get the dtype of a pandas multiindex

Use get_level_values:

df.index.get_level_values(0).dtype
dtype('int64')

and

df.index.get_level_values(1).dtype
dtype('int64')

For names use:

df.index.names
FrozenList(['i1', 'i2'])

Based on the great answer by @Scott Boston, I wrote this function for a quick check for the dtypes of all the levels of multiindex dfs and just thought I'd share:

def index_level_dtypes(df):
    return [f"{df.index.names[i]}: {df.index.get_level_values(n).dtype}"
            for i, n in enumerate(df.index.names)]

pandas >= 1.3 [est]

Coming soon to a distro near you, you MultiIndex.dtypes will soon be available:

df.index.dtypes

i1    int64
i2    int64
dtype: object 

---

For older versions, if your index is not too large, you can first convert to a frame using to_frame, then query the dtypes:

df.index.to_frame().dtypes

i1    int64
i2    int64
dtype: object