Python Writing numbers on the bars on a seaborn FacetGrid figure

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SUMMARY

This discussion focuses on annotating bars within a seaborn.FacetGrid figure to display their heights on the y-scale. The provided solution utilizes the seaborn library version compatible with the discussed features. The code snippet demonstrates how to loop through the axes and patches of the FacetGrid to annotate each bar with its corresponding height using the ax.annotate method. This approach enhances data visualization by providing immediate numerical context to the graphical representation.

PREREQUISITES
  • Familiarity with Python programming
  • Understanding of the seaborn library (version compatible with FacetGrid)
  • Basic knowledge of data visualization concepts
  • Experience with matplotlib for customizing plots
NEXT STEPS
  • Explore seaborn's FacetGrid documentation for advanced features
  • Learn about matplotlib's annotation techniques for enhanced visualizations
  • Investigate seaborn's countplot parameters for better customization
  • Study best practices for data visualization to improve clarity and impact
USEFUL FOR

Data scientists, data analysts, and anyone involved in creating visualizations using Python's seaborn library will benefit from this discussion.

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Hello,

I want to write on the bars inside the subplots of a seaborn.FacetGrid a number that represents their height on the y-scale. How can I do that?

Suppose the code for the FacetGrid is

Python:
g = sns.FacetGrid(df, row = 'feat1', size = 5, aspect = 2)
g = (g.map(sns.countplot, 'feat2', hue = 'feat3', data = df, palette="Set1")).add_legend()

where all feat1 ... feat3 are categorical variables/features.

Thanks in advance
 
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Thanks. I found the answer. It is as follows for those who are interested:

Python:
g = sns.FacetGrid(...)
g = (g.map(sns.countplot, ...)).add_legend()
for ax in g.axes.ravel():#this will loop over the different figures in the grid
    for p in ax.patches:#this will loop over the different bars in each figure
        ax.annotate("%d" % p.get_height(), (p.get_x() + p.get_width() / 2., p.get_height()),
             ha='center', va='center', xytext=(0, 8), textcoords='offset points')

Fill the dots with your data, functions, and attributes.
 

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