Rotate label text in seaborn factorplot

Question

I have a simple factorplot

import seaborn as sns
g = sns.factorplot("name", "miss_ratio", "policy", dodge=.2, 
    linestyles=["none", "none", "none", "none"], data=df[df["level"] == 2])

The problem is that the x labels all run together, making them unreadable. How do you rotate the text so that the labels are readable?

Answer 1

I had a problem with the answer by @mwaskorn, namely that

g.set_xticklabels(rotation=30)

fails, because this also requires the labels. A bit easier than the answer by @Aman is to just add

plt.xticks(rotation=45)

Answer 2

If anyone wonders how to this for clustermap CorrGrids (part of a given seaborn example):

import seaborn as sns
import matplotlib.pyplot as plt
sns.set(context="paper", font="monospace")

# Load the datset of correlations between cortical brain networks
df = sns.load_dataset("brain_networks", header=[0, 1, 2], index_col=0)
corrmat = df.corr()

# Set up the matplotlib figure
f, ax = plt.subplots(figsize=(12, 9))

# Draw the heatmap using seaborn
g=sns.clustermap(corrmat, vmax=.8, square=True)
rotation = 90 
for i, ax in enumerate(g.fig.axes):   ## getting all axes of the fig object
     ax.set_xticklabels(ax.get_xticklabels(), rotation = rotation)


g.fig.show()

Answer 3

Aman is correct that you can use normal matplotlib commands, but this is also built into the FacetGrid:

import seaborn as sns
planets = sns.load_dataset("planets")
g = sns.factorplot("year", data=planets, aspect=1.5, kind="count", color="b")
g.set_xticklabels(rotation=30)

There are some comments and another answer claiming this "doesn't work", however, anyone can run the code as written here and see that it does work. The other answer does not provide a reproducible example of what isn't working, making it very difficult to address, but my guess is that people are trying to apply this solution to the output of functions that return an Axes object instead of a Facet Grid. These are different things, and the Axes.set_xticklabels() method does indeed require a list of labels and cannot simply change the properties of the existing labels on the Axes. The lesson is that it's important to pay attention to what kind of objects you are working with.

Answer 4

This is still a matplotlib object. Try this:

# <your code here>
locs, labels = plt.xticks()
plt.setp(labels, rotation=45)

Answer 5

For a seaborn.heatmap, you can rotate these using (based on @Aman's answer)

pandas_frame = pd.DataFrame(data, index=names, columns=names)
heatmap = seaborn.heatmap(pandas_frame)
loc, labels = plt.xticks()
heatmap.set_xticklabels(labels, rotation=45)
heatmap.set_yticklabels(labels[::-1], rotation=45) # reversed order for y