code: def test_plot_pdp(precalculated_catboost_regression_explainer):
      fig = precalculated_catboost_regression_explainer.plot_pdp("Age")
      assert isinstance(fig, go.Figure)
  
      fig = precalculated_catboost_regression_explainer.plot_pdp("Sex")
      assert isinstance(fig, go.Figure)
  
      fig = precalculated_catboost_regression_explainer.plot_pdp(
          "Sex", index=0
      )
      assert isinstance(fig, go.Figure)
  
      fig = precalculated_catboost_regression_explainer.plot_pdp(
          "Age", index=0
      )
      assert isinstance(fig, go.Figure)
  
      fig = precalculated_catboost_regression_explainer.plot_pdp(
          "Age",
          X_row=precalculated_catboost_regression_explainer.X.iloc[[0]],
      )
      assert isinstance(fig, go.Figure)
  
imports: import pandas
  import numpy
  from pandas.api.types import is_categorical_dtype, is_numeric_dtype
  import plotly.graph_objs
label_desc: Use image node_id 28 for calling a global function with example usage: test_plot_pdp(precalculated_catboost_regression_explainer) without return types