Return dataframe subset based on a list of boolean values

Question

I\'m trying to slice a dataframe based on list of values, how would I go about this?

Say I have an expression or a list l = [0,1,0,0,1,1,0,0,0,1]

Ho

Answer 1

yet another "creative" approach:

In [181]: a = np.array(lst)

In [182]: df.query("index * @a > 0")
Out[182]:
   0  1  2
1  1  5  5
4  0  2  0
5  4  9  9
9  2  2  5

or much better variant from @ayhan:

In [183]: df.query("@a != 0")
Out[183]:
   0  1  2
1  1  5  5
4  0  2  0
5  4  9  9
9  2  2  5

PS i've also borrowed @Ayhan's setup