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.

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  3pos = 3
colname = df.columns[pos]
print (colname)
D

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