Why Won\'t Seaborn.displot() Create Side-by-Side Histograms?

seaborn.displot is Not Plotting within Defined Subplots

When using seaborn.displot() to create two side-by-side histograms, you may encounter an unexpected outcome where the plots are rendered separately on different lines. This behavior differs from other seaborn functions like violinplot() that produce the expected side-by-side plots.

The Deprecation of seaborn.distplot()

The reason for this discrepancy lies in the deprecation of seaborn.distplot in version 0.11. It has been replaced by:

• displot(): A figure-level function providing flexibility in plot type but lacking the ax parameter, making it incompatible with matplotlib.pyplot.subplots.
• histplot(): An axes-level function specifically designed for histograms, including kernel density smoothing, which does have the ax parameter and can be used with matplotlib.pyplot.subplots.

Solution: Using seaborn.histplot()

To resolve the issue and achieve the desired side-by-side histograms, replace displot() with histplot(). This function supports the ax parameter, allowing you to specify the axes on which the plots will be rendered.

<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>

Handle Multiple DataFrames

When working with multiple dataframes, you can combine them using pd.concat and add a new 'source' column to identify the data sources. This column can then be used for row=, col=, or hue= arguments.

The above is the detailed content of Why Won\'t Seaborn.displot() Create Side-by-Side Histograms?. For more information, please follow other related articles on the PHP Chinese website!