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()