When using an equidistant cylindrical projection over a selected
subregion of the globe, e.g. map =
Basemap(llcrnrlon=50,llcrnrlat=-80,urcrnrlon=300,urcrnrlat=70,projection='cyl'),
any contour plot that I try and generate (i.e. any plot generated using the
map.contour()
function) cannot plot a
2012/7/30 Benjamin Root :
>
>
> On Sunday, July 29, 2012, Vlastimil Brom wrote:
>>
>> Hi all,
>> I'd like to ask about the possibility to eventually reuse the gui of
>> pylab for showing and manipulating the plots in the custom application
>> (written in wxpython).
>> [...]
>> Thanks in advance for
On Sunday, July 29, 2012, Vlastimil Brom wrote:
> Hi all,
> I'd like to ask about the possibility to eventually reuse the gui of
> pylab for showing and manipulating the plots in the custom application
> (written in wxpython).
> Basically, I'd like to add some application specific controls to the
Hi all,
I'd like to ask about the possibility to eventually reuse the gui of
pylab for showing and manipulating the plots in the custom application
(written in wxpython).
Basically, I'd like to add some application specific controls to the
toolbar, or to place the existing gui to a custom frame, wh
On 2012/07/29 5:13 AM, Jeffrey Spencer wrote:
> Eric,
>
> Normalize appears to be working correctly and as you stated above but
> when passed into contourf appears to have inconsistent results not
> following the docstring by allowing the value to change.
>
> Quick examples:
>
> X, Y = meshgrid(ara
Phil Elson writes:
>
> I don't have a good answer to this and have had to implement such a
> thing in an outstanding pull request (in my case, I have a figure
> which has been un-pickled and needs re-attaching to pyplot).
>
> My proposed mechanism goes something like:
>
> figure = matplotlib.f
I don't have a good answer to this and have had to implement such a
thing in an outstanding pull request (in my case, I have a figure
which has been un-pickled and needs re-attaching to pyplot).
My proposed mechanism goes something like:
figure = matplotlib.figure.Figure(...)
import matplotlib.
Eric,
Normalize appears to be working correctly and as you stated above but when
passed into contourf appears to have inconsistent results not following the
docstring by allowing the value to change.
Quick examples:
X, Y = meshgrid(arange(20),arange(20))
Z = arange(20*20)
Z = Z.reshape(20,20)
no
On 2012/07/28 10:17 PM, Jeffrey Spencer wrote:
> Think I figured out an actual bug in the function: colors.Normalize().
>
> The behavior states that if vmin or vmax is passed in as None it should
> take the minimum or maximum value respectively.
>
> If only one value is passed into the function, bo
Hi,
I am writing a module which should, among other things, output images, and it
should work both in interactive mode and when imported as a script.
In order for the plotting behavior to be clean, I would like to prepare the
figure separate from pyplot. The reason for this, is that the figure
On 15/07/2012 04:04, William R. Wing (Bill Wing) wrote:
> On Jul 14, 2012, at 8:57 AM, Mark Lawrence wrote:
>
>> On 14/07/2012 13:41, William R. Wing (Bill Wing) wrote:
>>> On Jul 14, 2012, at 7:49 AM, Mark Lawrence wrote:
>>>
Sorry if I've missed this in the docs but is it possible to directl
Think I figured out an actual bug in the function: colors.Normalize().
The behavior states that if vmin or vmax is passed in as None it should
take the minimum or maximum value respectively.
If only one value is passed into the function, both values are overwritten
to the min and max instead of j
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