python - In Pandas, how to filter a Series based on the type of the values?

Question

Given a Series like

import pandas as pd

s = pd.Series(['foo', 'bar', 42])

I would like to obtain a 'sub-series' pd.Series(['foo', 'bar']) in which all values are strings. I've tried Boolean indexing like so:

s[isinstance(s, str)]

but this gives a

KeyError: False

In my search for suitable methods so far I came across select, but this imposes a criterion on the labels, not the values. How can I filter based on (the type of) the values in this case?

Answer 1

Use apply or list comprehension:

s[s.apply(lambda x: isinstance(x, str))]

Same as, thanks Jon Clements?:

s[s.apply(isinstance, args=(str,))]

---

s[[isinstance(x, str) for x in s]]

All return:

0    foo
1    bar
dtype: object

EDIT:

This is not recommended, thanks c???s????:

s[s.apply(type) == str]