Hello,
I've been struggling with this for a while now and have effectively two
issues. One, how can I define the range over which hexbin ... bins? And two,
how do I change the background color of a plot? The latter I thought would
be trivial, but nothing I've tried has worked. Let's take the example:
import numpy as np
import matplotlib.cm as cm
import matplotlib.pyplot as plt
n = 100000
x = np.random.standard_normal(n)
y = 2.0 + 3.0 * x + 4.0 * np.random.standard_normal(n)
#xmin = x.min()
#xmax = x.max()
#ymin = y.min()
#ymax = y.max()
xmin = 0
xmax = 10
ymin = 0
ymax = 30
plt.hexbin(x,y, cmap=cm.jet)
#plt.hexbin(x,y, cmap=cm.jet, extent=[xmin, xmax, ymin, ymax])
plt.axis([xmin, xmax, ymin, ymax])
plt.title("Hexagon binning")
cb = plt.colorbar()
cb.set_label('counts')
plt.show()
Let's say i'm only interested in the positive quadrant of the data, so I
only want to bin data in the range of 0-10 in x and 0-30 in y. The first
thing I tried was to use the extent option to only bin the specified range
of data, but that gives these errors:
[tesla:~/NMR/500-Tupp/IM7][349] HexBin.py
Traceback (most recent call last):
File "HexBin.py", line 28, in <module>
plt.hexbin(x,y, cmap=cm.jet, extent=[xmin, xmax, ymin, ymax])
File "/usr/lib64/python2.5/site-packages/matplotlib/pyplot.py", line 1920,
in hexbin
ret = gca().hexbin(*args, **kwargs)
File "/usr/lib64/python2.5/site-packages/matplotlib/axes.py", line 5447,
in hexbin
collection.update(kwargs)
File "/usr/lib64/python2.5/site-packages/matplotlib/artist.py", line 548,
in update
raise AttributeError('Unknown property %s'%k)
AttributeError: Unknown property extent
After that, I just set the plt.axis range to what I'm interested in.
However, the range not binned by hexbin shows up as white, instead of the
0-count blue. I've tried adding facecolor, edgecolor, axisbg, and who knows
what else as part of plt.hexbin, plt.axis, and plt.savefig, But most have no
consequence on the plot. plt.savefig(myname, facecolor='blue') successfully
changed everything blue except the white region within the plot.
So, where am I going wrong? I'm finding myself out of options and would
ideally not like to trim or add false points to my data just to get the axis
and colors correct.
Best,
Alex
------------------------------------------------------------------------------
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
