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ENH: Cast ndarray-like datetime64 arrays to Index properly #7468

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Merged
merged 1 commit into from
Jun 16, 2014
Merged

ENH: Cast ndarray-like datetime64 arrays to Index properly #7468

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3 changes: 3 additions & 0 deletions pandas/core/index.py
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Original file line number Diff line number Diff line change
Expand Up @@ -148,6 +148,9 @@ def __new__(cls, data, dtype=None, copy=False, name=None, fastpath=False,
if copy:
subarr = subarr.copy()

elif hasattr(data, '__array__'):
return Index(np.asarray(data), dtype=dtype, copy=copy, name=name,
**kwargs)
elif np.isscalar(data):
cls._scalar_data_error(data)
else:
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15 changes: 10 additions & 5 deletions pandas/tests/test_index.py
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Original file line number Diff line number Diff line change
Expand Up @@ -177,12 +177,17 @@ def test_constructor_ndarray_like(self):
# it should be possible to convert any object that satisfies the numpy
# ndarray interface directly into an Index
class ArrayLike(object):
def __init__(self, array):
self.array = array
def __array__(self, dtype=None):
return np.arange(5)
return self.array

expected = pd.Index(np.arange(5))
result = pd.Index(ArrayLike())
self.assertTrue(result.equals(expected))
for array in [np.arange(5),
np.array(['a', 'b', 'c']),
pd.date_range('2000-01-01', periods=3).values]:
expected = pd.Index(array)
result = pd.Index(ArrayLike(array))
self.assertTrue(result.equals(expected))

def test_index_ctor_infer_periodindex(self):
from pandas import period_range, PeriodIndex
Expand Down Expand Up @@ -447,7 +452,7 @@ def test_intersection(self):
assertRaisesRegexp(TypeError, "iterable", first.intersection, 0.5)

idx1 = Index([1, 2, 3, 4, 5], name='idx')
# if target has the same name, it is preserved
# if target has the same name, it is preserved
idx2 = Index([3, 4, 5, 6, 7], name='idx')
expected2 = Index([3, 4, 5], name='idx')
result2 = idx1.intersection(idx2)
Expand Down