Why Doesn\'t Seaborn Displot Work with Matplotlib Subplots?

Error: seaborn Displot Not Plotting Within Subplots

Seaborn displot fails to generate side-by-side plots as expected when used with matplotlib.pyplot.subplots. This error arises because displot is a figure-level function that lacks the 'ax' parameter required for subplots.

Solution:

To resolve the issue and display two plots on the same line, it is necessary to use the appropriate axes-level plot that supports the 'ax' parameter. In this case, histplot is the preferred option. Here's the corrected code:

<code class="python">import seaborn as sns
import matplotlib.pyplot as plt

fig, (ax1, ax2) = plt.subplots(1, 2)

sns.histplot(x=X_train['Age'], hue=y_train, ax=ax1)
sns.histplot(x=X_train['Fare'], hue=y_train, ax=ax2)</code>

Alternative Approaches:

If you prefer to use displot, you can restructure your data into a long format using pd.melt and apply displot to the transformed dataframe.

<code class="python">dfl = X_train.melt(id_vars='passenger', value_vars=['Age', 'Fare'], var_name='category', value_name='value')

sns.displot(data=dfl, x='value', col='category', hue='passenger')</code>

Additional Considerations:

For axes-level plots with multiple dataframes, use pd.concat to combine them and assign a unique 'source' column to identify the origin of each data point. This column can then be used for row=, col=, or hue=.

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