Good morning,
I'm creating the attached plot using pcolormesh(). What I would like to
do now is draw contour lines at +/- 2.5%, which follow the grid edges.
The problem is that when I use contour(), the lines drawn do not follow
the grid edges but seem to be interpolated somehow.
Do you have an
On Tuesday, February 28, 2012, Andreas H. wrote:
> Good morning,
>
> I'm creating the attached plot using pcolormesh(). What I would like to
> do now is draw contour lines at +/- 2.5%, which follow the grid edges.
>
> The problem is that when I use contour(), the lines drawn do not follow
> the gr
On Tue, Feb 28, 2012 at 9:10 AM, Benjamin Root wrote:
> On Tuesday, February 28, 2012, Andreas H. wrote:
>>
>> Good morning,
>>
>> I'm creating the attached plot using pcolormesh(). What I would like to
>> do now is draw contour lines at +/- 2.5%, which follow the grid edges.
>>
>> The problem is
>> On Tuesday, February 28, 2012, Andreas H. wrote:
>>
>>> Good morning,
>>>
>>> I'm creating the attached plot using pcolormesh(). What I would like to
>>> do now is draw contour lines at +/- 2.5%, which follow the grid edges.
>>>
>>> The problem is that when I use contour(), the lines drawn do no
On 02/28/2012 06:28 AM, Andreas H. wrote:
>>> On Tuesday, February 28, 2012, Andreas H. wrote:
>>>
Good morning,
I'm creating the attached plot using pcolormesh(). What I would like to
do now is draw contour lines at +/- 2.5%, which follow the grid edges.
The problem i
Am 28.02.2012 18:56, schrieb Eric Firing:
> On 02/28/2012 06:28 AM, Andreas H. wrote:
On Tuesday, February 28, 2012, Andreas H. wrote:
> Good morning,
>
> I'm creating the attached plot using pcolormesh(). What I would like to
> do now is draw contour lines at +/- 2.5%, wh
On 02/28/2012 08:08 AM, Andreas H. wrote:
> Am 28.02.2012 18:56, schrieb Eric Firing:
>> On 02/28/2012 06:28 AM, Andreas H. wrote:
> On Tuesday, February 28, 2012, Andreas H. wrote:
>
>> Good morning,
>>
>> I'm creating the attached plot using pcolormesh(). What I would like to
Hello everybody
This is my first post to the list.
To the point.
I want to access the all the axes located where a mouse event occurred.
My first try is with button_release_event
The event will include inaxes, so I know the axes where the mouse event
occurred.
This is fine if at that location I
Am Di 28 Feb 2012 19:23:14 CET schrieb Eric Firing:
> On 02/28/2012 08:08 AM, Andreas H. wrote:
>> Am 28.02.2012 18:56, schrieb Eric Firing:
>>> On 02/28/2012 06:28 AM, Andreas H. wrote:
>> On Tuesday, February 28, 2012, Andreas H. wrote:
>>
>>> Good morning,
>>>
>>> I'm creatin
In article
,
William Jennings
wrote:
> Hello mat plot lib users!
> I feel quite embarrassed that I've gone through 2 days of trying to get to
> get numpy, scipy and matplotlib all to work nice with each other. I've
> scraped through forums, stackoverflow and all the links that can bide me
>
On Tue, Feb 28, 2012 at 12:45 PM, Federico Ariza
wrote:
> Hello everybody
>
> This is my first post to the list.
>
Welcome.
>
> To the point.
> I want to access the all the axes located where a mouse event occurred.
>
> My first try is with button_release_event
> The event will include inaxes,
Hi,
I have been using the event "draw_event" for a while with the old matplotlib
0.8. I have tested my program with newer versions but it seems the function
connected to "draw_event" is never called.
You can find an example of this there: https://gist.github.com/1901504
With an old version the
Hi there,
Currently i use these commands to layout and save my figures:
> figure
> ...
> gca.set_aspect('equal')
> gca.autoscale(tight=True)
> ...
> plt.savefig('fpp.png', bbox_inches='tight', pad_inches=0)
I would like to set the width of this png file, how to do that? If
savefig() does n
Hi,
Sorry for the late reply.
Tony Yu schrieb am Tue, 03. Jan 17:07:
> You can try
>
> >>> ax.set_aspect('equal')
> >>> ax.autoscale(tight=True)
>
> The order doesn't seem to matter.
That works well, thank you! :)
Kind regars, Keba.
--
On Tue, Feb 28, 2012 at 3:48 PM, Mario Fuest wrote:
> Hi there,
>
> Currently i use these commands to layout and save my figures:
>
> > figure
> > ...
> > gca.set_aspect('equal')
> > gca.autoscale(tight=True)
> > ...
> > plt.savefig('fpp.png', bbox_inches='tight', pad_inches=0)
>
> I would
I think that what you want can be achieved more simply than contouring. I've
attached a quick example of how I would do this. I'm assuming that the data
has the same form as pcolormesh, i.e, the z values are measured at grid centers
but we have coordinate of the edges. This means that we can
On Tue, Feb 28, 2012 at 4:05 PM, Antoine Sirinelli wrote:
> Hi,
>
> I have been using the event "draw_event" for a while with the old
> matplotlib 0.8. I have tested my program with newer versions but it seems
> the function connected to "draw_event" is never called.
>
> You can find an example o
> I think that what you want can be achieved more simply than contouring.
> I've attached a quick example of how I would do this. I'm assuming that
> the data has the same form as pcolormesh, i.e, the z values are measured
> at grid centers but we have coordinate of the edges. This means that we
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