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python pandas, DF. groupby(). agg(), column reference in agg() 71 agg is the same as aggregate It's callable is passed the columns (Series objects) of the DataFrame, one at a time You could use idxmax to collect the index labels of the rows with the maximum count:
Get unique values using STRING_AGG in SQL Server Another possibility to get unique strings from STRING_AGG would be to perform these three steps after fetching the comma separated string: Split the string (STRING_SPLIT)
How to get groupby sum of multiple columns - Stack Overflow index col1 col2 col3 col4 col5 0 a c 1 2 f 1 a c 1 2 f 2 a d 1 2 f 3 b d 1 2 g 4 b e 1 2 g 5 b e 1 2 g I want to group by col1 and col2 and get the sum() of col3 and col4 col5 can be dropped since the data can not be aggregated Here is what the output should look like I am interested in having both col3 and col4 in the resulting dataframe It doesn't really matter if col1 and col2 are part