 # Histogram with logarithmic x-axis

Hi,

What is the easiest way to plot a histogram with a logarithmic x-axis? The
Axes.hist() method takes a log=True/False argument, but this applies only to
the y axis.

Is the only solution to plot a histogram of np.log10(array) and to change
the tick formatter to a Log formatter, or is there a more straightforward
way?

Thanks,

Tom

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Hi Tom,

I'm not sure I understood correctly, but maybe the attached example goes
towards a solution ...

best regards Matthias

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On Monday 03 August 2009 20:48:52 Thomas Robitaille wrote:

Hi,

What is the easiest way to plot a histogram with a logarithmic x-axis? The
Axes.hist() method takes a log=True/False argument, but this applies only
to the y axis.

Is the only solution to plot a histogram of np.log10(array) and to change
the tick formatter to a Log formatter, or is there a more straightforward
way?

Thanks,

Tom

#########################
import numpy as np
import matplotlib.pyplot as plt

# generate some data on log-scale
x = 10**np.random.uniform(size=1000)
# histogram with log-bining
plt.hist(x, bins=10**np.linspace(0, 1, 10))
plt.xscale('log')
plt.show()
##############################

Matthias Michler wrote:

#########################
import numpy as np
import matplotlib.pyplot as plt

# generate some data on log-scale
x = 10**np.random.uniform(size=1000)
# histogram with log-bining
plt.hist(x, bins=10**np.linspace(0, 1, 10))
plt.xscale('log')
plt.show()
##############################

Hi Matthias,

This is exactly what I need - I did not know about the xscale function.

Thanks!

Tom

···

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