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® 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
