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Thanks Tom.
Your hint led me to the following page:
https://github.com/ipython/ipython/blob/aab20bf85126f5b1da857193c446aebe6346acec/docs/source/whatsnew/version2.0.rst#other-changes
So it seems that this change is quite old, and I never noticed it before...
The suggestion on that page requires some incantation of the %config magic.
I tried this:
%config InlineBackend.print_figure_kwargs.bbox_inches = None
Which silently passes, but doesn't change the behavior.
Your rational for IPython's use of this kwarg by default is sound, and I
understand that there are valid use cases for it in some circumstances.
However, I still think this is problematic. I like MPL because you can make
a plot to your exact specifications -- but setting this kind of behavior by
default (without a well documented fix) feels a little "Microsoft
Office"-y... That being said, I really don't care all that much. IPython is
a fantastic tool. I'll just move my plotting code to a separate script and
tweak things there. (But then I won't be able to share the notebook with my
fancy plot embedded except as an external image. Can't have everything.)
I actually don't want any sort of 'tight' layout; however, just for
reference, the `tight_layout` function throws an error in my example.
Ryan
On Fri, Mar 13, 2015 at 4:03 PM, Thomas Caswell <tca...@gm...> wrote:
> This is due to the fact that by default the inline backend saves the pngs
> using `boundingbox_inches='tight'`. The design goal on the mpl side of
> this kwargs was to trim off extra whitespace, but the way it is implemented
> works just as effectively to expand to fit artists that fall outside of the
> figure. I assume the choice to make this the default in inline was to
> waste as little space as possible.
>
> A possibly more reliable method to get the same effect is to use
> `tight_layout` (see http://matplotlib.org/users/tight_layout_guide.html)
>
> There was talk of replacing that implementation with a linear constraint
> solver, but not much progress has been made in that direction (see
> https://github.com/matplotlib/matplotlib/issues/1109)
>
> Tom
>
> On Fri, Mar 13, 2015 at 3:01 PM Ryan Nelson <rne...@gm...> wrote:
>
>> I'm constructing a multi-plot figure using an IPython notebook (v3) and
>> matplotlib (v1.4.3) inline magic. I was manually setting the axes bounds,
>> and I ended up with something like the following:
>>
>> ########
>> import matplotlib.pyplot as plt
>> %matplotlib inline
>>
>> bottom = 0.12
>> top = 0.9
>> left = 0.12
>> axwidth = (1-(left*2))/3
>>
>> fig = plt.figure(figsize=(10,4))
>>
>> ax1 = fig.add_axes((left, bottom, axwidth, top))
>> ax1.set_title('Title')
>> #ax1.tick_params(labelleft=False)
>>
>> ax2 = fig.add_axes((left+axwidth, bottom, axwidth, top),
>> sharex=ax1, sharey=ax1)
>> ax2.tick_params(labelleft=False)
>>
>> ax3 = fig.add_axes((left+axwidth*2, bottom, axwidth, top),
>> sharex=ax1, sharey=ax1)
>> ax3.tick_params(labelleft=False)
>>
>> fig.savefig('junk.pdf', format='pdf')
>> fig.savefig('junk2.png')
>> #######
>>
>> Obviously, the bottom+top that I've selected is >1, so the axes should go
>> off the top of the figure. (Stupid, I know...) The axes in both the PDF and
>> PNG formatted files are clipped by the top of the figure as you would
>> expect; however, the figure that is displayed in the Notebook looks just
>> fine. In addition, if you add a title to one of the axes, the figure in
>> IPython suddenly creates more space for the text. Maybe it is rearranging
>> the axes information behind the scenes?
>>
>> I'm curious why this design decision was made. I would say this is a bug.
>> Now that I know about this behavior, I can easily fix it. But new users
>> will be baffled when their saved figure looks nothing like the displayed
>> figure in the notebook.
>>
>> Ryan
>> ------------------------------------------------------------
>> ------------------
>> 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
>>
>

This is due to the fact that by default the inline backend saves the pngs
using `boundingbox_inches='tight'`. The design goal on the mpl side of
this kwargs was to trim off extra whitespace, but the way it is implemented
works just as effectively to expand to fit artists that fall outside of the
figure. I assume the choice to make this the default in inline was to
waste as little space as possible.
A possibly more reliable method to get the same effect is to use
`tight_layout` (see http://matplotlib.org/users/tight_layout_guide.html)
There was talk of replacing that implementation with a linear constraint
solver, but not much progress has been made in that direction (see
https://github.com/matplotlib/matplotlib/issues/1109)
Tom
On Fri, Mar 13, 2015 at 3:01 PM Ryan Nelson <rne...@gm...> wrote:
> I'm constructing a multi-plot figure using an IPython notebook (v3) and
> matplotlib (v1.4.3) inline magic. I was manually setting the axes bounds,
> and I ended up with something like the following:
>
> ########
> import matplotlib.pyplot as plt
> %matplotlib inline
>
> bottom = 0.12
> top = 0.9
> left = 0.12
> axwidth = (1-(left*2))/3
>
> fig = plt.figure(figsize=(10,4))
>
> ax1 = fig.add_axes((left, bottom, axwidth, top))
> ax1.set_title('Title')
> #ax1.tick_params(labelleft=False)
>
> ax2 = fig.add_axes((left+axwidth, bottom, axwidth, top),
> sharex=ax1, sharey=ax1)
> ax2.tick_params(labelleft=False)
>
> ax3 = fig.add_axes((left+axwidth*2, bottom, axwidth, top),
> sharex=ax1, sharey=ax1)
> ax3.tick_params(labelleft=False)
>
> fig.savefig('junk.pdf', format='pdf')
> fig.savefig('junk2.png')
> #######
>
> Obviously, the bottom+top that I've selected is >1, so the axes should go
> off the top of the figure. (Stupid, I know...) The axes in both the PDF and
> PNG formatted files are clipped by the top of the figure as you would
> expect; however, the figure that is displayed in the Notebook looks just
> fine. In addition, if you add a title to one of the axes, the figure in
> IPython suddenly creates more space for the text. Maybe it is rearranging
> the axes information behind the scenes?
>
> I'm curious why this design decision was made. I would say this is a bug.
> Now that I know about this behavior, I can easily fix it. But new users
> will be baffled when their saved figure looks nothing like the displayed
> figure in the notebook.
>
> Ryan
> ------------------------------------------------------------
> ------------------
> 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
>

All the pandas plots that I've used take an axes keyword so try:
c = corrplot.Corrplot(df, ax=ax1)
or
c = corrplot.Corrplot(df, axes=ax1)
Do either of those work?
On Fri, Mar 13, 2015 at 2:04 PM, Paul Hobson <pmh...@gm...> wrote:
> What's the function signature of corrplot.CorrPlot? Hopefully you can pass
> an Axes object to it argument.
> -p
>
> On Fri, Mar 13, 2015 at 9:02 AM, Sudheer Joseph <sud...@ya...>
> wrote:
>
>> Dear Matplotlib exprets,
>> I am trying to place the corrplot in subplot environment. But not able to
>> figure out how to do it properly. Can any one advice please?
>>
>>
>> from biokit.viz import corrplot
>> df = pd.DataFrame(dict(( (k, np.random.random(10)+ord(k)-65) for k in
>> letters)))
>> df = df.corr()
>> c = corrplot.Corrplot(df)
>>
>> I wanted to make the corrplot in below 4 boxes which can come out as a
>> single figure. The above data is a test data actually I wanted use seasonal
>> data for this purpose.
>>
>> fig = plt.figure()
>> fig.subplots_adjust(left=0.2, wspace=0.6)
>> ax1 = fig.add_subplot(221)
>> ax2 = fig.add_subplot(222)
>> ax3 = fig.add_subplot(223)
>> ax4 = fig.add_subplot(224)
>>
>>
>> ***************************************************************
>> Sudheer Joseph
>> Indian National Centre for Ocean Information Services
>> Ministry of Earth Sciences, Govt. of India
>> POST BOX NO: 21, IDA Jeedeemetla P.O.
>> Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55
>> Tel:+91-40-23886047(O),Fax:+91-40-23895011(O),
>> Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile)
>> E-mail:sjo...@gm...;sud...@ya...
>> Web- http://oppamthadathil.tripod.com
>> ***************************************************************
>>
>>
>> ------------------------------------------------------------------------------
>> 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'm constructing a multi-plot figure using an IPython notebook (v3) and
matplotlib (v1.4.3) inline magic. I was manually setting the axes bounds,
and I ended up with something like the following:
########
import matplotlib.pyplot as plt
%matplotlib inline
bottom = 0.12
top = 0.9
left = 0.12
axwidth = (1-(left*2))/3
fig = plt.figure(figsize=(10,4))
ax1 = fig.add_axes((left, bottom, axwidth, top))
ax1.set_title('Title')
#ax1.tick_params(labelleft=False)
ax2 = fig.add_axes((left+axwidth, bottom, axwidth, top),
 sharex=ax1, sharey=ax1)
ax2.tick_params(labelleft=False)
ax3 = fig.add_axes((left+axwidth*2, bottom, axwidth, top),
 sharex=ax1, sharey=ax1)
ax3.tick_params(labelleft=False)
fig.savefig('junk.pdf', format='pdf')
fig.savefig('junk2.png')
#######
Obviously, the bottom+top that I've selected is >1, so the axes should go
off the top of the figure. (Stupid, I know...) The axes in both the PDF and
PNG formatted files are clipped by the top of the figure as you would
expect; however, the figure that is displayed in the Notebook looks just
fine. In addition, if you add a title to one of the axes, the figure in
IPython suddenly creates more space for the text. Maybe it is rearranging
the axes information behind the scenes?
I'm curious why this design decision was made. I would say this is a bug.
Now that I know about this behavior, I can easily fix it. But new users
will be baffled when their saved figure looks nothing like the displayed
figure in the notebook.
Ryan

What's the function signature of corrplot.CorrPlot? Hopefully you can pass
an Axes object to it argument.
-p
On Fri, Mar 13, 2015 at 9:02 AM, Sudheer Joseph <sud...@ya...>
wrote:
> Dear Matplotlib exprets,
> I am trying to place the corrplot in subplot environment. But not able to
> figure out how to do it properly. Can any one advice please?
>
>
> from biokit.viz import corrplot
> df = pd.DataFrame(dict(( (k, np.random.random(10)+ord(k)-65) for k in
> letters)))
> df = df.corr()
> c = corrplot.Corrplot(df)
>
> I wanted to make the corrplot in below 4 boxes which can come out as a
> single figure. The above data is a test data actually I wanted use seasonal
> data for this purpose.
>
> fig = plt.figure()
> fig.subplots_adjust(left=0.2, wspace=0.6)
> ax1 = fig.add_subplot(221)
> ax2 = fig.add_subplot(222)
> ax3 = fig.add_subplot(223)
> ax4 = fig.add_subplot(224)
>
>
> ***************************************************************
> Sudheer Joseph
> Indian National Centre for Ocean Information Services
> Ministry of Earth Sciences, Govt. of India
> POST BOX NO: 21, IDA Jeedeemetla P.O.
> Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55
> Tel:+91-40-23886047(O),Fax:+91-40-23895011(O),
> Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile)
> E-mail:sjo...@gm...;sud...@ya...
> Web- http://oppamthadathil.tripod.com
> ***************************************************************
>
>
> ------------------------------------------------------------------------------
> 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
>

Dear Matplotlib exprets,
I am trying to place the corrplot in subplot environment. But not able to figure out how to do it properly. Can any one advice please?
from biokit.viz import corrplot
df = pd.DataFrame(dict(( (k, np.random.random(10)+ord(k)-65) for k in letters)))
df = df.corr()
c = corrplot.Corrplot(df)
I wanted to make the corrplot in below 4 boxes which can come out as a single figure. The above data is a test data actually I wanted use seasonal data for this purpose.
fig = plt.figure()
fig.subplots_adjust(left=0.2, wspace=0.6)
ax1 = fig.add_subplot(221)
ax2 = fig.add_subplot(222)
ax3 = fig.add_subplot(223)
ax4 = fig.add_subplot(224)
***************************************************************
Sudheer Joseph 
Indian National Centre for Ocean Information Services
Ministry of Earth Sciences, Govt. of India
POST BOX NO: 21, IDA Jeedeemetla P.O.
Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55
Tel:+91-40-23886047(O),Fax:+91-40-23895011(O),
Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile)
E-mail:sjo...@gm...;sud...@ya...
Web- http://oppamthadathil.tripod.com
***************************************************************

That should probably be filed as a bug report with example code.
On Fri, Mar 13, 2015 at 5:53 AM, Marin GILLES <mrn...@gm...> wrote:
> Le 05/03/2015 17:35, Eric Firing a écrit :
>
> On 2015年03月05日 6:11 AM, Marin GILLES wrote:
>
> Hello everyone,
> After working a bit on the styles, I noticed that some parameters could
> not be modified using an rc or style file (for example, turning off the
> right, left, up or down axis). I kind of saw how to do it using the
> |Axis.spine.set_visible()| method, but it would be better to be able to
> change it in the rc.
> So I was wondering if there would be a way to add rcParameters using a
> method with an external file, or if I would have to change this in the
> mpl source?
> Maybe a method that would add rcParameters on demand...
> Thanks
>
> Marin,
>
> The sort of capability you are describing here is not possible with the
> present architecture.
>
> Eric
>
> ------------------------------------------------------------------------------
> 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 lis...@li...https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
> Hi everyone,
> I am trying to make a rcParameter to choose whether to display only the x,
> y or both grid orientations. The behaviour would be the same as the
> axes.grid axis input parameter, which can take ‘x’, ‘y’ or ‘both’ options.
> I tried adding the behaviour in the axes/_base.py file, in the grid
> function. The rcParameter is actually detected, and the functions behaves
> normally, but on the plotted figure, both grids are plotted... I was thinking
> this could be related to the pyplot wrapper generated by the
> boilerplate.py, but I really am not sure. If anyone has an idea where this
> behaviour could come from...
> Thank you
> ​
> --
> *Marin GILLES*
>
> *PhD student CNRS *
>
>
>
> * Laboratoire Interdisciplinaire Carnot de Bourgogne (ICB) UMR 6303 CNRS -
> Université de Bourgogne 9 av Alain Savary, BP 47870 21078, Dijon (France) *
> ☎ (+33)6.79.35.30.11
> ✉ mar...@u-...
>
>
> ------------------------------------------------------------------------------
> 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
>
>

Le vendredi 13 mars 2015 à 13:41 +0100, Fabrice Silva a écrit :
> Le vendredi 13 mars 2015 à 10:59 +0000, Jens Nielsen a écrit :
> > Which program is that screenshot from? It is likely due to a bug in that
> > render. Since is displays normally in the browser. The plot lines are
> > clipped behind the background but that obviously doesn't work correctly in
> > that case. Not sure what can be done with in from the matplotlib side
> 
> Seems that viewers based on librsvg (for example EOG) are not rendering
> well the clip path. It is the case with your file, where a "global" clip
> path (object p08fb201ce0) normally applies on the Line2D objects
> ("line2d_*" objects)
https://bugs.launchpad.net/ubuntu/+source/librsvg/+bug/1207538
I did not find a relative bug report upstream (in librsvg), even if
several bugs relates to clip troubles.
-- 
Fabrice Silva
Laboratoire de Mécanique et d'Acoustique UPR CNRS 7051
31 Chemin Joseph Aiguier, 13402 Marseille cedex 20
(+33)4 9116 4034 - si...@lm...

Le vendredi 13 mars 2015 à 10:59 +0000, Jens Nielsen a écrit :
> Which program is that screenshot from? It is likely due to a bug in that
> render. Since is displays normally in the browser. The plot lines are
> clipped behind the background but that obviously doesn't work correctly in
> that case. Not sure what can be done with in from the matplotlib side
Seems that viewers based on librsvg (for example EOG) are not rendering
well the clip path. It is the case with your file, where a "global" clip
path (object p08fb201ce0) normally applies on the Line2D objects
("line2d_*" objects)
-- 
Fabrice

Which program is that screenshot from? It is likely due to a bug in that
render. Since is displays normally in the browser. The plot lines are
clipped behind the background but that obviously doesn't work correctly in
that case. Not sure what can be done with in from the matplotlib side
best
Jens
fre. 13. mar. 2015 kl. 10.55 skrev liu lily <pol...@gm...>:
> OK, it seems that this is due to my picture browser application. I take a
> snapshot, as in the attachment.
>
>
>
> On Fri, Mar 13, 2015 at 11:51 AM, liu lily <pol...@gm...> wrote:
>
>> strange, it seems the pic above is normal? so I send it again
>>
>> On Fri, Mar 13, 2015 at 11:43 AM, liu lily <pol...@gm...>
>> wrote:
>>
>>> Hi, all:
>>>
>>> I try to save a graph with svg format, but the lines crosses the
>>> boundary, what is wrong with it? and how to deal with it? thanks!
>>>
>>
>>
> ------------------------------------------------------------
> ------------------
> 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
>

OK, it seems that this is due to my picture browser application. I take a
snapshot, as in the attachment.
On Fri, Mar 13, 2015 at 11:51 AM, liu lily <pol...@gm...> wrote:
> strange, it seems the pic above is normal? so I send it again
>
> On Fri, Mar 13, 2015 at 11:43 AM, liu lily <pol...@gm...> wrote:
>
>> Hi, all:
>>
>> I try to save a graph with svg format, but the lines crosses the
>> boundary, what is wrong with it? and how to deal with it? thanks!
>>
>
>

strange, it seems the pic above is normal? so I send it again
On Fri, Mar 13, 2015 at 11:43 AM, liu lily <pol...@gm...> wrote:
> Hi, all:
>
> I try to save a graph with svg format, but the lines crosses the
> boundary, what is wrong with it? and how to deal with it? thanks!
>

Hi, all:
 I try to save a graph with svg format, but the lines crosses the
boundary, what is wrong with it? and how to deal with it? thanks!

Le 05/03/2015 17:35, Eric Firing a écrit :
> On 2015年03月05日 6:11 AM, Marin GILLES wrote:
>> Hello everyone,
>> After working a bit on the styles, I noticed that some parameters could
>> not be modified using an rc or style file (for example, turning off the
>> right, left, up or down axis). I kind of saw how to do it using the
>> |Axis.spine.set_visible()| method, but it would be better to be able to
>> change it in the rc.
>> So I was wondering if there would be a way to add rcParameters using a
>> method with an external file, or if I would have to change this in the
>> mpl source?
>> Maybe a method that would add rcParameters on demand...
>> Thanks
> Marin,
>
> The sort of capability you are describing here is not possible with the
> present architecture.
>
> Eric
>
> ------------------------------------------------------------------------------
> 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
Hi everyone,
I am trying to make a rcParameter to choose whether to display only the 
x, y or both grid orientations. The behaviour would be the same as the 
axes.grid axis input parameter, which can take ‘x’, ‘y’ or ‘both’ options.
I tried adding the behaviour in the |axes/_base.py| file, in the grid 
function. The rcParameter is actually detected, and the functions 
behaves normally, but on the plotted figure, both grids are plotted... I 
was thinking this could be related to the pyplot wrapper generated by 
the boilerplate.py, but I really am not sure. If anyone has an idea 
where this behaviour could come from...
Thank you
​
-- 
*Marin GILLES*
/PhD student CNRS
/ /Laboratoire Interdisciplinaire Carnot de Bourgogne (ICB)
UMR 6303 CNRS - Université de Bourgogne
9 av Alain Savary, BP 47870
21078, Dijon (France)
/ ☎ (+33)6.79.35.30.11
✉ mar...@u-... <mailto:mar...@u-...>