Correct way to check if Pandas DataFrame index is a certain type (DatetimeIndex)

Question

In the code below I want to check if the index in the dataframes is of type DatetimeIndex. Is this a correct way of doing this? Is there a better way to do this than with the if statement? It seems straight-forward, but wonder if I'm missing something.

I want to do this because I foresee that users occassionally may not read in the data with the corresponding date information.

import pandas as pd
data = {'x' : [1,2,3],
    'y' : [4,5,6]}

index = pd.date_range("2014-1-1", periods=3, freq="D")

Case 1

df = pd.DataFrame(data)
type(df.index) == pd.tseries.index.DatetimeIndex

Correctly returns: False

Case 2

df = pd.DataFrame(data, index=index)
type(df.index) == pd.tseries.index.DatetimeIndex

Correctly returns: True

Thanks in advance. And I hope that this isn't too trivial.

Answer 1

As of 2021, here is the up to date way of checking this:

>>> df.index.inferred_type == "datetime64"
>>> True

So you could add something like this into your application:

assert df.index.inferred_type == 'datetime64', "must have a datetime index"

Cheers