Element-wise logical OR in Pandas

I would like the element-wise logical OR operator. I know "or" itself is not what I am looking for.

I am aware that AND corresponds to & and NOT, ~. But what about OR?

Solution 1:

The corresponding operator is |:

 df[(df < 3) | (df == 5)]

would elementwise check if value is less than 3 or equal to 5.

If you need a function to do this, we have np.logical_or. For two conditions, you can use

df[np.logical_or(df<3, df==5)]

Or, for multiple conditions use the logical_or.reduce,

df[np.logical_or.reduce([df<3, df==5])]

Since the conditions are specified as individual arguments, parentheses grouping is not needed.

More information on logical operations with pandas can be found here.

Solution 2:

To take the element-wise logical OR of two Series a and b just do

a | b