As far as I know the option Log=True in the histogram function only refers to the y-axis.
I need the bins to be equally spaced in log10. Is there something that can do this?
use logspace() to create a geometric sequence, and pass it to bins parameter. And set the scale of xaxis to log scale.
import pylab as pl import numpy as np data = np.random.normal(size=10000) pl.hist(data, bins=np.logspace(np.log10(0.1),np.log10(1.0), 50)) pl.gca().set_xscale("log") pl.show()
The most direct way is to just compute the log10 of the limits, compute linearly spaced bins, and then convert back by raising to the power of 10, as below:
import pylab as pl import numpy as np data = np.random.normal(size=10000) MIN, MAX = .01, 10.0 pl.figure() pl.hist(data, bins = 10 ** np.linspace(np.log10(MIN), np.log10(MAX), 50)) pl.gca().set_xscale("log") pl.show()