Log-Log plot of pandas dataframe

Question

I would like to make a log-log plot with pandas

import numpy as np import pandas as pd x = 10**arange(1, 10) y = 10** arange(1,10)*2 df1 = pd.DataFrame( data=y, index=x ) df2 = pd.DataFrame(data = {'x': x, 'y': y}) df1.plot(logy=True, logx=True)

df1.plot(logy=True, logx=True)

How can I make the x-axis logarithmic?

Ffisegydd · Accepted Answer · 2014-05-28 13:46:51Z

17

When trying to create a log-log plot using the pandas plot function you must select loglog=True rather than logx=True, logy=True within your keyword-arguments.

import matplotlib.pyplot as plt import pandas as pd import numpy as np x = 10 ** np.arange(1, 10) y = 10 ** np.arange(1, 10) * 2 df1 = pd.DataFrame(data=y, index=x) df1.plot(loglog=True, legend=False) plt.show()

Plot

edited May 28, 2014 at 13:46

answered May 28, 2014 at 13:37

Ffisegydd

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4 Comments

sjdh Over a year ago

@Ffisgeydd Did you get a log-log plot from my example?

Ffisegydd Over a year ago

@sjdh Rather than using logx=True, logy=True instead use loglog=True and it works fine :)

sjdh Over a year ago

@Ffisgeydd Thanks. I'm new to Python Is this documented somewhere? I could not find it in the Pandas documentation. I did find something about loglog plots in the matplotlib documentation, but I don't know how to apply this to a Pandas dataframe.

Ffisegydd Over a year ago

It is not mentioned in the plot documentation but it is mentioned in a tutorial as I've linked in my answer.

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