list of columns in common in two pandas dataframes

Question

I\'m considering merge operations on dataframes each with a large number of columns. Don\'t want the result to have two columns with the same name. Am trying to view a list

Answer 1

Use numpy.intersect1d or intersection:

a = np.intersect1d(df2.columns, df1.columns)
print (a)
['B' 'C']

a = df2.columns.intersection(df1.columns)
print (a)
Index(['B', 'C'], dtype='object')

Alternative syntax for the latter option:

df1.columns & df2.columns