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BF(TST): use = (native) instead of < (little endian) for target data types #14832

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Merged
merged 1 commit into from
Dec 9, 2016
Merged

BF(TST): use = (native) instead of < (little endian) for target data types #14832

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14 changes: 7 additions & 7 deletions pandas/io/tests/parser/common.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1453,7 +1453,7 @@ def test_as_recarray(self):
FutureWarning, check_stacklevel=False):
data = 'a,b\n1,a\n2,b'
expected = np.array([(1, 'a'), (2, 'b')],
dtype=[('a', '<i8'), ('b', 'O')])
dtype=[('a', '=i8'), ('b', 'O')])
out = self.read_csv(StringIO(data), as_recarray=True)
tm.assert_numpy_array_equal(out, expected)

Expand All @@ -1462,7 +1462,7 @@ def test_as_recarray(self):
FutureWarning, check_stacklevel=False):
data = 'a,b\n1,a\n2,b'
expected = np.array([(1, 'a'), (2, 'b')],
dtype=[('a', '<i8'), ('b', 'O')])
dtype=[('a', '=i8'), ('b', 'O')])
out = self.read_csv(StringIO(data), as_recarray=True, index_col=0)
tm.assert_numpy_array_equal(out, expected)

Expand All @@ -1471,7 +1471,7 @@ def test_as_recarray(self):
FutureWarning, check_stacklevel=False):
data = '1,a\n2,b'
expected = np.array([(1, 'a'), (2, 'b')],
dtype=[('a', '<i8'), ('b', 'O')])
dtype=[('a', '=i8'), ('b', 'O')])
out = self.read_csv(StringIO(data), names=['a', 'b'],
header=None, as_recarray=True)
tm.assert_numpy_array_equal(out, expected)
Expand All @@ -1482,15 +1482,15 @@ def test_as_recarray(self):
FutureWarning, check_stacklevel=False):
data = 'b,a\n1,a\n2,b'
expected = np.array([(1, 'a'), (2, 'b')],
dtype=[('b', '<i8'), ('a', 'O')])
dtype=[('b', '=i8'), ('a', 'O')])
out = self.read_csv(StringIO(data), as_recarray=True)
tm.assert_numpy_array_equal(out, expected)

# overrides the squeeze parameter
with tm.assert_produces_warning(
FutureWarning, check_stacklevel=False):
data = 'a\n1'
expected = np.array([(1,)], dtype=[('a', '<i8')])
expected = np.array([(1,)], dtype=[('a', '=i8')])
out = self.read_csv(StringIO(data), as_recarray=True, squeeze=True)
tm.assert_numpy_array_equal(out, expected)

Expand All @@ -1500,7 +1500,7 @@ def test_as_recarray(self):
data = 'a,b\n1,a\n2,b'
conv = lambda x: int(x) + 1
expected = np.array([(2, 'a'), (3, 'b')],
dtype=[('a', '<i8'), ('b', 'O')])
dtype=[('a', '=i8'), ('b', 'O')])
out = self.read_csv(StringIO(data), as_recarray=True,
converters={'a': conv})
tm.assert_numpy_array_equal(out, expected)
Expand All @@ -1509,7 +1509,7 @@ def test_as_recarray(self):
with tm.assert_produces_warning(
FutureWarning, check_stacklevel=False):
data = 'a,b\n1,a\n2,b'
expected = np.array([(1,), (2,)], dtype=[('a', '<i8')])
expected = np.array([(1,), (2,)], dtype=[('a', '=i8')])
out = self.read_csv(StringIO(data), as_recarray=True,
usecols=['a'])
tm.assert_numpy_array_equal(out, expected)
Expand Down
2 changes: 1 addition & 1 deletion pandas/tests/series/test_datetime_values.py
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Original file line number Diff line number Diff line change
Expand Up @@ -326,7 +326,7 @@ def test_strftime(self):
period_index = period_range('20150301', periods=5)
result = period_index.strftime("%Y/%m/%d")
expected = np.array(['2015/03/01', '2015/03/02', '2015/03/03',
'2015/03/04', '2015/03/05'], dtype='<U10')
'2015/03/04', '2015/03/05'], dtype='=U10')
self.assert_numpy_array_equal(result, expected)

s = Series([datetime(2013, 1, 1, 2, 32, 59), datetime(2013, 1, 2, 14,
Expand Down
2 changes: 1 addition & 1 deletion pandas/tseries/tests/test_timeseries.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2991,7 +2991,7 @@ def test_map(self):

f = lambda x: x.strftime('%Y%m%d')
result = rng.map(f)
exp = np.array([f(x) for x in rng], dtype='<U8')
exp = np.array([f(x) for x in rng], dtype='=U8')
tm.assert_almost_equal(result, exp)

def test_iteration_preserves_tz(self):
Expand Down