UPDATE: I've got something to work (see below). I would appreciate comments
on whether it is 'pythonic' and the most efficient. Also, what would I have
to do to have a more OO approach? I would prefer to not use 'pyplot' in
general.
#!/usr/bin/env python
import matplotlib as mpl
import numpy as np
import matplotlib.pyplot as plt
def plot_fill_between(array=None):
""" plot with fill_between for a cumsum vector """
# Set up plotting environment
fig = plt.figure()
ax = fig.gca()
nx = 40
ny = 20
if array is None:
X = range(nx)
array = np.random.rand(nx,ny)
array = np.cumsum(array,axis=1)
Nc = np.array([float(i)/ny for i in range(ny)])
norm = mpl.colors.normalize(Nc.min(),Nc.max())
jet = plt.cm.get_cmap('jet')
facecolors=[]
for i in range(ny-1):
if i == 0:
facecolors.append(jet(norm(Nc[i])))
plt.fill_between(X,np.zeros(len(array[:,i])),array[:,i],
color=facecolors[-1],label='%s' % i)
facecolors.append(jet(norm(Nc[i+1])))
plt.fill_between(X,array[:,i],array[:,i+1],
color=facecolors[-1],label='%s' % i)
fig.autofmt_xdate()
plt.title('Fill Between Demo')
## ListedColormap
pos = ax.get_position()
l, b, w, h = getattr(pos, 'bounds', pos)
ax2 = fig.add_axes([l,.09,w,0.03])
cmap = mpl.colors.ListedColormap(facecolors)
bounds = range(len(facecolors)+1)
cb2 = mpl.colorbar.ColorbarBase(ax2,
cmap=cmap,
boundaries=bounds,
ticks=bounds, # optional
spacing='proportional',
orientation='horizontal')
cb2.set_label('(units)',size='x-small')
return fig
if __name__ == "__main__":
fig = plot_fill_between()
plt.show()
--
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