Matplotlib中具有独立缩放比例的多个重叠图 [英] Multiple overlapping plots with independent scaling in Matplotlib

问题描述

我目前有代码多次调用 matplotlib.pylab.plot 以在同一屏幕上显示多组数据，并且考虑到所有绘图，Matplotlib 将每个数据缩放到全局最小值和最大值.有没有办法要求它独立缩放每个图，使其达到该特定图的最小值和最大值?

I currently have code that calls matplotlib.pylab.plot multiple times to display multiple sets of data on the same screen, and Matplotlib scales each to the global min and max, considering all plots. Is there a way to ask it to scale each plot independently, to the min and max of that particular plot?

推荐答案

对此没有直接支持，但这里有一些来自 邮件列表发布，说明了两个独立的垂直轴:

There's no direct support for this, but here's some code from a mailing list posting that illlustrates two independent vertical axes:

x=arange(10)
y1=sin(x)
y2=10*cos(x)

rect=[0.1,0.1,0.8,0.8]
a1=axes(rect)
a1.yaxis.tick_left()
plot(x,y1)
ylabel('axis 1')
xlabel('x')

a2=axes(rect,frameon=False)
a2.yaxis.tick_right()
plot(x,y2)
a2.yaxis.set_label_position('right')
ylabel('axis 2')
a2.set_xticks([])

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