Transforming Seaborn axis to log

Asked Jan 21 '19 at 23:31

Active Jan 21 '19 at 23:54

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I am plotting some data in a pandas dataframe as a simple boxplot using seaborn. I would like to use a log scale on the y axis. Is there a good way to do this?

from matplotlib import style, pyplot as plt
import seaborn as sns
import pandas as pd

plt.figure()
sns.boxplot(x='Sample', y='Variants', data=plot_data)
plt.tick_params(labelbottom=True, bottom=False)
sns.despine(offset=10, trim=True, bottom=True)

I did try plt.set_yscale('log') but I just get this error: 'module' object has no attribute 'set_yscale'

And plt.yscale('log') gives me a very large plot.

edited Jan 21 '19 at 23:54

asked Jan 21 '19 at 23:31

The Nightman

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Did you mean `plt.yscale`? Or `plt.gca().set_yscale`? – ImportanceOfBeingErnest Jan 21 '19 at 23:52
Actually `plt.gca().set_yscale` works nicely. Appreciate the help. – The Nightman Jan 21 '19 at 23:56
Note however that you would usually call `ax=sns.blaplot()` and then use `ax` with the solutions from the duplicate – ImportanceOfBeingErnest Jan 22 '19 at 00:03

Transforming Seaborn axis to log

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