All we need is an easy explanation of the problem, so here it is.
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?
How to solve :
I know you bored from this bug, So we are here to help you! Take a deep breath and look at the explanation of your problem. We have many solutions to this problem, But we recommend you to use the first method because it is tested & true method that will 100% work for you.
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
Or, for multiple conditions use the
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
b just do
a | b
Note: Use and implement method 1 because this method fully tested our system.
Thank you 🙂