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def add_interactions(df):
# Get feature names
combos = list(combinations(list(df.columns), 2))
colnames = list(df.columns) + ['_'.join(x) for x in combos]

# Find interactions
poly = PolynomialFeatures(interaction_only=True, include_bias=False)
df = poly.fit_transform(df)
df = pd.DataFrame(df)
df.columns = colnames

# Remove interaction terms with all 0 values            
noint_indicies = [i for i, x in enumerate(list((df == 0).all())) if x]
df = df.drop(df.columns[noint_indicies], axis=1)

return df

X = add_interactions(X)
print(X.head())