Python pd using a variable with column name in groupby dot notation

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Multi tool use


Python pd using a variable with column name in groupby dot notation



I am trying to use a list that holds the column names for my groupby notation. My end goal is to loop through multiple columns and run the calculation without having to re-write the same line multiple times. Is this possible?


a_list = list(['','BTC_','ETH_'])
a_variable = ('{}ClosePrice'.format(a_list[0]))

proccessing_data['RSI'] = proccessing_data.groupby('Symbol').**a_variable**.transform(lambda x: talib.RSI(x, timeperiod=14))



this is the error I currently get because it thinks I want the column 'a_variable' which doesn't exist.


AttributeError: 'DataFrameGroupBy' object has no attribute 'a_variable'





use df[a_variable] instead of df.a_variable
– RafaelC
Jul 1 at 18:16



df[a_variable]


df.a_variable





the name of the library is pandas. Please tag carefully next time. the [pd] tag is for Placement Driver.
– juanpa.arrivillaga
Jul 1 at 18:28




1 Answer
1



Apparently this notation below works:


proccessing_data['RSI'] = proccessing_data.groupby('Symbol')[('{}ClosePrice'.format(a_list[0]))].transform(lambda x: talib.RSI(x, timeperiod=14))






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