It's not really clear to me what you're trying to do. But the rounding of the
axes limits is an expected behavior of matplotlib. You can set them manually if
you like. Also, I think this achieves what you want and is much simpler.
import numpy as npimport matplotlib.pyplot as
pltxdat=np.arange(1,11)simtimedata = np.array([0, 1, 5, 9, 13, 18, 21, 24, 25,
28])
idatanp = np.array([-1,0, 1, 2, 3, 2, 1, 0, -1, -2])
fig, (ax1, ax2) = plt.subplots(nrows=2, sharey=True)
ax1.plot(xdat,idatanp)ax2.plot(simtimedata, idatanp,'k--')
ax2.set_xlim([simtimedata.min(), simtimedata.max()])
REPLY:============================================================ here's what
SHOULD be happening | 0 1 5 9 13 18 21 24 25 28 3 |
x | x x | x x |
x x-1|_x__________________x_____ 1 2
3 4 5 6 7 8 9 10 How can I make that happen? Instead, MPL is
autoranging the top axis. I don't want that I just want the actual labels to
occur up there. Kurt
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