熊猫-> GroupBy通过两列将大小添加为第三

Question

What is the equivalent in pandas for the SQL statement:

SELECT key1,key2,count(1) FROM mytable GROUP BY key1,key2

Please notice: i can still access key1 and key2 independently as i iterate line-by-line... I couldn't manage to it via

myDataFrame.groupBy(by=['key1','key2']).size()

The above code prints the keys and the count of occurrences but i can't access the keys individually

How does that query translates to pandas?

Answer 1

添加reset_index()

myDataFrame.groupBy(by=['key1','key2']).size().reset_index()