Retrieve name of column from its Index in Pandas

Question

I have a pandas dataframe and a numpy array of values of that dataframe. I have the index of a specific column and I already have the row index of an important value. Now I need to get the column name of that particular value from my dataframe.

After searching through the documentations, I found out that I can do the opposite but not what I want.

Answer 1

I think you need index columns names by position (python counts from 0, so for fourth column need 3):

colname = df.columns[pos] 

Sample:

df = pd.DataFrame({'A':[1,2,3],                    'B':[4,5,6],                    'C':[7,8,9],                    'D':[1,3,5],                    'E':[5,3,6],                    'F':[7,4,3]})  print (df)    A  B  C  D  E  F 0  1  4  7  1  5  7 1  2  5  8  3  3  4 2  3  6  9  5  6  3  pos = 3 colname = df.columns[pos] print (colname) D 

---

pos = [3,5] colname = df.columns[pos] print (colname) Index(['D', 'F'], dtype='object')