8000 NumPyBackedExtensionArray by TomAugspurger · Pull Request #24227 · pandas-dev/pandas · GitHub
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NumPyBackedExtensionArray #24227

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Merged
merged 16 commits into from
Dec 28, 2018
Merged

NumPyBackedExtensionArray #24227

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a810bd2
Squashed keepdims
TomAugspurger Dec 20, 2018
e02f3dd
API: .array is always an ExtensionArray
TomAugspurger Dec 20, 2018
f737087
Merge remote-tracking branch 'upstream/master' into numpy-ea
TomAugspurger Dec 21, 2018
1e527da
Merge remote-tracking branch 'upstream/master' into numpy-ea
TomAugspurger Dec 26, 2018
2c615b0
move tests
TomAugspurger Dec 26, 2018
945d1e0
Merge remote-tracking branch 'upstream/master' into numpy-ea
TomAugspurger Dec 27, 2018
1f8e540
Merge remote-tracking branch 'upstream/master' into numpy-ea
TomAugspurger Dec 27, 2018
7efafa6
use to_numpy
TomAugspurger Dec 27, 2018
bc50dc0
Move to internals
TomAugspurger Dec 27, 2018
d38fd19
Remove check
TomAugspurger Dec 27, 2018
bd70a19
fixup
TomAugspurger Dec 28, 2018
7e3ff59
wip
TomAugspurger Dec 28, 2018
cac2a8b
Added constructor and setitem and dtype tests
TomAugspurger Dec 28, 2018
df02695
Reorganize
TomAugspurger Dec 28, 2018
b470bd3
Merge remote-tracking branch 'upstream/master' into numpy-ea
TomAugspurger Dec 28, 2018
35f50a5
py2 compat
TomAugspurger Dec 28, 2018
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wip
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@TomAugspurger
TomAugspurger committed Dec 28, 2018
commit 7e3ff59770104f15cc6f7240e76451fb1a20c6a3
20 changes: 19 additions & 1 deletion pandas/tests/arrays/test_numpy.py
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Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,8 @@
import pandas.util._test_decorators as td

import pandas as pd
from pandas.core.arrays import PandasArray
from pandas.arrays import PandasArray
from pandas.core.arrays.numpy_ import PandasDtype
import pandas.util.testing as tm


Expand Down Expand Up @@ -96,3 +97,20 @@ def test_series_constructor_with_astype():
result = pd.Series(PandasArray(ndarray), dtype="float64")
expected = pd.Series([1.0, 2.0, 3.0], dtype="float64")
tm.assert_series_equal(result, expected)


@pytest.mark.parametrize('dtype, expected', [
('bool', True),
('int', True),
('uint', True),
('float', True),
('complex', True),
('str', False),
('bytes', False),
('datetime64[ns]', False),
('object', False),
('void', False)
])
def test_is_numeric(dtype, expected):
dtype = PandasDtype(dtype)
assert dtype._is_numeric is expected
0