Element-wise logical OR in Pandas

Question

I am aware that AND corresponds to `&` and NOT, `~`. What is the element-wise logical OR operator? I know "or" itself is not what I am looking for.

Accepted Answer

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