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 2016年8月10日 at 05:06 Sudheer Joseph <sud...@ya...> 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 > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users >
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 <jen...@gm...> 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 2016年8月10日 at 05:06 Sudheer Joseph <sud...@ya...> > 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 >> Mat...@li... >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> > > ------------------------------------------------------------ > ------------------ > 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 > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > >