[英]Scroll backwards and forwards through matplotlib plots
My code produces a number of plots from data using matplotib and I would like to be able to scroll forwards and backwards through them in a live demonstration (maybe by pressing the forwards and backwards keys or using the mouse). 我的代码使用matplotib从数据中生成了许多图表,我希望能够在现场演示中向前和向后滚动它们(可能是通过按向前和向后键或使用鼠标)。 Currently I have to save each one as an image separately and then use a separate image viewer to scroll through them. 目前,我必须将每个图像单独保存为图像,然后使用单独的图像查看器滚动它们。 Is there any way of doing this entirely from within python? 有没有办法完全从python中做到这一点?
An easy way to achieve that is storing in a list a tuple of the x and y arrays and then use a handler event that picks the next (x,y) pair to be plotted: 实现这一目标的一种简单方法是在列表中存储x和y数组的元组,然后使用处理程序事件来选择要绘制的下一个(x,y)对:
import numpy as np
import matplotlib.pyplot as plt
# define your x and y arrays to be plotted
t = np.linspace(start=0, stop=2*np.pi, num=100)
y1 = np.cos(t)
y2 = np.sin(t)
y3 = np.tan(t)
plots = [(t,y1), (t,y2), (t,y3)]
# now the real code :)
curr_pos = 0
def key_event(e):
global curr_pos
if e.key == "right":
curr_pos = curr_pos + 1
elif e.key == "left":
curr_pos = curr_pos - 1
else:
return
curr_pos = curr_pos % len(plots)
ax.cla()
ax.plot(plots[curr_pos][0], plots[curr_pos][1])
fig.canvas.draw()
fig = plt.figure()
fig.canvas.mpl_connect('key_press_event', key_event)
ax = fig.add_subplot(111)
ax.plot(t,y1)
plt.show()
In this code I choose the right
and left
arrows to iterate, but you can change them. 在此代码中,我选择right
和left
箭头进行迭代,但您可以更改它们。
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