Wrap text in seaborn barplot x-axis python

Question

I'm trying to plot a dataframe and I want the x-axis labels to not override each other like here

When dealing with one plot, adding .set_xticklabels(rotation=30) does solve the issue:

sns.catplot("foo", data=boo, aspect=5, kind="count" ).set_xticklabels(rotation=30)

but when I add the ax argument as here:

sns.catplot("foo", data=boo, aspect=5, kind="count" , ax=fig.add_subplot(211) ),

it doesn't (see the first snapshot).

I tried sns.catplot("foo", data=boo, aspect=5, kind="count", ax=ax1).set_xticklabels(rotation=30)

I'm looking for some kind of excel's "wrap text". I tried looking in seaborn attributes and had no success. I also tried to make the x-axis values smaller, but it was still overriding each over in some of the labels.

See some solutions here - https://stackoverflow.com/questions/26540035/rotate-label-text-in-seaborn-factorplot — Tom Ron, Dec 14 '18 at 13:48
https://stackoverflow.com/questions/26540035/rotate-label-text-in-seaborn-factorplot — xcen, Dec 14 '18 at 13:49
Possible duplicate of [Rotate label text in seaborn factorplot](https://stackoverflow.com/questions/26540035/rotate-label-text-in-seaborn-factorplot) — Venkatachalam, Dec 14 '18 at 18:10
You can manually rename your categories so that they have the new line character. This might not be the most elegant/automated solution, but it get's things done. — Carlos Pinzón, Jun 01 '23 at 08:55

score 0 · Answer 1 · edited Dec 22 '21 at 17:10

Disc - This is my first post on 'StackOF'. Please excuse me if it is not up to your expectations. To wrap the x-axis labels in Seaborn is not possible (afaik) but even with Dexplot there are too many limitations. Here is the logic for achieving this using Matplotlib (using python).

import pandas as pd
import matplotlib.pyplot as plt
import numpy as np

raw_data = {'plan_type':  ['this is big ticks number one', 'this is also a big ticks number two Group B', 'and this as well a very big ticks number three Group C', 'this is no exception than a very big ticks number four Group D','Group E'],
        'Total': [56,24,18,49,67],
        'Total_PY': [12,82,33,60,16]
}


df = pd.DataFrame(raw_data, 
              columns = ['plan_type', 'Total', 'Total_PY'])


fig, ax = plt.subplots(figsize=(14,9))
ax = df.plot.bar(rot=0, ax=ax, color=['#FF5733','#2323ff'], 
             width = 0.7 )


for p in ax.patches[1:]:
h = p.get_height()
x = p.get_x()+p.get_width()/2.
if h != 0 :
    ax.annotate("%g" % p.get_height(), xy=(x,h), xytext=(0,4), rotation=0, 
               textcoords="offset points", ha="center", va="bottom")


ax.set_xlim(-0.5, None)
ax.set_ylim(-0.5, 120)
ax.margins(y=0)

ax.legend(ncol = len(df.columns), loc="lower right", bbox_to_anchor=(0,1.02,1,0.08), 
          borderaxespad=0, title= 'Year' )


ax = plt.gca();
labels = df["plan_type"].tolist()
new_labels = []

for tick in labels:
word_list = tick.split();
new_labels.append(word_list);


new_ticks = []
for label_tick in new_labels:

if(len(label_tick) >= 2):

    joined = ' \n'.join(label_tick);
    new_ticks.append(joined) ;
else:
    joined = ' '.join(label_tick);
    new_ticks.append(joined) ;

plt.xticks(ticks = df.index, labels = new_ticks)
plt.xlabel('Type of Plan')
plt.ylabel('Count of Numbers')

score -2 · Answer 2 · answered Jun 12 '20 at 15:26

This isn't possible with seaborn, but it is with dexplot, a library similar to seaborn, but with many more features.

Below, is a bar chart with long labels. They are automatically wrapped, but can be wrapped at a specific position with x_textwrap and y_textwrap.

In seaborn, this same plot looks like this:

Wrap text in seaborn barplot x-axis python

2 Answers2

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