Saving Dataframe as a table

  • ModelData2=ModelData.toPandas()  #CONVERTS SPARK DF TO PANDAS DF
  • table_model = spark.createDataFrame(ModelData2) # CREATES SPARK DF
  • table_model.write.saveAsTable(‘LIBRARYPATH.model_data’) #SAVES AS TABLE


new_df = transformed_chrn2[[‘Var1’, ‘Var2’, ‘Var3’, ‘Var4′,’Var5’]]

table_df = spark.createDataFrame(new_df)



Author: Ajay Ohri

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