本文整理汇总了Python中pandas.core.dtypes.common.needs_i8_conversion方法的典型用法代码示例。如果您正苦于以下问题：Python common.needs_i8_conversion方法的具体用法？Python common.needs_i8_conversion怎么用？Python common.needs_i8_conversion使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pandas.core.dtypes.common的用法示例。
在下文中一共展示了common.needs_i8_conversion方法的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_needs_i8_conversion
# 需要导入模块: from pandas.core.dtypes import common [as 别名]
# 或者: from pandas.core.dtypes.common import needs_i8_conversion [as 别名]
def test_needs_i8_conversion():
assert not com.needs_i8_conversion(str)
assert not com.needs_i8_conversion(np.int64)
assert not com.needs_i8_conversion(pd.Series([1, 2]))
assert not com.needs_i8_conversion(np.array(['a', 'b']))
assert com.needs_i8_conversion(np.datetime64)
assert com.needs_i8_conversion(pd.Series([], dtype="timedelta64[ns]"))
assert com.needs_i8_conversion(pd.DatetimeIndex(
["2000"], tz="US/Eastern")) 示例2: test_needs_i8_conversion
# 需要导入模块: from pandas.core.dtypes import common [as 别名]
# 或者: from pandas.core.dtypes.common import needs_i8_conversion [as 别名]
def test_needs_i8_conversion():
assert not com.needs_i8_conversion(str)
assert not com.needs_i8_conversion(np.int64)
assert not com.needs_i8_conversion(pd.Series([1, 2]))
assert not com.needs_i8_conversion(np.array(['a', 'b']))
assert com.needs_i8_conversion(np.datetime64)
assert com.needs_i8_conversion(pd.Series([], dtype="timedelta64[ns]"))
assert com.needs_i8_conversion(pd.DatetimeIndex(
[1, 2, 3], tz="US/Eastern")) 示例3: test_get_unique_index
# 需要导入模块: from pandas.core.dtypes import common [as 别名]
# 或者: from pandas.core.dtypes.common import needs_i8_conversion [as 别名]
def test_get_unique_index(self, indices):
# MultiIndex tested separately
if not len(indices) or isinstance(indices, MultiIndex):
pytest.skip('Skip check for empty Index and MultiIndex')
idx = indices[[0] * 5]
idx_unique = indices[[0]]
# We test against `idx_unique`, so first we make sure it's unique
# and doesn't contain nans.
assert idx_unique.is_unique is True
try:
assert idx_unique.hasnans is False
except NotImplementedError:
pass
for dropna in [False, True]:
result = idx._get_unique_index(dropna=dropna)
tm.assert_index_equal(result, idx_unique)
# nans:
if not indices._can_hold_na:
pytest.skip('Skip na-check if index cannot hold na')
if needs_i8_conversion(indices):
vals = indices.asi8[[0] * 5]
vals[0] = iNaT
else:
vals = indices.values[[0] * 5]
vals[0] = np.nan
vals_unique = vals[:2]
idx_nan = indices._shallow_copy(vals)
idx_unique_nan = indices._shallow_copy(vals_unique)
assert idx_unique_nan.is_unique is True
assert idx_nan.dtype == indices.dtype
assert idx_unique_nan.dtype == indices.dtype
for dropna, expected in zip([False, True],
[idx_unique_nan,
idx_unique]):
for i in [idx_nan, idx_unique_nan]:
result = i._get_unique_index(dropna=dropna)
tm.assert_index_equal(result, expected) 示例4: test_get_unique_index
# 需要导入模块: from pandas.core.dtypes import common [as 别名]
# 或者: from pandas.core.dtypes.common import needs_i8_conversion [as 别名]
def test_get_unique_index(self, indices):
# MultiIndex tested separately
if not len(indices) or isinstance(indices, MultiIndex):
return
idx = indices[[0] * 5]
idx_unique = indices[[0]]
# We test against `idx_unique`, so first we make sure it's unique
# and doesn't contain nans.
assert idx_unique.is_unique
try:
assert not idx_unique.hasnans
except NotImplementedError:
pass
for dropna in [False, True]:
result = idx._get_unique_index(dropna=dropna)
tm.assert_index_equal(result, idx_unique)
# nans:
if not indices._can_hold_na:
return
if needs_i8_conversion(indices):
vals = indices.asi8[[0] * 5]
vals[0] = iNaT
else:
vals = indices.values[[0] * 5]
vals[0] = np.nan
vals_unique = vals[:2]
idx_nan = indices._shallow_copy(vals)
idx_unique_nan = indices._shallow_copy(vals_unique)
assert idx_unique_nan.is_unique
assert idx_nan.dtype == indices.dtype
assert idx_unique_nan.dtype == indices.dtype
for dropna, expected in zip([False, True],
[idx_unique_nan,
idx_unique]):
for i in [idx_nan, idx_unique_nan]:
result = i._get_unique_index(dropna=dropna)
tm.assert_index_equal(result, expected)