chrispijo

Ok. Good to know. Thanks for the quick response.

I do not yet know how to link this pull request to the existing issue. But it concerns issue #39.

I was indeed looking at every element such that it returns validation messages for the specific cells that fail. If a series is object, it is clear that there are...

I looked at your vectorization remark but I do not know how to streamline it more. It is now encorporated as `series.apply(type).isin(self.allowed_types)`. It is unclear how to replace the `apply`-loop...

A new version is pushed. I made IsTypeValidation how I think it is best (to my knowledge). IsDtypeValidation is changed to allow for multiple dtypes. The test-file test_validation.py returns errors....

> I tried using this fix and I replaced my use of IsDtypeValidation with IsTypeValidation. I left the argument as a string with the type name, as in IsTypeValidation('int64'). I...

> Also, this still seems to give me the same error I got before with the following example: > > ``` > series = pd.Series([1,2,3,4]).astype('Int64') > v = IsDtypeValidation('Int64') >...

I would also like this feature