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ENH: Add MultiIndex.dtypes #37073

Merged
merged 15 commits into from
Dec 11, 2020
Merged
1 change: 1 addition & 0 deletions doc/source/reference/indexing.rst
Original file line number Diff line number Diff line change
Expand Up @@ -290,6 +290,7 @@ MultiIndex properties
MultiIndex.codes
MultiIndex.nlevels
MultiIndex.levshape
MultiIndex.dtypes

MultiIndex components
~~~~~~~~~~~~~~~~~~~~~
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2 changes: 1 addition & 1 deletion doc/source/whatsnew/v1.3.0.rst
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Expand Up @@ -19,7 +19,7 @@ Enhancements
Other enhancements
^^^^^^^^^^^^^^^^^^

-
- Added :meth:`MultiIndex.dtypes` (:issue:`37062`)
-

.. ---------------------------------------------------------------------------
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9 changes: 9 additions & 0 deletions pandas/core/indexes/multi.py
Original file line number Diff line number Diff line change
Expand Up @@ -701,6 +701,15 @@ def array(self):
"'MultiIndex.to_numpy()' to get a NumPy array of tuples."
)

@cache_readonly
def dtypes(self) -> "Series":
"""
Return the dtypes as a Series for the underlying MultiIndex
"""
from pandas import Series

return Series({level.name: level.dtype for level in self.levels})

@property
def shape(self) -> Shape:
"""
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18 changes: 18 additions & 0 deletions pandas/tests/indexes/multi/test_get_set.py
Original file line number Diff line number Diff line change
@@ -1,6 +1,8 @@
import numpy as np
import pytest

from pandas.core.dtypes.dtypes import DatetimeTZDtype

import pandas as pd
from pandas import CategoricalIndex, MultiIndex
import pandas._testing as tm
Expand All @@ -27,6 +29,22 @@ def test_get_level_number_integer(idx):
idx._get_level_number("fourth")


def test_get_dtypes():
# Test MultiIndex.dtypes (# Gh37062)
idx_multitype = MultiIndex.from_product(
[[1, 2, 3], ["a", "b", "c"], pd.date_range("20200101", periods=2, tz="UTC")],
names=["int", "string", "dt"],
)
expected = pd.Series(
{
"int": np.dtype("int64"),
"string": np.dtype("O"),
"dt": DatetimeTZDtype(tz="utc"),
}
)
tm.assert_series_equal(expected, idx_multitype.dtypes)


def test_get_level_number_out_of_bounds(multiindex_dataframe_random_data):
frame = multiindex_dataframe_random_data

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