How to scale Seaborn's y-axis with a bar plot

Question

I'm using factorplot(kind="bar").

How do I scale the y-axis, for example with log-scale?

I tried tinkering with the plots' axes, but that always messed up the bar plot in one way or another, so please try your solution first to make sure it really works.

Answer 1

Considering your question mentions barplot I thought I would add in a solution for that type of plot also as it differs from the factorplot in @Jules solution.

import random import matplotlib.pyplot as plt import seaborn as sns sns.set(style="whitegrid")  xs = ["First", "First", "Second", "Second", "Third", "Third"] hue = ["Female", "Male"] * 3 ys = [1988, 301, 860, 77, 13, 1]  g = sns.barplot(x=xs, y=ys, hue=hue) g.set_yscale("log") _ = g.set(xlabel="Class", ylabel="Survived") 

And if you want to label the y-axis with non-logarithmic labels you can do the following.

import random import matplotlib.pyplot as plt import seaborn as sns sns.set(style="whitegrid")  xs = ["First", "First", "Second", "Second", "Third", "Third"] hue = ["Female", "Male"] * 3 ys = [1988, 301, 860, 77, 13, 1]  g = sns.barplot(x=xs, y=ys, hue=hue) g.set_yscale("log")  # the non-logarithmic labels you want ticks = [1, 10, 100, 1000] g.set_yticks(ticks) g.set_yticklabels(ticks)  _ = g.set(xlabel="Class", ylabel="Survived") 

Answer 2

Note that seaborn.factorplot was renamed to seaborn.catplot

import seaborn as sns import matplotlib.pyplot as plt      titanic = sns.load_dataset("titanic")  g = sns.catplot(x="class", y="survived", hue="sex",                    data=titanic, kind="bar",                    height=5, palette="muted", legend=False, log=True) plt.show() 

You can use Matplotlib commands after calling factorplot. For example:

g = sns.factorplot(x="class", y="survived", hue="sex",                    data=titanic, kind="bar",                    height=5, palette="muted", legend=False) g.fig.get_axes()[0].set_yscale('log') plt.show()