根據參數更改自動更新圖形

Question

我希望圖形在參數值更改或定期更新時更新。我有以下代碼：

a=0` 
b=50 
c=100 

def sine(x,y,l): 
    A=numpy.zeros(l) 
    for i in range(l): 
     A[i]=numpy.sin(2*math.pi*(i+x)/y) 
    return A 


def plot(l): 
    matplotlib.pyplot.clf() 
    matplotlib.pyplot.plot(l) 

plot(sine(a,b,c))` 

`

我如何重新運行繪圖功能，每次A/B/C被更新或定期？

Answer 1

這裏那麼幾件事情，你應該瞭解正確的使用它，而無需遍歷他們ndarrays操作numpy的ufuncs的：

https://docs.scipy.org/doc/numpy-1.12.0/reference/ufuncs.html

其次，你必須有一個地方，一個更新事件被觸發，例如：

http://openbookproject.net/thinkcs/python/english3e/events.html

由於在這段代碼中沒有這樣的例子，我只是假設你知道那裏會發生什麼。無論發生哪種情況，您都需要處理該行以更新數據。

https://matplotlib.org/api/lines_api.html#matplotlib.lines.Line2D.set_xdata https://matplotlib.org/api/lines_api.html#matplotlib.lines.Line2D.set_ydata

下面是一些例子代碼高亮我相信你正在嘗試做的：

import numpy as np 
import matplotlib.pyplot as plt 

l = 100 
x = np.linspace(0, 2 * np.pi, l) 
y = np.sin(x) 

fig, ax = plt.subplots(1, 1) # generate figure and axes objects so that we have handles for them 
curve = ax.plot(x, y)[0] # capture the handle for the lines object so we can update its data later 

# now some kind of event happens where the data is changed, and we update the plot 
y = np.cos(x) # the data is changed! 
curve.set_ydata(y) 

# necessary if you are just executing this as a script 
# this example is a little more clear if executed stepwise in ipython 
plt.show(block=True)