default cmap in ver. 2.0

Hi all,

I just installed matplotlib 2.0. I was surprised that when I created an
image plot using imshow I had the same old jet colormap instead of
viridis. I looked in my ~/.confg/matplotlib/matplotlibrc file and the
image.cmap line was commented out, so that didn't seem to be the problem.
Just to be sure, I moved that one aside and copied the new one under the
matplotlib distribution to its place (which also has that line commented
out). I still get the same result. Obviously I can fix this either by
uncommenting that line or by specifying the cmap in calls to imshow. But
I'm curious, where are those defaults stored?

Regards,
Jon

···

--
________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
jslavin at cfa.harvard.edu 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
cell: (781) 363-0035 USA
________________________________________________________
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/matplotlib-users/attachments/20170119/34ac2049/attachment.html>

in situations like this, the most common reason is that you aren't actually
loading the matplotlib you think you are running. I would double-check by
doing:

import matplotlib
print(matplotlib.__version__)

Another trick I use is to type: "pydoc matplotlib" and see what it picked
up.

Ben Root

···

On Thu, Jan 19, 2017 at 4:05 PM, Slavin, Jonathan <jslavin at cfa.harvard.edu> wrote:

Hi all,

I just installed matplotlib 2.0. I was surprised that when I created an
image plot using imshow I had the same old jet colormap instead of
viridis. I looked in my ~/.confg/matplotlib/matplotlibrc file and the
image.cmap line was commented out, so that didn't seem to be the problem.
Just to be sure, I moved that one aside and copied the new one under the
matplotlib distribution to its place (which also has that line commented
out). I still get the same result. Obviously I can fix this either by
uncommenting that line or by specifying the cmap in calls to imshow. But
I'm curious, where are those defaults stored?

Regards,
Jon

--
________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
jslavin at cfa.harvard.edu 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
cell: (781) 363-0035 USA
________________________________________________________

_______________________________________________
Matplotlib-users mailing list
Matplotlib-users at python.org
Matplotlib-users Info Page

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/matplotlib-users/attachments/20170119/3de83f70/attachment.html&gt;

Hi Ben,

It's definitely picking up the new matplotlib since many defaults for
plotting, e.g. the line color cycle, tick direction, are changed. It's
really just the default colormap that's apparently unchanged.

Jon

···

On Thu, Jan 19, 2017 at 4:09 PM, Benjamin Root <ben.v.root at gmail.com> wrote:

in situations like this, the most common reason is that you aren't
actually loading the matplotlib you think you are running. I would
double-check by doing:

import matplotlib
print(matplotlib.__version__)

Another trick I use is to type: "pydoc matplotlib" and see what it picked
up.

Ben Root

On Thu, Jan 19, 2017 at 4:05 PM, Slavin, Jonathan <jslavin at cfa.harvard.edu > > wrote:

Hi all,

I just installed matplotlib 2.0. I was surprised that when I created an
image plot using imshow I had the same old jet colormap instead of
viridis. I looked in my ~/.confg/matplotlib/matplotlibrc file and the
image.cmap line was commented out, so that didn't seem to be the problem.
Just to be sure, I moved that one aside and copied the new one under the
matplotlib distribution to its place (which also has that line commented
out). I still get the same result. Obviously I can fix this either by
uncommenting that line or by specifying the cmap in calls to imshow. But
I'm curious, where are those defaults stored?

Regards,
Jon

--
________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
jslavin at cfa.harvard.edu 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
cell: (781) 363-0035 USA
________________________________________________________

_______________________________________________
Matplotlib-users mailing list
Matplotlib-users at python.org
Matplotlib-users Info Page

--
________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
jslavin at cfa.harvard.edu 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
cell: (781) 363-0035 USA
________________________________________________________
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/matplotlib-users/attachments/20170119/0058afba/attachment-0001.html&gt;

Ok, then try this to find out what config file is being used:

import matplotlib
print(matplotlib.matplotlib_fname())

Ben Root

···

On Thu, Jan 19, 2017 at 4:19 PM, Slavin, Jonathan <jslavin at cfa.harvard.edu> wrote:

Hi Ben,

It's definitely picking up the new matplotlib since many defaults for
plotting, e.g. the line color cycle, tick direction, are changed. It's
really just the default colormap that's apparently unchanged.

Jon

On Thu, Jan 19, 2017 at 4:09 PM, Benjamin Root <ben.v.root at gmail.com> > wrote:

in situations like this, the most common reason is that you aren't
actually loading the matplotlib you think you are running. I would
double-check by doing:

import matplotlib
print(matplotlib.__version__)

Another trick I use is to type: "pydoc matplotlib" and see what it picked
up.

Ben Root

On Thu, Jan 19, 2017 at 4:05 PM, Slavin, Jonathan < >> jslavin at cfa.harvard.edu> wrote:

Hi all,

I just installed matplotlib 2.0. I was surprised that when I created an
image plot using imshow I had the same old jet colormap instead of
viridis. I looked in my ~/.confg/matplotlib/matplotlibrc file and the
image.cmap line was commented out, so that didn't seem to be the problem.
Just to be sure, I moved that one aside and copied the new one under the
matplotlib distribution to its place (which also has that line commented
out). I still get the same result. Obviously I can fix this either by
uncommenting that line or by specifying the cmap in calls to imshow. But
I'm curious, where are those defaults stored?

Regards,
Jon

--
________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
jslavin at cfa.harvard.edu 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
cell: (781) 363-0035 USA
________________________________________________________

_______________________________________________
Matplotlib-users mailing list
Matplotlib-users at python.org
Matplotlib-users Info Page

--
________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
jslavin at cfa.harvard.edu 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
cell: (781) 363-0035 USA
________________________________________________________

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/matplotlib-users/attachments/20170119/6be78f03/attachment.html&gt;

It's showing ~/.config/matplotlib/matplotlibrc But as I said, the line
with image.cmap on it was commented out. So how are the defaults set for
things that are not changed by the matplotlibrc?

Jon

···

On Thu, Jan 19, 2017 at 4:32 PM, Benjamin Root <ben.v.root at gmail.com> wrote:

Ok, then try this to find out what config file is being used:

import matplotlib
print(matplotlib.matplotlib_fname())

Ben Root

On Thu, Jan 19, 2017 at 4:19 PM, Slavin, Jonathan <jslavin at cfa.harvard.edu > > wrote:

Hi Ben,

It's definitely picking up the new matplotlib since many defaults for
plotting, e.g. the line color cycle, tick direction, are changed. It's
really just the default colormap that's apparently unchanged.

Jon

On Thu, Jan 19, 2017 at 4:09 PM, Benjamin Root <ben.v.root at gmail.com> >> wrote:

in situations like this, the most common reason is that you aren't
actually loading the matplotlib you think you are running. I would
double-check by doing:

import matplotlib
print(matplotlib.__version__)

Another trick I use is to type: "pydoc matplotlib" and see what it
picked up.

Ben Root

On Thu, Jan 19, 2017 at 4:05 PM, Slavin, Jonathan < >>> jslavin at cfa.harvard.edu> wrote:

Hi all,

I just installed matplotlib 2.0. I was surprised that when I created
an image plot using imshow I had the same old jet colormap instead of
viridis. I looked in my ~/.confg/matplotlib/matplotlibrc file and the
image.cmap line was commented out, so that didn't seem to be the problem.
Just to be sure, I moved that one aside and copied the new one under the
matplotlib distribution to its place (which also has that line commented
out). I still get the same result. Obviously I can fix this either by
uncommenting that line or by specifying the cmap in calls to imshow. But
I'm curious, where are those defaults stored?

Regards,
Jon

--
________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
jslavin at cfa.harvard.edu 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
cell: (781) 363-0035 USA
________________________________________________________

_______________________________________________
Matplotlib-users mailing list
Matplotlib-users at python.org
Matplotlib-users Info Page

--
________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
jslavin at cfa.harvard.edu 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
cell: (781) 363-0035 USA
________________________________________________________

--
________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
jslavin at cfa.harvard.edu 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
cell: (781) 363-0035 USA
________________________________________________________
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/matplotlib-users/attachments/20170119/fab95c40/attachment-0001.html&gt;

My next step would be to prove that the config isn't affecting things by
moving it elsewhere and seeing what happens.

Ryan

···

On Thu, Jan 19, 2017 at 2:47 PM, Slavin, Jonathan <jslavin at cfa.harvard.edu> wrote:

It's showing ~/.config/matplotlib/matplotlibrc But as I said, the line
with image.cmap on it was commented out. So how are the defaults set for
things that are not changed by the matplotlibrc?

Jon

On Thu, Jan 19, 2017 at 4:32 PM, Benjamin Root <ben.v.root at gmail.com> > wrote:

Ok, then try this to find out what config file is being used:

import matplotlib
print(matplotlib.matplotlib_fname())

Ben Root

On Thu, Jan 19, 2017 at 4:19 PM, Slavin, Jonathan < >> jslavin at cfa.harvard.edu> wrote:

Hi Ben,

It's definitely picking up the new matplotlib since many defaults for
plotting, e.g. the line color cycle, tick direction, are changed. It's
really just the default colormap that's apparently unchanged.

Jon

On Thu, Jan 19, 2017 at 4:09 PM, Benjamin Root <ben.v.root at gmail.com> >>> wrote:

in situations like this, the most common reason is that you aren't
actually loading the matplotlib you think you are running. I would
double-check by doing:

import matplotlib
print(matplotlib.__version__)

Another trick I use is to type: "pydoc matplotlib" and see what it
picked up.

Ben Root

On Thu, Jan 19, 2017 at 4:05 PM, Slavin, Jonathan < >>>> jslavin at cfa.harvard.edu> wrote:

Hi all,

I just installed matplotlib 2.0. I was surprised that when I created
an image plot using imshow I had the same old jet colormap instead of
viridis. I looked in my ~/.confg/matplotlib/matplotlibrc file and
the image.cmap line was commented out, so that didn't seem to be the
problem. Just to be sure, I moved that one aside and copied the new one
under the matplotlib distribution to its place (which also has that line
commented out). I still get the same result. Obviously I can fix this
either by uncommenting that line or by specifying the cmap in calls to
imshow. But I'm curious, where are those defaults stored?

Regards,
Jon

--
________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
jslavin at cfa.harvard.edu 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
cell: (781) 363-0035 USA
________________________________________________________

_______________________________________________
Matplotlib-users mailing list
Matplotlib-users at python.org
Matplotlib-users Info Page

--
________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
jslavin at cfa.harvard.edu 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
cell: (781) 363-0035 USA
________________________________________________________

--
________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
jslavin at cfa.harvard.edu 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
cell: (781) 363-0035 USA
________________________________________________________

_______________________________________________
Matplotlib-users mailing list
Matplotlib-users at python.org
Matplotlib-users Info Page

--
Ryan May
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/matplotlib-users/attachments/20170119/974292c7/attachment.html&gt;

well, that would be matplotlib.defaultParams. It is hard-coded. It serves
as the base config, and the rc file simply updates that dictionary. Your
situation seems very weird. Can you confirm that rc['image.cmap'] is
'viridis'?

Ben Root

···

On Thu, Jan 19, 2017 at 4:47 PM, Slavin, Jonathan <jslavin at cfa.harvard.edu> wrote:

It's showing ~/.config/matplotlib/matplotlibrc But as I said, the line
with image.cmap on it was commented out. So how are the defaults set for
things that are not changed by the matplotlibrc?

Jon

On Thu, Jan 19, 2017 at 4:32 PM, Benjamin Root <ben.v.root at gmail.com> > wrote:

Ok, then try this to find out what config file is being used:

import matplotlib
print(matplotlib.matplotlib_fname())

Ben Root

On Thu, Jan 19, 2017 at 4:19 PM, Slavin, Jonathan < >> jslavin at cfa.harvard.edu> wrote:

Hi Ben,

It's definitely picking up the new matplotlib since many defaults for
plotting, e.g. the line color cycle, tick direction, are changed. It's
really just the default colormap that's apparently unchanged.

Jon

On Thu, Jan 19, 2017 at 4:09 PM, Benjamin Root <ben.v.root at gmail.com> >>> wrote:

in situations like this, the most common reason is that you aren't
actually loading the matplotlib you think you are running. I would
double-check by doing:

import matplotlib
print(matplotlib.__version__)

Another trick I use is to type: "pydoc matplotlib" and see what it
picked up.

Ben Root

On Thu, Jan 19, 2017 at 4:05 PM, Slavin, Jonathan < >>>> jslavin at cfa.harvard.edu> wrote:

Hi all,

I just installed matplotlib 2.0. I was surprised that when I created
an image plot using imshow I had the same old jet colormap instead of
viridis. I looked in my ~/.confg/matplotlib/matplotlibrc file and
the image.cmap line was commented out, so that didn't seem to be the
problem. Just to be sure, I moved that one aside and copied the new one
under the matplotlib distribution to its place (which also has that line
commented out). I still get the same result. Obviously I can fix this
either by uncommenting that line or by specifying the cmap in calls to
imshow. But I'm curious, where are those defaults stored?

Regards,
Jon

--
________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
jslavin at cfa.harvard.edu 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
cell: (781) 363-0035 USA
________________________________________________________

_______________________________________________
Matplotlib-users mailing list
Matplotlib-users at python.org
Matplotlib-users Info Page

--
________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
jslavin at cfa.harvard.edu 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
cell: (781) 363-0035 USA
________________________________________________________

--
________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
jslavin at cfa.harvard.edu 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
cell: (781) 363-0035 USA
________________________________________________________

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/matplotlib-users/attachments/20170119/02577614/attachment-0001.html&gt;

Hi,

I?ve read your talk and decided to make some test case on my computer. Just expecting to offer some more test case and information.

As for now, I find everything works fine, including the colormap for `imshow()` function. I?ve checked the rc file, that line is commented out. So its really weird of Jon's situation.

I?m using anaconda + matplotlib 2.0 on MacOS.

Weining Duan

···

On 2017?1?20? +0800 06:21, Benjamin Root <ben.v.root at gmail.com>, wrote:

well, that would be matplotlib.defaultParams. It is hard-coded. It serves as the base config, and the rc file simply updates that dictionary. Your situation seems very weird. Can you confirm that rc['image.cmap'] is 'viridis'?

Ben Root

> On Thu, Jan 19, 2017 at 4:47 PM, Slavin, Jonathan <jslavin at cfa.harvard.edu> wrote:
> > It's showing ~/.config/matplotlib/matplotlibrc ?But as I said, the line with image.cmap on it was commented out.? So how are the defaults set for things that are not changed by the matplotlibrc?
> >
> > Jon
> >
> > > On Thu, Jan 19, 2017 at 4:32 PM, Benjamin Root <ben.v.root at gmail.com> wrote:
> > > > Ok, then try this to find out what config file is being used:
> > > >
> > > > import matplotlib
> > > > print(matplotlib.matplotlib_fname())
> > > >
> > > > Ben Root
> > > >
> > > >
> > > > > On Thu, Jan 19, 2017 at 4:19 PM, Slavin, Jonathan <jslavin at cfa.harvard.edu> wrote:
> > > > > > Hi Ben,
> > > > > >
> > > > > > It's definitely picking up the new matplotlib since many defaults for plotting, e.g. the line color cycle, tick direction, are changed.? It's really just the default colormap that's apparently unchanged.
> > > > > >
> > > > > > Jon
> > > > > >
> > > > > > > On Thu, Jan 19, 2017 at 4:09 PM, Benjamin Root <ben.v.root at gmail.com> wrote:
> > > > > > > > in situations like this, the most common reason is that you aren't actually loading the matplotlib you think you are running. I would double-check by doing:
> > > > > > > >
> > > > > > > > import matplotlib
> > > > > > > > print(matplotlib.__version__)
> > > > > > > >
> > > > > > > > Another trick I use is to type: "pydoc matplotlib" and see what it picked up.
> > > > > > > >
> > > > > > > > Ben Root
> > > > > > > >
> > > > > > > > > On Thu, Jan 19, 2017 at 4:05 PM, Slavin, Jonathan <jslavin at cfa.harvard.edu> wrote:
> > > > > > > > > > Hi all,
> > > > > > > > > >
> > > > > > > > > > I just installed matplotlib 2.0.? I was surprised that when I created an image plot using imshow I had the same old jet colormap instead of viridis.? I looked in my ~/.confg/matplotlib/matplotlibrc file and the image.cmap line was commented out, so that didn't seem to be the problem.? Just to be sure, I moved that one aside and copied the new one under the matplotlib distribution to its place (which also has that line commented out).? I still get the same result.? Obviously I can fix this either by uncommenting that line or by specifying the cmap in calls to imshow.? But I'm curious, where are those defaults stored?
> > > > > > > > > >
> > > > > > > > > > Regards,
> > > > > > > > > > Jon
> > > > > > > > > >
> > > > > > > > > > --
> > > > > > > > > > ________________________________________________________
> > > > > > > > > > Jonathan D. Slavin??? Harvard-Smithsonian CfA
> > > > > > > > > > jslavin at cfa.harvard.edu??? ?? 60 Garden Street, MS 83
> > > > > > > > > > phone: (617) 496-7981??? ?? Cambridge, MA 02138-1516
> > > > > > > > > > cell: (781) 363-0035 ? ? ? ? ? ? USA
> > > > > > > > > > ________________________________________________________
> > > > > > > > > >
> > > > > > > > > >
> > > > > > > > > > _______________________________________________
> > > > > > > > > > Matplotlib-users mailing list
> > > > > > > > > > Matplotlib-users at python.org
> > > > > > > > > > Matplotlib-users Info Page
> > > > > > > > > >
> > > > > > > >
> > > > > >
> > > > > >
> > > > > >
> > > > > > --
> > > > > > ________________________________________________________
> > > > > > Jonathan D. Slavin??? Harvard-Smithsonian CfA
> > > > > > jslavin at cfa.harvard.edu??? ?? 60 Garden Street, MS 83
> > > > > > phone: (617) 496-7981??? ?? Cambridge, MA 02138-1516
> > > > > > cell: (781) 363-0035 ? ? ? ? ? ? USA
> > > > > > ________________________________________________________
> > > > > >
> > > >
> >
> >
> >
> > --
> > ________________________________________________________
> > Jonathan D. Slavin??? Harvard-Smithsonian CfA
> > jslavin at cfa.harvard.edu??? ?? 60 Garden Street, MS 83
> > phone: (617) 496-7981??? ?? Cambridge, MA 02138-1516
> > cell: (781) 363-0035 ? ? ? ? ? ? USA
> > ________________________________________________________
> >

_______________________________________________
Matplotlib-users mailing list
Matplotlib-users at python.org
https://mail.python.org/mailman/listinfo/matplotlib-user

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/matplotlib-users/attachments/20170120/24bd51f6/attachment.html&gt;

Not quite sure what happened, but now it appears that the default cmap is
viridis. I wonder if there's some sort of cache for the rcparams. In any
case in the words of Emily Litella, "never mind"!

Jon

···

On Fri, Jan 20, 2017 at 8:04 AM, Weining Duan <wn.duan at gmail.com> wrote:

Hi,

I?ve read your talk and decided to make some test case on my computer.
Just expecting to offer some more test case and information.

As for now, I find everything works fine, including the colormap for
`imshow()` function. I?ve checked the rc file, that line is commented out.
So its really weird of Jon's situation.

I?m using anaconda + matplotlib 2.0 on MacOS.

Weining Duan

On 2017?1?20? +0800 06:21, Benjamin Root <ben.v.root at gmail.com>, wrote:

well, that would be matplotlib.defaultParams. It is hard-coded. It serves
as the base config, and the rc file simply updates that dictionary. Your
situation seems very weird. Can you confirm that rc['image.cmap'] is
'viridis'?

Ben Root

On Thu, Jan 19, 2017 at 4:47 PM, Slavin, Jonathan <jslavin at cfa.harvard.edu > > wrote:

It's showing ~/.config/matplotlib/matplotlibrc But as I said, the line
with image.cmap on it was commented out. So how are the defaults set for
things that are not changed by the matplotlibrc?

Jon

On Thu, Jan 19, 2017 at 4:32 PM, Benjamin Root <ben.v.root at gmail.com> >> wrote:

Ok, then try this to find out what config file is being used:

import matplotlib
print(matplotlib.matplotlib_fname())

Ben Root

On Thu, Jan 19, 2017 at 4:19 PM, Slavin, Jonathan < >>> jslavin at cfa.harvard.edu> wrote:

Hi Ben,

It's definitely picking up the new matplotlib since many defaults for
plotting, e.g. the line color cycle, tick direction, are changed. It's
really just the default colormap that's apparently unchanged.

Jon

On Thu, Jan 19, 2017 at 4:09 PM, Benjamin Root <ben.v.root at gmail.com> >>>> wrote:

in situations like this, the most common reason is that you aren't
actually loading the matplotlib you think you are running. I would
double-check by doing:

import matplotlib
print(matplotlib.__version__)

Another trick I use is to type: "pydoc matplotlib" and see what it
picked up.

Ben Root

On Thu, Jan 19, 2017 at 4:05 PM, Slavin, Jonathan < >>>>> jslavin at cfa.harvard.edu> wrote:

Hi all,

I just installed matplotlib 2.0. I was surprised that when I created
an image plot using imshow I had the same old jet colormap instead of
viridis. I looked in my ~/.confg/matplotlib/matplotlibrc file and
the image.cmap line was commented out, so that didn't seem to be the
problem. Just to be sure, I moved that one aside and copied the new one
under the matplotlib distribution to its place (which also has that line
commented out). I still get the same result. Obviously I can fix this
either by uncommenting that line or by specifying the cmap in calls to
imshow. But I'm curious, where are those defaults stored?

Regards,
Jon

--
________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
jslavin at cfa.harvard.edu 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
cell: (781) 363-0035 USA
________________________________________________________

_______________________________________________
Matplotlib-users mailing list
Matplotlib-users at python.org
Matplotlib-users Info Page

--
________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
jslavin at cfa.harvard.edu 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
cell: (781) 363-0035 USA
________________________________________________________

--
________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
jslavin at cfa.harvard.edu 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
cell: (781) 363-0035 USA
________________________________________________________

_______________________________________________
Matplotlib-users mailing list
Matplotlib-users at python.org
https://mail.python.org/mailman/listinfo/matplotlib-user

--
________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
jslavin at cfa.harvard.edu 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
cell: (781) 363-0035 USA
________________________________________________________
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/matplotlib-users/attachments/20170120/228f6dd7/attachment-0001.html&gt;