在pyplot中绘制大曲线后绘制负到正范围

Question

Using Python 2 open a console and type:

from matplotlib import pyplot as plt
plt.ion()
plt.plot([2457100+i for i in range(1,100,10)],[i for i in range(1,100,10)])
plt.cla()
plt.plot([-40,-20,-0,20,40],[10,2,5,4,5])

The first plot will add a +2.4571e6 to the axis to make notation easier. Oddly enough, once clearing and plotting the second curve, the axis will remain with this shifting, such that the data is properly labeled but at incredibly negative numbers (-2457140...)!

This isn't reproducible if the second plot has a positive range. My current workaround is to cla() and re-plot the sample plot again, as after another cla() the axis becomes normal. This may become too costly for me (time wise), so I'm looking for other workarounds, and to make sure it is a bug. clf() isn't an option unfortunately, I need to retain the axes.

Answer 1

Running your code in IPython 5 with matplotlib 2.0 I cannot reproduce the issue. The second plot has the correct scale after a single call to plt.cla() .