我是编程的新手所以请原谅我，如果这是一个新手的错误。
我正在编写这个python脚本，我已经定义了创建分布子图的函数。
我有一个滑块小部件，供最终用户更改变量值（mu和sigma）并查看对分布的影响。这是我的代码
import numpy as np
print np.__version__
import scipy
print scipy.__version__
from scipy.stats import norm, lognorm, uniform
import matplotlib
print matplotlib.__version__
import matplotlib.pyplot as plt
from matplotlib.widgets import Slider, Button, RadioButtons, CheckButtons
#####Calculating mean and standard deviation#####
global mu_a1
mu_a1 = 1
global mu_b1
mu_b1 = 10
global mu_c1
mu_c1 = -13
global sigma_a1
sigma_a1 = 0.14
global sigma_b1
sigma_b1 = 1.16
global sigma_c1
sigma_c1 = 2.87
mu_x01 = -11
sigma_x01 = 1.9
#####_____#####
#####Generating random data#####
a1 = 0.75*mu_a1 + (1.25 - 0.75)*sigma_a1*np.random.sample(10000)
b1 = 8*mu_b1 + (12 - 8)*sigma_b1*np.random.sample(10000)
c1 = -12*mu_c1 + 2*sigma_c1*np.random.sample(10000)
x01 = (-b1 - np.sqrt(b1**2 - (4*a1*c1)))/(2*a1)
#####_____#####
#######Creating subplots & plotting distributions#####
fig = plt.figure()
plt.subplots_adjust(left=0.13,right=0.99,bottom=0.05)
def ax1():
ax1 = fig.add_subplot(331)
ax1.clear()
ax1.set_xlabel('a' , fontsize = 14)
ax1.grid(True)
[n1,bins1,patches] = ax1.hist(a1, bins=50, color = 'red',alpha = 0.5, normed = True)
return ax1
def ax2():
ax2 = fig.add_subplot(334)
ax2.clear()
ax2.set_xlabel('b' , fontsize = 14)
ax2.grid(True)
[n2,bins2,patches] = ax2.hist(b1, bins=50, color = 'red',alpha = 0.5, normed = True)
return ax2
def ax3():
ax3 = fig.add_subplot(337)
ax3.clear()
ax3.set_xlabel('c' , fontsize = 14)
ax3.grid(True)
[n3,bins3,patches] = ax3.hist(c1, bins=50, color = 'red',alpha = 0.5, normed = True)
return ax3
def ax4_ax5():
ax4 = fig.add_subplot(132)
ax4.clear()
ax4.set_xlabel('x0' , fontsize = 14)
ax4.grid(True)
[n4,bins4,patches] = ax4.hist(x01, bins=50, color = 'red',alpha = 0.5, normed = True)
ax4.axvline(np.mean(x01), color = 'black', linestyle = 'dashed', lw = 2)
ax5 = fig.add_subplot(133)
ax5.clear()
ax5.set_xlabel('x0' , fontsize = 14)
ax5.set_ylabel('CDF', fontsize = 14)
ax5.grid(True)
dx = bins4[1] - bins4[0]
CDF = np.cumsum(n4)*dx
ax5.plot(bins4[1:], CDF, color = 'red')
return ax4,ax5
#######_____#####
ax1 = ax1()
ax2 = ax2()
ax3 = ax3()
ax4, ax5 = ax4_ax5()
#####Creating Sliders#####
axcolor = 'lightgoldenrodyellow'
axmu_331 = plt.axes([0.015, 0.67, 0.07, 0.015], axisbg=axcolor)
axsigma_331 = plt.axes([0.015, 0.65, 0.07, 0.015], axisbg=axcolor)
smu_331 = Slider(axmu_331, 'M', -13.0 , 10.0, valinit = 1.0)
ssigma_331 = Slider(axsigma_331, 'SD', -3.0 , 3.0, valinit =1.0)
#####_____#####
#####Updating Sliders#####
def update_slider_331(val):
mu_a1 = smu_331.val
print mu_a1
sigma_a1 = ssigma_331.val
print sigma_a1
ax1()
ax4_ax5()
plt.draw()
smu_331.on_changed(update_slider_331)
ssigma_331.on_changed(update_slider_331)
#####_____#####
plt.show()
我希望每次更改滑块值时都会更新分布。但是，当我更改滑块值时，我收到此错误
Traceback (most recent call last):
File "C:\Program Files (x86)\python27\lib\site-packages\matplotlib\backends\backend_qt4.py", line 175, in mousePressEvent
FigureCanvasBase.button_press_event( self, x, y, button )
File "C:\Program Files (x86)\python27\lib\site-packages\matplotlib\backend_bases.py", line 1632, in button_press_event
self.callbacks.process(s, mouseevent)
File "C:\Program Files (x86)\python27\lib\site-packages\matplotlib\cbook.py", line 262, in process
proxy(*args, **kwargs)
File "C:\Program Files (x86)\python27\lib\site-packages\matplotlib\cbook.py", line 192, in __call__
return mtd(*args, **kwargs)
File "C:\Program Files (x86)\python27\lib\site-packages\matplotlib\widgets.py", line 315, in _update
self.set_val(val)
File "C:\Program Files (x86)\python27\lib\site-packages\matplotlib\widgets.py", line 327, in set_val
func(val)
File "H:/UQ&M/GUI Demos/WIP/Stack Overflow_func.py", line 118, in update_slider_331
ax1()
TypeError: 'AxesSubplot' object is not callable
我也有一个鼠标点击事件（上面的代码中未显示），我称之为＆＃39; ax＆＃39;功能，他们工作正常。想知道他们为什么不使用滑块更新功能。
提前致谢： - ）