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?
deinonychusaur
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.
To take the element-wise logical OR of two Series a and b just do
a | b
来源：https://stackoverflow.com/questions/24775648/element-wise-logical-or-in-pandas