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?
You can use this ‘ | ’ operator for pandas or:
df[(df < 12 xss=removed>
This will check element-wise if value is less than 12 or equal to 15.
You can also use this np.logical_or function.
For multiple conditions use the logical_or.reduce: