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Grouping Series by its values in Pandas
schedule Aug 12, 2023
Last updated local_offer
Tags Python●Pandas
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To group the values of a Series, use the groupby(~) method:
Here, note the following:
we see the value 6 corresponding to the index 3 because we are summing up all occurrences of the value of 3 (i.e. 3+3=6).
the syntax
s.groupby(s)is slightly awkward - but we need to pass insas the argument since thegroupby(~)groups by the index instead of values by default.the
groupby(~)returns aSeriesGroupByobject, which has aggregate functions such assum().
Published by Isshin Inada
Edited by 0 others
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