DOC Replacing swarmplot with stripplot to avoid seaborn warning (scikit-learn#19195)

abhinavtps · jeremiedbb · commit 9bcc6877ee82 · 2021-01-19T11:28:01.000+01:00
diff --git a/examples/inspection/plot_linear_model_coefficient_interpretation.py b/examples/inspection/plot_linear_model_coefficient_interpretation.py
@@ -325,7 +325,7 @@
     columns=feature_names
 )
 plt.figure(figsize=(9, 7))
-sns.swarmplot(data=coefs, orient='h', color='k', alpha=0.5)
+sns.stripplot(data=coefs, orient='h', color='k', alpha=0.5)
 sns.boxplot(data=coefs, orient='h', color='cyan', saturation=0.5)
 plt.axvline(x=0, color='.5')
 plt.xlabel('Coefficient importance')
@@ -376,7 +376,7 @@
     columns=feature_names[:-1]
 )
 plt.figure(figsize=(9, 7))
-sns.swarmplot(data=coefs, orient='h', color='k', alpha=0.5)
+sns.stripplot(data=coefs, orient='h', color='k', alpha=0.5)
 sns.boxplot(data=coefs, orient='h', color='cyan', saturation=0.5)
 plt.axvline(x=0, color='.5')
 plt.title('Coefficient importance and its variability')
@@ -469,7 +469,7 @@
     columns=feature_names
 )
 plt.figure(figsize=(9, 7))
-sns.swarmplot(data=coefs, orient='h', color='k', alpha=0.5)
+sns.stripplot(data=coefs, orient='h', color='k', alpha=0.5)
 sns.boxplot(data=coefs, orient='h', color='cyan', saturation=0.5)
 plt.axvline(x=0, color='.5')
 plt.title('Coefficient variability')
