Top "Split-apply-combine" questions

Split-apply-combine operations refer to a common type data manipulation where a function/statistic is computed on several chunks of data independently.

python pandas, DF.groupby().agg(), column reference in agg()

On a concrete problem, say I have a DataFrame DF word tag count 0 a S 30 1 the S 20 2 a T 60 3 an …

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python pandas group-by split-apply-combine
ddply + summarize for repeating same statistical function across large number of columns

Ok, second R question in quick succession. My data: Timestamp St_01 St_02 ... 1 2008-02-08 00:00:00 26.020 25.840 ... 2 2008-02-08 00:10:00 25.985 25.790 ... 3 2008-02-08 00:20:00 25.930 25.765 ... 4 2008-02-08 00:30:00 25.925 25.730 ... 5 2008…

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r multiple-columns plyr idioms split-apply-combine
pandas: get all groupby values in an array

I'm sure this has been asked before, sorry if duplicate. Suppose I have the following dataframe: df = pd.DataFrame({'key': […

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pandas pandas-groupby split-apply-combine