Dropping a nested column from Spark DataFrame. Solution: It is just a programming exercise but you can try something like this: import org.apache.spark.sql.
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dataframe-nested-column
Nesting creates a list-column of data frames; unnesting flattens it back out into ... df1 is a nested data frame (df1. Using dict comprehension with nested groupby: ... 'maingroup': 'first'}) df = df.groupby(['maingroup']).agg(dict) df.to_json(orient='columns'). 3925e8d270
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