How to combine numerical and categorical columns in spark pca

vectorAssembler = VectorAssembler(inputCols = ['Clump_Thickness', 'Cell_Size', 'Cell_Shape',\
'Marginal_Adhesion', 'Epithelial_Cell_Size', 'Normal_Nucleoli', 'Bland_Chromatin',\
'Bare_Nuclei', 'Mitoses', 'Class'], outputCol = 'features')

transformed_df = vectorAssembler.transform(df)
transformed_df=transformed_df.select("features")
transformed_df.show()