matplotlib-devel Mailing List for matplotlib

On Wed, Aug 19, 2009 at 6:52 PM, Ryan May<rm...@gm...> wrote:
> On Wed, Aug 19, 2009 at 5:35 PM, Darren Dale <dsd...@gm...> wrote:
>>
>> Ryan,
>>
>> I don't think these calls should be removed. Would you convert them to
>> asanyarray() instead? That will preserve the masked arrays.
>
> Darren,
>
> I couldn't find a case where those calls weren't already duplicated when
> set_data() was called. According to the code, np.asarray() will be called
> if ma.isMaskedArray() returns false. Am I missing something?
No, I didn't realize it was called in set_data.

On Wed, Aug 19, 2009 at 5:35 PM, Darren Dale <dsd...@gm...> wrote:
> Ryan,
>
> I don't think these calls should be removed. Would you convert them to
> asanyarray() instead? That will preserve the masked arrays.
>
Darren,
I couldn't find a case where those calls weren't already duplicated when
set_data() was called. According to the code, np.asarray() will be called
if ma.isMaskedArray() returns false. Am I missing something?
Ryan
-- 
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma

Ryan,
I don't think these calls should be removed. Would you convert them to
asanyarray() instead? That will preserve the masked arrays.
Darren
> Log Message:
> -----------
> Remove calls to np.asarray(). This was breaking the use of masked arrays in calls to set_[x|y]data() and is handled appropriately already by set_data().
>
> Modified Paths:
> --------------
>  branches/v0_99_maint/lib/matplotlib/lines.py
>
> Modified: branches/v0_99_maint/lib/matplotlib/lines.py
> ===================================================================
> --- branches/v0_99_maint/lib/matplotlib/lines.py    2009年08月18日 22:18:59 UTC (rev 7505)
> +++ branches/v0_99_maint/lib/matplotlib/lines.py    2009年08月19日 07:56:33 UTC (rev 7506)
> @@ -843,7 +843,6 @@
>
>     ACCEPTS: 1D array
>     """
> -    x = np.asarray(x)
>     self.set_data(x, self._yorig)
>
>   def set_ydata(self, y):
> @@ -852,7 +851,6 @@
>
>     ACCEPTS: 1D array
>     """
> -    y = np.asarray(y)
>     self.set_data(self._xorig, y)
>
>   def set_dashes(self, seq):
>
>
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