Intersection of two or more DataFrame columns

Question

I am trying to find the intersect of three dataframes, however the pd.intersect1d does not like to use three dataframes.

import numpy as np
imp         


        

Answer 1

inclusive_list = np.intersect1d(np.intersect1d(df1.columns, df2.columns), df3.columns)

Note that the arguments passed to np.intersect1d (https://docs.scipy.org/doc/numpy-1.15.0/reference/generated/numpy.intersect1d.html) are expected to be two arrays (ar1 and ar2).

Passing 3 arrays means that the assume_unique variable within the function is being set as an array (expected to be a bool).

You can also use simple native python set methods if you don't want to use numpy

inclusive_list = set(df1.columns).intersection(set(df2.columns)).intersection(set(df3.columns))