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
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
···
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
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
···
On Wed, 10 Aug 2016 at 05:06 Sudheer Joseph <sudheer.joseph@…9…> wrote:
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
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
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
Matplotlib-users@lists.sourceforge.net
matplotlib-users List Signup and Options
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
···
On Wed, Aug 10, 2016 at 4:25 AM, Jens Nielsen <jenshnielsen@…287…> wrote:
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
On Wed, 10 Aug 2016 at 05:06 Sudheer Joseph <sudheer.joseph@…2652…> wrote:
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
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
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
Matplotlib-users@…1735…sourceforge.net
matplotlib-users List Signup and Options
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
Matplotlib-users@…1735…sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users