Re: [Matplotlib-users] compile numpy with UCS4

2012-12-20 Thread Michael Droettboom
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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[Matplotlib-users] This user name is already in use

2012-12-20 Thread tmp8PG2K
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_peoplenode=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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Re: [Matplotlib-users] This user name is already in use

2012-12-20 Thread Benjamin Root
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 kyn...@gmail.com 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_peoplenode=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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 http://matplotlib.1069221.n5.nabble.com/This-user-name-is-already-in-use-tp40094.html
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Re: [Matplotlib-users] This user name is already in use

2012-12-20 Thread tmp8PG2K
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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Re: [Matplotlib-users] This user name is already in use

2012-12-20 Thread Benjamin Root
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
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[Matplotlib-users] How to provide colorbars for scatterplots created this way?

2012-12-20 Thread Kynn Jones
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
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Re: [Matplotlib-users] How to provide colorbars for scatterplots created this way?

2012-12-20 Thread Paul Hobson
On Thu, Dec 20, 2012 at 1:05 PM, Kynn Jones kyn...@gmail.com 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
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