How to relabel bars in seaborn plot?

user_12708740 0
Viewed 1148

I'd like to relabel the bars in my plot. Currently, my bars are grouped and named as "A", "B", and "C" in this toy example.

How can I relabel A, B, and C to other names, e.g., "first", "second", and "third"?

Current plot and code below: enter image description here

sns.catplot(data = data, 
            x = x,
            y = y,
            hue='condition',
            kind='bar', 
            order=['A', 'B', 'C'],
            palette=sns.color_palette(['#FF5720', '#18C288']))

Thanks so much for your advice in advance!

seaborn plot python
2 Answers

Just use xticklabels inside g.set(). Example taken from here: catplot example.

import seaborn as sns
sns.set(style="whitegrid")

# Load the example Titanic dataset
titanic = sns.load_dataset("titanic")

# Draw a nested barplot to show survival for class and sex
g = sns.catplot(
        x="class", 
        y="survived", 
        hue="sex", 
        data=titanic,
        height=6, 
        kind="bar", 
        palette=sns.color_palette(['#FF5720', '#18C288'])
                )

g.despine(left=True)
g.set_ylabels("survival probability")
g.set(xticklabels=["first", "second", "third"])

Example

user_119793500

I would rename the labels on the fly:

fg = (
  df.replace(columns={x: {'A': 'First', 'B': 'Second', 'C': 'Third'}})
    .pipe(
      (sns.catplot, 'data'),
      x = x,
      y = y,
      hue='condition',
      kind='bar', 
      order=['First', 'Second', 'Third'],
      palette=sns.color_palette(['#FF5720', '#18C288'])
    )
)

This way, the axes labels won't get broken if the more categories end up in the dataframe

user_15527480
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