Hi folks, Lately I've been working with some data that is too copious to fit in memory, so I've had to write a wrapper for pyplot.hist that bins the data in chunks and then draws it like so:
pyplot.hist(x_edges, bins=100, weights=bin_contents,
histtype='stepfilled', facecolor='g')
However, when I try to set the histogram's y-scale to logarithmic the
colors get all messed up (see attached). Any ideas? This is w/ matplotlib
0.99.0.
Thanks in advance.
--cb
# Example script
import numpy as
np
import matplotlib.pyplot as
plt
# generate some data on
log-scale
x =
10**np.random.uniform(size=10000)
# bin the data myself
bins, xed = np.histogram(x, bins=100, range=(0,
10))
# plot the data as a weighted histo
plt.hist(np.linspace(0, 10, 100), bins=100, weights=bins,
histtype='stepfilled',
facecolor='g')
plt.yscale('log')
plt.savefig("test.png")
plt.clf()
<<attachment: test.png>>
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