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Thank you very much for your quick answer. I am looking forward to it.



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This should be fixed in 1.4.3 (which currently has a release candidate out
and barring calamities will be released this weekend).

On Wed Feb 04 2015 at 9:44:54 AM Aston630 <gae...@gm...>
wrote:

> Hi,
>
> I recently updated Matplotlib from 1.3.1 to 1.4.2, and I observe now a bug
> that is: when I plot points, meaning 'markers', if I use markeredgewidth =
> 0, in order to remove the edge of the marker, it was working very well on
> 1.3.1 version, but now the points are just gone on the Matplotlib window!
> But hold it, when I print the figure pdf, the points are there as before...
>
> Here is the code I use :
>
> plt.setp(line, ls ="", c = color, lw = 2, marker = "o", mfc = color, ms =
> 7,
> mec = color, mew= 2)  # set properties
>
> Thank you very much for you help
>
>
>
> --
> View this message in context: http://matplotlib.1069221.n5.
> nabble.com/Marker-Edge-Width-Bug-tp44800.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
>
> ------------------------------------------------------------
> ------------------
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> your
> hub for all things parallel software development, from weekly thought
> leadership blogs to news, videos, case studies, tutorials and more. Take a
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>

Hi,

I recently updated Matplotlib from 1.3.1 to 1.4.2, and I observe now a bug
that is: when I plot points, meaning 'markers', if I use markeredgewidth =
0, in order to remove the edge of the marker, it was working very well on
1.3.1 version, but now the points are just gone on the Matplotlib window!
But hold it, when I print the figure pdf, the points are there as before...

Here is the code I use :

plt.setp(line, ls ="", c = color, lw = 2, marker = "o", mfc = color, ms = 7,
mec = color, mew= 2)  # set properties

Thank you very much for you help



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Paul Hobson wrote:

> I only have the notebook to mes around in, but the following works for me:
> 
> %matplotlib nbagg
> import matplotlib.pyplot as plt
> 
> fig, ax = plt.subplots(nrows=2, sharex=True, sharey=True)
> 
> On Tue Feb 03 2015 at 4:07:26 PM Neal Becker
> <ndb...@gm...> wrote:
> 
>> I have 2 subplots, 2 rows 1 col.  They have the same x-axis.
>>
>> I'd like to be able to zoom in on both plots together.  Using qt4agg,
>> there is a
>> zoom icon, but it seems to operated on each subplot separately.
>>

Thanks for the quick replies!  This works fine.

You can also use (
http://matplotlib.org/examples/pylab_examples/shared_axis_demo.html):

ax2 = subplot(212, sharex=ax1)


Em Tue Feb 03 2015 at 22:13:44, Paul Hobson <pmh...@gm...> escreveu:

> I only have the notebook to mes around in, but the following works for me:
>
> %matplotlib nbagg
> import matplotlib.pyplot as plt
>
> fig, ax = plt.subplots(nrows=2, sharex=True, sharey=True)
>
> On Tue Feb 03 2015 at 4:07:26 PM Neal Becker <ndb...@gm...> wrote:
>
>> I have 2 subplots, 2 rows 1 col.  They have the same x-axis.
>>
>> I'd like to be able to zoom in on both plots together.  Using qt4agg,
>> there is a
>> zoom icon, but it seems to operated on each subplot separately.
>>
>> --
>> -- Those who don't understand recursion are doomed to repeat it
>>
>>
>> ------------------------------------------------------------
>> ------------------
>> Dive into the World of Parallel Programming. The Go Parallel Website,
>> sponsored by Intel and developed in partnership with Slashdot Media, is
>> your
>> hub for all things parallel software development, from weekly thought
>> leadership blogs to news, videos, case studies, tutorials and more. Take a
>> look and join the conversation now. http://goparallel.sourceforge.net/
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
> ------------------------------------------------------------
> ------------------
> Dive into the World of Parallel Programming. The Go Parallel Website,
> sponsored by Intel and developed in partnership with Slashdot Media, is
> your
> hub for all things parallel software development, from weekly thought
> leadership blogs to news, videos, case studies, tutorials and more. Take a
> look and join the conversation now. http://goparallel.sourceforge.net/
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

I only have the notebook to mes around in, but the following works for me:

%matplotlib nbagg
import matplotlib.pyplot as plt

fig, ax = plt.subplots(nrows=2, sharex=True, sharey=True)

On Tue Feb 03 2015 at 4:07:26 PM Neal Becker <ndb...@gm...> wrote:

> I have 2 subplots, 2 rows 1 col.  They have the same x-axis.
>
> I'd like to be able to zoom in on both plots together.  Using qt4agg,
> there is a
> zoom icon, but it seems to operated on each subplot separately.
>
> --
> -- Those who don't understand recursion are doomed to repeat it
>
>
> ------------------------------------------------------------
> ------------------
> Dive into the World of Parallel Programming. The Go Parallel Website,
> sponsored by Intel and developed in partnership with Slashdot Media, is
> your
> hub for all things parallel software development, from weekly thought
> leadership blogs to news, videos, case studies, tutorials and more. Take a
> look and join the conversation now. http://goparallel.sourceforge.net/
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

I have 2 subplots, 2 rows 1 col.  They have the same x-axis.

I'd like to be able to zoom in on both plots together.  Using qt4agg, there is a 
zoom icon, but it seems to operated on each subplot separately.

-- 
-- Those who don't understand recursion are doomed to repeat it