extract column value based on another column pandas dataframe

Question

I am kind of getting stuck on extracting value of one variable conditioning on another variable  For example  the following dataframe   A  B p1 1 p1 2 p3 3 p2 4   How can I get the value of A when B 3  Every time when I extracted the value of A  I got an object  not a string

User · Answer

Use df df  B    3   A   values if you just want item itself without the brackets

User · Answer

It s easier for me to think in these terms  but borrowing from other answers   The value you want is located in the series  df  column    row    where column and row point to the value you want returned   For your example  column is  A  and for row you use a mask  df  B      3  To get the value from the series there are several options  df  A   df  B      3  values 0  df  A   df  B      3  iloc 0  df  A   df  B      3  to numpy   0

User · Answer

You could use loc to get series which satisfying your condition and then iloc to get first element   In  2   df Out 2       A  B 0  p1  1 1  p1  2 2  p3  3 3  p2  4  In  3   df loc df  B      3   A   Out 3   2    p3 Name  A  dtype  object  In  4   df loc df  B      3   A   iloc 0  Out 4    p3

User · Answer

df df  B    3   A    assuming df is your pandas DataFrame

User · Answer

male avgtip  tips data loc tips data  sex       Male    tip    mean     I have also worked on this clausing and extraction operations for my assignment

User · Answer

You can try query  which is less typing   df query  B  3    A

[python] extract column value based on another column pandas dataframe

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