I have two pandas dataframes
df1 = A B C 1 2 3 2 3 4 3 4 5
df2 = X Y Z
1 2 3
2 3 4
3 4 5
I need to map based on data If data is same then map column namesenter code here
Output = col1 col2
A X
B Y
C Z
I cannot find any built-in function to support this, hence simply loop over all columns:
pairs = []
for col1 in df1.columns:
for col2 in df2.columns:
if df1[col1].equals(df2[col2]):
pairs.append((col1, col2))
output = pandas.DataFrame(pairs, columns=['col1', 'col2'])