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How to color a Seaborn boxplot based on DataFrame column name in Matplotlib?
To color a Seaborn boxplot based on dataframe column name, we can take the following steps −
- Set the figure size and adjust the padding between and around the subplots.
- Make a Pandas dataframe with two columns, col1 and col2.
- Make a boxplot with horizontal orientation.
- Get the boxes artists.
- Iterate the boxes and set the facecolor of the box.
- To display the figure, use show() method.
Example
import seaborn as sns import matplotlib.pyplot as plt import pandas as pd plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True df = pd.DataFrame( [[2, 4], [7, 2] ], columns=['col1', 'col2']) ax = sns.boxplot(data=df, orient='h') boxes = ax.artists for i, box in enumerate(boxes): if 'col1' in df.columns[i]: box.set_facecolor('r') else: box.set_facecolor('b') plt.show()
Output
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