Re: [Matplotlib-users] configuring colorbar labels on a black background

2010-02-24 Thread Jim Vickroy 

Jae-Joon Lee wrote:

This seems to be a bug and I recommend you to file a bug.
This happens because Axis.set_ticklabels method only changes the
attributes of left (or bottom) tick labels.

Meanwhile, try

for t in colorbar.ax.get_yticklabels():
t.set_color(w)

-JJ
  

Thanks for the explanation and alternative which works just fine!

As per your suggestion, I have submitted a trouble report (2957923). 
entitled: set_yticklabels(labels, color='white') ignored


-- jv

On Tue, Feb 23, 2010 at 11:03 AM, Jim Vickroy jim.vick...@noaa.gov wrote:
  

Hello,

I'm (unsuccessfully) trying to generate a figure (with a labeled colorbar)
having a black background.

Here is the code.

_purpose_ = 'demonstrate capability to create PNG with black background
including labeled color bar'
_author_  = 'jim.vick...@noaa.gov'

import numpy  # http://numpy.scipy.org/
import matplotlib # http://matplotlib.sourceforge.net/index.html
matplotlib.use('Agg') # http://matplotlib.sourceforge.net/backends.html --
probably the fastest, non-GUI, rendering backend
import matplotlib.pyplot as plot #
http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot
import matplotlib.cm # color maps

import sys
assert sys.version== '2.6.4 (r264:75708, Oct 26 2009, 08:23:19)
[MSC v.1500 32 bit (Intel)]', sys.version
assert numpy.__version__  == '1.4.0',  numpy.__version__
assert matplotlib.__version__ == '0.99.1', matplotlib.__version__

data_min =   0
data_max = 256
data = numpy.random.randint(data_max, size=(512,512))
rows_cnt, columns_cnt = data.shape
shape= rows_cnt, columns_cnt
x= numpy.empty(data.shape, dtype=int)
y= numpy.empty(data.shape, dtype=int)
x[:] = numpy.arange(rows_cnt)
y[:] = numpy.arange(columns_cnt)
XI, YI   = numpy.meshgrid(x[0], y[0])

title  = 'this is the figure title'
plot.clf() # clear the figure
plot.title(title,color='white',backgroundcolor='black')
plot.axis('off')
colormap = 'gist_heat'
config   = dict(cmap=eval('matplotlib.cm.%s' % colormap), vmin=data_min,
vmax=data_max) # vmin,vmax specify a fixed (color-map) scale
plot.pcolormesh(XI, YI, data, **config)
colorbar = plot.colorbar()
##
# labels   = ??? list of strings labels ???
labels = [str(i) for i in range(10)]
colorbar.ax.set_yticklabels(labels, color='white')
##
plot.imshow(data, interpolation='bilinear', cmap=config['cmap'],
origin='upper', extent=[0,rows_cnt,0,columns_cnt])
# plot.show() # interactive
filename = 'trial-plot-with-labeled-colorbar.png'
plot.savefig(filename, facecolor='black')
plot.close()

which generates a figure with a black background and invisible (black) color
bar labels.

I'm probably going about this completely wrong.

Questions:

How do I get white color bar labels?
How do I access the generated sequence of string labels (for use as the
first set_yticklabels parameter) rather than artificially defining a list of
labels?

Thanks,
-- jv

--
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proactively, and fine-tune applications for parallel performance.
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--
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proactively, and fine-tune applications for parallel performance.
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[Matplotlib-users] configuring colorbar labels on a black background

2010-02-23 Thread Jim Vickroy 

Hello,

I'm (unsuccessfully) trying to generate a figure (with a labeled 
colorbar) having a black background.


Here is the code.

_purpose_ = 'demonstrate capability to create PNG with black background 
including labeled color bar'

_author_  = 'jim.vick...@noaa.gov'

import numpy  # http://numpy.scipy.org/
import matplotlib # http://matplotlib.sourceforge.net/index.html
matplotlib.use('Agg') # http://matplotlib.sourceforge.net/backends.html 
-- probably the fastest, non-GUI, rendering backend
import matplotlib.pyplot as plot # 
http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot

import matplotlib.cm # color maps

import sys
assert sys.version== '2.6.4 (r264:75708, Oct 26 2009, 
08:23:19) [MSC v.1500 32 bit (Intel)]', sys.version

assert numpy.__version__  == '1.4.0',  numpy.__version__
assert matplotlib.__version__ == '0.99.1', matplotlib.__version__

data_min =   0
data_max = 256
data = numpy.random.randint(data_max, size=(512,512))
rows_cnt, columns_cnt = data.shape
shape= rows_cnt, columns_cnt
x= numpy.empty(data.shape, dtype=int)
y= numpy.empty(data.shape, dtype=int)
x[:] = numpy.arange(rows_cnt)
y[:] = numpy.arange(columns_cnt)
XI, YI   = numpy.meshgrid(x[0], y[0])

title  = 'this is the figure title'
plot.clf() # clear the figure
plot.title(title,color='white',backgroundcolor='black')
plot.axis('off')
colormap = 'gist_heat'
config   = dict(cmap=eval('matplotlib.cm.%s' % colormap), vmin=data_min, 
vmax=data_max) # vmin,vmax specify a fixed (color-map) scale

plot.pcolormesh(XI, YI, data, **config)
colorbar = plot.colorbar()
##
# labels   = ??? list of strings labels ???
labels = [str(i) for i in range(10)]
colorbar.ax.set_yticklabels(labels, color='white')
##
plot.imshow(data, interpolation='bilinear', cmap=config['cmap'], 
origin='upper', extent=[0,rows_cnt,0,columns_cnt])

# plot.show() # interactive
filename = 'trial-plot-with-labeled-colorbar.png'
plot.savefig(filename, facecolor='black')
plot.close()

which generates a figure with a black background and invisible (black) 
color bar labels.


I'm probably going about this completely wrong.

Questions:

  1. How do I get white color bar labels?
  2. How do I access the generated sequence of string labels (for use
 as the first set_yticklabels parameter) rather than artificially
 defining a list of labels?


Thanks,
-- jv
--
Download Intel#174; Parallel Studio Eval
Try the new software tools for yourself. Speed compiling, find bugs
proactively, and fine-tune applications for parallel performance.
See why Intel Parallel Studio got high marks during beta.
http://p.sf.net/sfu/intel-sw-dev___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Re: [Matplotlib-users] configuring colorbar labels on a black background

2010-02-23 Thread Jae-Joon Lee 
This seems to be a bug and I recommend you to file a bug.
This happens because Axis.set_ticklabels method only changes the
attributes of left (or bottom) tick labels.

Meanwhile, try

for t in colorbar.ax.get_yticklabels():
t.set_color(w)

-JJ

On Tue, Feb 23, 2010 at 11:03 AM, Jim Vickroy jim.vick...@noaa.gov wrote:
 Hello,

 I'm (unsuccessfully) trying to generate a figure (with a labeled colorbar)
 having a black background.

 Here is the code.

 _purpose_ = 'demonstrate capability to create PNG with black background
 including labeled color bar'
 _author_  = 'jim.vick...@noaa.gov'

 import numpy  # http://numpy.scipy.org/
 import matplotlib # http://matplotlib.sourceforge.net/index.html
 matplotlib.use('Agg') # http://matplotlib.sourceforge.net/backends.html --
 probably the fastest, non-GUI, rendering backend
 import matplotlib.pyplot as plot #
 http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot
 import matplotlib.cm # color maps

 import sys
 assert sys.version    == '2.6.4 (r264:75708, Oct 26 2009, 08:23:19)
 [MSC v.1500 32 bit (Intel)]', sys.version
 assert numpy.__version__  == '1.4.0',  numpy.__version__
 assert matplotlib.__version__ == '0.99.1', matplotlib.__version__

 data_min =   0
 data_max = 256
 data = numpy.random.randint(data_max, size=(512,512))
 rows_cnt, columns_cnt = data.shape
 shape    = rows_cnt, columns_cnt
 x    = numpy.empty(data.shape, dtype=int)
 y    = numpy.empty(data.shape, dtype=int)
 x[:] = numpy.arange(rows_cnt)
 y[:] = numpy.arange(columns_cnt)
 XI, YI   = numpy.meshgrid(x[0], y[0])

 title  = 'this is the figure title'
 plot.clf() # clear the figure
 plot.title(title,color='white',backgroundcolor='black')
 plot.axis('off')
 colormap = 'gist_heat'
 config   = dict(cmap=eval('matplotlib.cm.%s' % colormap), vmin=data_min,
 vmax=data_max) # vmin,vmax specify a fixed (color-map) scale
 plot.pcolormesh(XI, YI, data, **config)
 colorbar = plot.colorbar()
 ##
 # labels   = ??? list of strings labels ???
 labels = [str(i) for i in range(10)]
 colorbar.ax.set_yticklabels(labels, color='white')
 ##
 plot.imshow(data, interpolation='bilinear', cmap=config['cmap'],
 origin='upper', extent=[0,rows_cnt,0,columns_cnt])
 # plot.show() # interactive
 filename = 'trial-plot-with-labeled-colorbar.png'
 plot.savefig(filename, facecolor='black')
 plot.close()

 which generates a figure with a black background and invisible (black) color
 bar labels.

 I'm probably going about this completely wrong.

 Questions:

 How do I get white color bar labels?
 How do I access the generated sequence of string labels (for use as the
 first set_yticklabels parameter) rather than artificially defining a list of
 labels?

 Thanks,
 -- jv

 --
 Download Intel#174; Parallel Studio Eval
 Try the new software tools for yourself. Speed compiling, find bugs
 proactively, and fine-tune applications for parallel performance.
 See why Intel Parallel Studio got high marks during beta.
 http://p.sf.net/sfu/intel-sw-dev
 ___
 Matplotlib-users mailing list
 Matplotlib-users@lists.sourceforge.net
 https://lists.sourceforge.net/lists/listinfo/matplotlib-users



--
Download Intel#174; Parallel Studio Eval
Try the new software tools for yourself. Speed compiling, find bugs
proactively, and fine-tune applications for parallel performance.
See why Intel Parallel Studio got high marks during beta.
http://p.sf.net/sfu/intel-sw-dev
___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users