Pyspark List Of Columns
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Pyspark List Of Columns
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The filter returns the list of desired columns list is evaluated sss filter columns lambda ss columns to keep list sss the list of desired columns is unpacked as arguments to dataframe select function that return dataset containing only columns in the list dfss ss select to keep dfss columns The result it is pretty easy as you can first collect the df with will return list of Row type then. row_list = df.select('sno_id').collect() then you can iterate on row type to convert column into list . sno_id_array = [ row.sno_id for row in row_list] sno_id_array ['123','234','512','111'] Using Flat map and more optimized solution
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Pyspark List Of ColumnsUse * before columns to unnest columns list and use in .select. columns = ['home','house','office','work'] #select the list of columns df_tables_full.select('time_event','kind','schema','table',*columns).show() df_tables_full = df_tables_full.select('time_event','kind','schema','table',*columns) Pyspark sql DataFrame columns property DataFrame columns Retrieves the names of all columns in the DataFrame as a list The order of the column names in the list reflects their order in the DataFrame
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