Customizing annotation with Seaborn's FacetGrid

MatplotlibPythonData Visualization

To customizing annotation with seaborn's face grid, we can take following steps −

  • Set the figure size and adjust the padding between and around the subplots.
  • Create a data frame with col1 and col2 columns.
  • Multi-plot grid for plotting conditional relationships.
  • Apply a plotting function to each facet's subset of the data.
  • Set the title of each grids.
  • To display the figure, use show() method.

Example

import pandas as pd
import seaborn as sns
from matplotlib import pyplot as plt

plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True

df = pd.DataFrame({'col1': [3, 7, 8, 1], 'col2': ["three", "seven", "one", "zero"]})
g = sns.FacetGrid(data=df, col='col2', height=3.5)
g.map(plt.hist, 'col1', color='red', lw=0)
g.set_titles('{col_name}')

plt.show()

Output

raja
Published on 03-Jun-2021 09:50:37
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