matplotlib-users Mailing List for matplotlib

On Thu, Dec 20, 2012 at 1:05 PM, Kynn Jones <ky...@gm...> wrote:

> I create PNG files of scatterplots with code that, in essence, goes as in
> the sketch below:
>
>
> cmap = (matplotlib.color.LinearSegmentedColormap.
>         from_list('blueWhiteRed', ['blue', 'white', 'red']))
>
> fig = matplotlib.figure.Figure(figsize=(4, 4), dpi=72)
> ax = fig.gca()
>
> for marker in 'o s ^ *'.split():
>
>     X, Y, COLOR = zip(*((record.x, record.y, record.level)
>                         for record in data if record.marker == marker))
>
>     ax.scatter(X, Y, marker=marker,
>                c=COLOR, vmin=0, vmax=1, cmap=cmap,
>                **otherkwargs)
>
> # various settings of ticks, labels, etc. omitted
>
> canvas = matplotlib.backends.backend_agg.FigureCanvasAgg(fig)
> fig.set_canvas(canvas)
>
> # IMPORTANT: the generated figure is *not* displayed on the screen, but
> # rather it is output to disk as a PNG file:
> canvas.print_png('/path/to/output/fig.png')
>
>
>
> My question is this:
>
> What do I need to add to the code above to get a vertical colorbar
> (representing the colormap incmap) along the plot's right edge?
>
> I word the question in this way because I am not sufficiently facile with
> Matplotlib to deviate too far from the working code above.
>
> In particular, my code *has* to be able to produce PNG files
> *non-interactively*, so the last line in the code sketch above is really
> essential.
>
> Thanks in advance!
>
> kj
>
>
Can you provide some more information and a self-contained example? What is
your record object? Is it a pandas dataframe? Are the limits of
record.level consistent with vmax and vmin kwargs fed in the call to
ax.scatter?

Typically you can just do:

import matplotlib.pyplot as plt
# blah blah
fig, ax = plt.subplots()
s = ax.scatter()...
cb = plt.colorbar(s)
cb.set_label('Cbar Label Here')

Also, I don't think you need to mess with the backend stuff. Just do
fig.savefig('figname.png'). If you need separate markers for each set, make
a single call to scatter for each data group, and use numpy to figure out
what the appropriate vmax a vmin limits are for the colorbar.

-paul

I create PNG files of scatterplots with code that, in essence, goes as in
the sketch below:


cmap = (matplotlib.color.LinearSegmentedColormap.
        from_list('blueWhiteRed', ['blue', 'white', 'red']))

fig = matplotlib.figure.Figure(figsize=(4, 4), dpi=72)
ax = fig.gca()

for marker in 'o s ^ *'.split():

    X, Y, COLOR = zip(*((record.x, record.y, record.level)
                        for record in data if record.marker == marker))

    ax.scatter(X, Y, marker=marker,
               c=COLOR, vmin=0, vmax=1, cmap=cmap,
               **otherkwargs)

# various settings of ticks, labels, etc. omitted

canvas = matplotlib.backends.backend_agg.FigureCanvasAgg(fig)
fig.set_canvas(canvas)

# IMPORTANT: the generated figure is *not* displayed on the screen, but
# rather it is output to disk as a PNG file:
canvas.print_png('/path/to/output/fig.png')



My question is this:

What do I need to add to the code above to get a vertical colorbar
(representing the colormap incmap) along the plot's right edge?

I word the question in this way because I am not sufficiently facile with
Matplotlib to deviate too far from the working code above.

In particular, my code *has* to be able to produce PNG files
*non-interactively*, so the last line in the code sketch above is really
essential.

Thanks in advance!

kj

My apologies, I misread your post.  I was assuming that you were trying to
create a github account in order to file a bug report.  But again, this
isn't a matplotlib issue, this is a nabble issue.

Ben Root

Benjamin Root-2 wrote
> This would be a question for github.com, not for this mailing list.  We do
> not control github's account creation process.

Sorry, I'm confused by your mention of github.  Did you mean "nabble"?  I'm
accessing the list through http://matplotlib.1069221.n5.nabble.com...






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This would be a question for github.com, not for this mailing list.  We do
not control github's account creation process.

Ben Root

On Thu, Dec 20, 2012 at 1:27 PM, tmp8PG2K <ky...@gm...> wrote:

> When I try to register, I run into the error "This user name is already in
> use" (even though this username does not show up in the "People" listing at
>
> http://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=app_people&node=2
> ).
>
> If there already is a user with this name I'm sure it's me, but there's no
> way for me to log in by providing a user name, or to have a password or a
> link sent to the email associated with the username in question.
>
> How can I free up my username so I can register with it?
>
>
>
>
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> View this message in context:
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> Sent from the matplotlib - users mailing list archive at Nabble.com.
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When I try to register, I run into the error "This user name is already in
use" (even though this username does not show up in the "People" listing at
http://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=app_people&node=2).

If there already is a user with this name I'm sure it's me, but there's no
way for me to log in by providing a user name, or to have a password or a
link sent to the email associated with the username in question.

How can I free up my username so I can register with it?




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When you recompile Python in a new unicode mode, you then need to 
recompile all extensions (such as Numpy), since an extension compiled 
for one mode will not work with the other.  Annoying if you have a lot 
of extensions.

However, I don't think that UCS4 mode is required for Tkinter -- it 
could just be that the Tkinter you have compiled was compiled against a 
Python of a different unicode mode.  (RHEL builds its python packages 
with --enable-unicode=UCS4, so if you're using the RH package for 
Tkinter with a self compiled Python, that may be what you're running into.)

Mike

On 12/19/2012 06:08 PM, Kurt Peters wrote:
> I had to compile and install Python 2.7 on RHEL with the
> --enable-unicode=USC4 to get it to work with Tkinter.  Unfortunately, I'm
> now trying to install numpy, and get an error when importing it into python
> "ImportError: numpy/core/multiarray.so: undefined symbol:
> PyUnicodeUCS2_AsASCIIString".
>
> Is there are way to get the two to play together nicely?  Such as
> recompiling numpy with USC4 support?
> KURT
>
>
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