[Matplotlib-users] Matplotlib Figure margin transparancy

Discussion:

Sudheer Joseph

2016-08-06 05:56:12 UTC

Dear Expert,
Recently after up-gradation of matplotlib and ubuntu 16.04 I am getting transparent figure axis when using the "linux color scheme" option in ipython qtconsole. May I know if there is a way to fix this issue?. I wanted to keep black screen as it reduces eye strain.

ipython qtconsole --matplotlib inline

If I save the image i am able to get axis properly but to see on screen as the axis is not plotted with white background the black axis line and labels are not visible. Earlier I used to get figures as attached in second figure.
Earlier Satus which I am looking for below link
https://drive.google.com/open?id=0B3heUQNme7G5ZmVlUHpRakZxUlk
Present status without boarder below link

https://drive.google.com/open?id=0B3heUQNme7G5VkhZWHhiUnpfWDg
Kindly suggest a solution
with best regards,
Sudheer

------------------------------------------------------------------------------

Sudheer Joseph

2016-08-10 04:01:04 UTC

Permalink

Hi,
I have send below query to matplotlib user group recently but did not get posted so far. Can you please tell me is there is any thin wrong with the message?
With best regards,
Sudheer

Post by Sudheer Joseph
Dear Expert,
Recently after up-gradation of matplotlib and ubuntu 16.04 I am
getting transparent figure axis when using the "linux color scheme"
option in ipython qtconsole. May I know if there is a way to fix this issue?. I
wanted to keep black screen as it reduces eye strain.
ipython qtconsole --matplotlib inline
If I save the image i am able to get axis properly but to see on screen as the
axis is not plotted with white background the black axis line and labels are not
visible. Earlier I used to get figures as attached in second figure.
Earlier Satus which I am looking for below link
https://drive.google.com/open?id=0B3heUQNme7G5ZmVlUHpRakZxUlk
Present status without boarder below link
https://drive.google.com/open?id=0B3heUQNme7G5VkhZWHhiUnpfWDg
Kindly suggest a solution
with best regards,
Sudheer

Jens Nielsen

2016-08-10 08:25:34 UTC

Permalink

At least for me gmail put your mail in the spam folder.

Anyway the inline backend is actually from in IPython/Jupyter and not in
matplotlib. I think they have changed the default a couple of times and had
the transparent as a default earlier but changed it. Looking at the current
master it looks like they are respecting the matplotlib default colors from
the matplotlib rc params. Can you please check which version on IPython and
Jupyter you are running.

You can change the matplotlib rc parameters as described in the docs
http://matplotlib.org/users/customizing.html#customizing-matplotlib but the
default ones should be white.

best
Jens

Post by Sudheer Joseph
Hi,
I have send below query to matplotlib user group recently but did not get
posted so far. Can you please tell me is there is any thin wrong with the
message?
With best regards,
Sudheer

Post by Sudheer Joseph
Dear Expert,
Recently after up-gradation of matplotlib and ubuntu

16.04 I am

Post by Sudheer Joseph
getting transparent figure axis when using the "linux color scheme"
option in ipython qtconsole. May I know if there is a way to fix this

issue?. I

Post by Sudheer Joseph
wanted to keep black screen as it reduces eye strain.
ipython qtconsole --matplotlib inline
If I save the image i am able to get axis properly but to see on screen

as the

Post by Sudheer Joseph
axis is not plotted with white background the black axis line and labels

are not

Post by Sudheer Joseph
visible. Earlier I used to get figures as attached in second figure.
Earlier Satus which I am looking for below link
https://drive.google.com/open?id=0B3heUQNme7G5ZmVlUHpRakZxUlk
Present status without boarder below link
https://drive.google.com/open?id=0B3heUQNme7G5VkhZWHhiUnpfWDg
Kindly suggest a solution
with best regards,
Sudheer

------------------------------------------------------------------------------
What NetFlow Analyzer can do for you? Monitors network bandwidth and
traffic
patterns at an interface-level. Reveals which users, apps, and protocols
are
consuming the most bandwidth. Provides multi-vendor support for NetFlow,
J-Flow, sFlow and other flows. Make informed decisions using capacity
planning reports. http://sdm.link/zohodev2dev
_______________________________________________
Matplotlib-users mailing list
https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Benjamin Root

2016-08-10 14:49:08 UTC

Permalink

The other reason why this message never got posted is because this message
was sent to the now defunct mailing list hosted by sourceforge. The mailing
list moved about a year ago (I think) to python.org. You will have to
subscribe in order to post unmoderated.

https://mail.python.org/mailman/listinfo/matplotlib-users

Ben Root

Post by Jens Nielsen
At least for me gmail put your mail in the spam folder.
Anyway the inline backend is actually from in IPython/Jupyter and not in
matplotlib. I think they have changed the default a couple of times and had
the transparent as a default earlier but changed it. Looking at the current
master it looks like they are respecting the matplotlib default colors
from the matplotlib rc params. Can you please check which version on
IPython and Jupyter you are running.
You can change the matplotlib rc parameters as described in the docs
http://matplotlib.org/users/customizing.html#customizing-matplotlib but
the default ones should be white.
best
Jens

Post by Sudheer Joseph
Dear Expert,
Recently after up-gradation of matplotlib and ubuntu

16.04 I am

Post by Sudheer Joseph
getting transparent figure axis when using the "linux color scheme"
option in ipython qtconsole. May I know if there is a way to fix this

issue?. I

Post by Sudheer Joseph
wanted to keep black screen as it reduces eye strain.
ipython qtconsole --matplotlib inline
If I save the image i am able to get axis properly but to see on screen

as the

Post by Sudheer Joseph
axis is not plotted with white background the black axis line and

labels are not

------------------------------------------------------------
------------------
What NetFlow Analyzer can do for you? Monitors network bandwidth and
traffic
patterns at an interface-level. Reveals which users, apps, and protocols
are
consuming the most bandwidth. Provides multi-vendor support for NetFlow,
J-Flow, sFlow and other flows. Make informed decisions using capacity
planning reports. http://sdm.link/zohodev2dev
_______________________________________________
Matplotlib-users mailing list
https://lists.sourceforge.net/lists/listinfo/matplotlib-users