Logarithmic y-axis bins in python

Question

I’m trying to create a histogram of a data column and plot it logarithmically (y-axis) and I’m not sure why the following code does not work:

import numpy as np
import matplotlib.pyplot as plt
data = np.loadtxt('foo.bar')
fig = plt.figure()
ax = fig.add_subplot(111)
plt.hist(data, bins=(23.0, 23.5,24.0,24.5,25.0,25.5,26.0,26.5,27.0,27.5,28.0))
ax.set_xlim(23.5, 28)
ax.set_ylim(0, 30)
ax.grid(True)
plt.yscale('log')
plt.show()

I’ve also tried instead of plt.yscale('log') adding Log=true in the plt.hist line and also I tried ax.set_yscale('log'), but nothing seems to work. I either get an empty plot, either the y-axis is indeed logarithmic (with the code as shown above), but there is no data plotted (no bins).

Asked By: mannaroth

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Source

Answer 1

try

plt.yscale('log', nonposy='clip')

http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.yscale

The issue is with the bottom of bars being at y=0 and the default is to mask out in-valid points (log(0) -> undefined) when doing the log transformation (there was discussion of changing this, but I don’t remember which way it went) so when it tries to draw the rectangles for you bar plot, the bottom edge is masked out -> no rectangles.

Answered By: tacaswell

Answer 2

np.logspace returns bins in [1-10], logarithmically spaced – in my case xx is a npvector >0 so the following code does the trick

logbins=np.max(xx)*(np.logspace(0, 1, num=1000) - 1)/9
hh,ee=np.histogram(xx, density=True, bins=logbins)

Answered By: Luca Rigazio

Answer 3

The hist constructor accepts the log parameter.
You can do this:

plt.hist(data, bins=bins, log=True)

Answered By: Filipe Gomes

Logarithmic y-axis bins in python

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