Python type checking: int vs int64, float vs float64

Question

In Python, I want to check if certain field values in a dataframe are the correct type. So, I've tried like this:

t2check = isinstance(df['T2'][0], float)
print("t2check={}  type={}".format(t2check, type(df['T2'][0])))

the return I got was t2check=True type=

so: on a check for "float", it returned numpy.float64, and said that was equal. OK.

HOWEVER, on a similar check for an integer value, I get this:

    passcheck = isinstance(df['Pass'][0], int)
    print("passcheck={}  type={}".format(passcheck, type(df['Pass'][0])))

When I run that, I get passcheck=False type=

Here, it says the field value is NOT an "int" - but that it's a numpy.int64.

It doesn't match for me. Why is it loosely equating for floats, and being tight with the definition for int?

I also tried passcheck64 = isinstance(df['Pass'][0], numpy.int64) but that returned False as well...