On 08/20/2010 12:18 PM, Joe Kington wrote:
> Hi,
>
> I've recently noticed that setting the y-tick locations on an image plot
> changes the y-axis limits, while changing the x-tick locations does not
> change the x-axis limits. I wouldn't have expected either to change the
> axis limits, but it seems quite inconsistent that the y-axis and x-axis
> behave differently in this situation.
>
> The axis limits are easily restored by a call to "ax.axis('image')", but
> this seems unnecessary.
>
> A very quick search of the bug tracker doesn't reveal anything matching
> this description...
>
> Is this expected behavior or a bug?
>
> As an example, setting the y-tick locations changes the y-axis limits:
> import numpy as np
> import matplotlib.pyplot as plt
>
> num = 10
> data = np.arange(num**2).reshape((num,num))
>
> fig = plt.figure()
> ax = fig.add_subplot(111)
>
> cax = ax.imshow(data)
>
> ax.set_yticks(range(num//2))
>
> fig.show()
>
> However, setting the x-tick locations does not change the axis limits...
> import numpy as np
> import matplotlib.pyplot as plt
>
> num = 10
> data = np.arange(num**2).reshape((num,num))
>
> fig = plt.figure()
> ax = fig.add_subplot(111)
>
> cax = ax.imshow(data)
>
> ax.set_xticks(range(num//2))
>
> fig.show()
>
> As a reference, I'm running matplotlib 1.0.0 with python 2.7.0 on a
> 64-bit Linux (kernel 2.6.31) machine. I can confirm this on python 2.6
> and matplotlib 0.99 as well, though.
>
> If this isn't expected behavior, I'll be glad to open a bug report.
Joe,
Thanks for the report. The fix is in svn 8652 and 8653.
Eric
>
> Thanks!
> -Joe
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