指定 matplotlib 层的顺序

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最佳答案

I don't know why zorder has that behavior and it's likely that might be a bug or, at the very least, a badly documented feature. It might be because there are already automatic references to zorder when you build a plot (like grid, axis, and so on...) and when you try to specify the zorder for elements you are somehow overlapping them. This is hypothetical in any case.

For you to solve your problem just make the differences in zorder exaggerated. For instance instead of 0,1,2, make it 0,5,10:

import matplotlib.pyplot as plt


lineWidth = 20
plt.figure()
plt.plot([0,0],[-1,1], lw=lineWidth, c='b',zorder=10)
plt.plot([-1,1],[-1,1], lw=lineWidth, c='r',zorder=5)
plt.plot([-1,1],[1,-1], lw=lineWidth, c='g',zorder=0)
plt.show()

Which results in this:

For this plot I specified the opposite order shown in your question.

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The layers are stacked from bottom to top in the same order of the corresponding calls to the plot function.

import matplotlib.pyplot as plt


lineWidth = 30
plt.figure()


plt.subplot(2, 1, 1)                               # upper plot
plt.plot([-1, 1], [-1, 1], lw=5*lineWidth, c='b')  # bottom blue
plt.plot([-1, 1], [-1, 1], lw=3*lineWidth, c='r')  # middle red
plt.plot([-1, 1], [-1, 1], lw=lineWidth, c='g')    # top green


plt.subplot(2, 1, 2)                               # lower plot
plt.plot([-1, 1], [-1, 1], lw=5*lineWidth, c='g')  # bottom green
plt.plot([-1, 1], [-1, 1], lw=3*lineWidth, c='r')  # middle red
plt.plot([-1, 1], [-1, 1], lw=lineWidth, c='b')    # top blue


plt.show()

It clearly emerges from the figure below that the plots are arranged according to the bottom first, top last rule.

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While Tonechas is correct that the default order is back to front based on the order in which plots are called, it should be noted that using other plotting tools (scatter, errorbar, etc.) the default order is not as clear cut.

import matplotlib.pyplot as plt
import numpy as np


plt.errorbar(np.arange(0,10),np.arange(5,6,0.1),color='r',lw='3')
plt.plot(np.arange(0,10),np.arange(0,10),'b', lw=3)


plt.show()