Pandas - check if a string column in one dataframe contains a pair of strings from another dataframe

Question

This question is based on another question I asked, where I didn\'t cover the problem entirely: Pandas - check if a string column contains a pair of strings

This is

Answer 1

This is my answer using comprehensions and zip
Note, this checks substrings in df1

c = df1.consumption.values.tolist()
f = df2.food.values.tolist()
a = df2.creature.values.tolist() 

check = np.array([[fd in cs and cr in cs for fd, cr in zip(f, a)] for cs in c])

check.any(1)

array([ True, False,  True, False, False,  True, False,  True, False], dtype=bool)

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This is a pandas version of what @MaxU did. Respect what he did... it is awesome!

X = df1.consumption.str.get_dummies(' ')
Y = (df2.creature + ' ' + df2.food).str.get_dummies(' ') \
    .reindex_axis(X.columns, 1, fill_value=0)

# This is where you can see which rows from `df2` (columns)
# matched with which rows from `df1` (rows) 
XY = X.dot(Y.T)

print(XY)

   0  1  2  3
0  2  1  0  0
1  1  1  1  0
2  0  0  2  1
3  0  1  1  1
4  0  0  0  0
5  1  2  0  0
6  0  0  0  1
7  0  0  1  2
8  1  0  0  0

# return the desired `True`s and `False`s

XY.gt(1).any(1)

0     True
1    False
2     True
3    False
4    False
5     True
6    False
7     True
8    False
dtype: bool

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naive testing