import numpy as np import pandas as pd cols = ['var1', 'var2', 'var3', 'var4'] df1 = pd.DataFrame(np.random.randn(4, 4), columns=cols) df2 = pd.DataFrame(np.arange(16).reshape(4, 4), columns=cols) df1 var1 var2 var3 var4 0 -0.083782 0.964222 0.832664 -0.528963 1 0.017696 0.144067 0.093823 0.147779 2 -0.082808 -0.893112 -0.477983 -0.623641 3 0.581019 -1.603081 -0.717007 0.849844 df2 var1 var2 var3
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