.integrate import trapz

# Probability Density Function
pdf = stats.norm.pdf

#adjust the location and scale of the distribution
loc1, scale1, size1 = (20, 1.5, 500)
loc2, scale2, size2 = (28, 2.5, 500)

# Probability Density Function
pdf = stats.norm.pdf
x2 = np.concatenate([np.random.normal(loc=loc1, scale=scale1, size=size1),np.random.normal(loc=loc2, scale=scale2, size=size2)])
x_eval = np.linspace(x2.min() - 1, x2.max() + 1, 1000)
bimodal_pdf = pdf(x_eval, loc=loc1, scale=scale1) * float(size1) / x2.size + pdf(x_eval, loc=loc2, scale=scale2) * float(size2) / x2.size

plt.figure()
plt.plot(x_eval,bimodal_pdf)
plt.show()

在这一点上，我想能够选择x的下限和上限在其中Y积分将被计算。

即。

a = User mouse click x position 1
b = User mouse click x position 2

area = trapz(y[a,b], x[a:b])


print 'the area under curve between x1 and x2 = ' + str(area)

Answer 1:

如果你想一个最简单的选项，使用point1, point2 = plt.ginput(2)

point1和point2将是X，Y的元组，所以你要a, b = point1[0], point2[0]在你的榜样。

作为一个简单的例子：

import matplotlib.pyplot as plt

fig, ax = plt.subplots()
ax.set(title='Click Twice', xlabel='X', ylabel='Y')

point1, point2 = fig.ginput(2) # Or equivalently, "plt.ginput"

ax.autoscale(False)
ax.axvspan(point1[0], point2[0], color='red', alpha=0.5)
fig.canvas.draw()

plt.show()

文章来源: User mouse input on plot for integration limits - python