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ENH: Add support for DataFrame(ExtensionArray) #30305

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Merged
merged 2 commits into from
Dec 18, 2019
Merged

ENH: Add support for DataFrame(ExtensionArray) #30305

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35d502f
ENH: Add support for DataFrame(Categorical) (#11363)
proost Dec 17, 2019
b2bf79a
Merge branch 'master' into ENH-Dataframe-categorical-constructor
proost Dec 18, 2019
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1 change: 1 addition & 0 deletions doc/source/whatsnew/v1.0.0.rst
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Expand Up @@ -206,6 +206,7 @@ Other enhancements
now preserve those data types with pyarrow >= 1.0.0 (:issue:`20612`).
- The ``partition_cols`` argument in :meth:`DataFrame.to_parquet` now accepts a string (:issue:`27117`)
- :func:`to_parquet` now appropriately handles the ``schema`` argument for user defined schemas in the pyarrow engine. (:issue: `30270`)
- DataFrame constructor preserve `ExtensionArray` dtype with `ExtensionArray` (:issue:`11363`)


Build Changes
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2 changes: 1 addition & 1 deletion pandas/core/frame.py
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Expand Up @@ -450,7 +450,7 @@ def __init__(

# For data is list-like, or Iterable (will consume into list)
elif isinstance(data, abc.Iterable) and not isinstance(data, (str, bytes)):
if not isinstance(data, abc.Sequence):
if not isinstance(data, (abc.Sequence, ExtensionArray)):
data = list(data)
if len(data) > 0:
if is_list_like(data[0]) and getattr(data[0], "ndim", 1) == 1:
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16 changes: 16 additions & 0 deletions pandas/tests/frame/test_constructors.py
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Expand Up @@ -25,6 +25,7 @@
date_range,
isna,
)
from pandas.arrays import IntervalArray, PeriodArray
from pandas.core.construction import create_series_with_explicit_dtype
import pandas.util.testing as tm

Expand Down Expand Up @@ -2396,6 +2397,21 @@ class List(list):
result = DataFrame(List([List([1, 2, 3]), List([4, 5, 6])]))
tm.assert_frame_equal(result, expected)

@pytest.mark.parametrize(
"extension_arr",
[
Categorical(list("aabbc")),
pd.SparseArray([1, np.nan, np.nan, np.nan]),
IntervalArray([pd.Interval(0, 1), pd.Interval(1, 5)]),
PeriodArray(pd.period_range(start="1/1/2017", end="1/1/2018", freq="M")),
],
)
def test_constructor_with_extension_array(self, extension_arr):
# GH11363
expected = DataFrame(Series(extension_arr))
result = DataFrame(extension_arr)
tm.assert_frame_equal(result, expected)


class TestDataFrameConstructorWithDatetimeTZ:
def test_from_dict(self):
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