On Mon, Sep 30, 2013 at 4:50 PM, KURT PETERS <petersk...@msn.com> wrote:
> That doesn't seem to fix it. What I'm expecting is at the top, 28 should
> correspond to the value -2. Instead it puts a 30 there.
> Kurt
>
>
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 np
import matplotlib.pyplot as plt
xdat=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()])
fig.tight_layout()
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