Suppose I run the following script:
import matplotlib.pyplot as plt lineWidth = 20 plt.figure() plt.plot([0,0],[-1,1], lw=lineWidth, c='b') plt.plot([-1,1],[-1,1], lw=lineWidth, c='r') plt.plot([-1,1],[1,-1], lw=lineWidth, c='g') plt.show()
This produces the following:
How can I specify the top-to-bottom order of the layers instead of having Python pick for me?
You can change the order for individual artists by setting the zorder. Any individual plot() call can set a value for the zorder of that particular item. In the fist subplot below, the lines are drawn above the patch collection from the scatter, which is the default. In the subplot below, the order is reversed.
As shown in Figure 1, there are three main layers in matplotlib architecture. From top to bottom, they are Scripting layer ( matplotlib. pyplot module), Artist layer ( matplotlib. artist module), and Backend layer ( matplotlib.
The Zorder attribute of the Matplotlib Module helps us to improve the overall representation of our plot. This property determines how close the points or plot is to the observer. The higher the value of Zorder closer the plot or points to the viewer.
Scripting Layer This is why many Matplotlib tutorials prefer to introduce from this layer. It is the easiest part to start with and use, you add up objects — e.g. line, text, rectangle- on top of the figure. Scripting layer plotting is sometimes also called procedural plotting.
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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