本文整理汇总了Python中pandas.core.dtypes.common.is_dtype_equal方法的典型用法代码示例。如果您正苦于以下问题：Python common.is_dtype_equal方法的具体用法？Python common.is_dtype_equal怎么用？Python common.is_dtype_equal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.is_dtype_equal方法的5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_dtype_equal_strict
# 需要导入模块: from pandas.core.dtypes import common [as 别名]
# 或者: from pandas.core.dtypes.common import is_dtype_equal [as 别名]
def test_dtype_equal_strict():
# we are strict on kind equality
for dtype in [np.int8, np.int16, np.int32]:
assert not com.is_dtype_equal(np.int64, dtype)
for dtype in [np.float32]:
assert not com.is_dtype_equal(np.float64, dtype)
# strict w.r.t. PeriodDtype
assert not com.is_dtype_equal(PeriodDtype('D'), PeriodDtype('2D'))
# strict w.r.t. datetime64
assert not com.is_dtype_equal(
com.pandas_dtype('datetime64[ns, US/Eastern]'),
com.pandas_dtype('datetime64[ns, CET]'))
# see gh-15941: no exception should be raised
assert not com.is_dtype_equal(None, None) 示例2: test_infer_dtype_from_array
# 需要导入模块: from pandas.core.dtypes import common [as 别名]
# 或者: from pandas.core.dtypes.common import is_dtype_equal [as 别名]
def test_infer_dtype_from_array(arr, expected, pandas_dtype):
dtype, _ = infer_dtype_from_array(arr, pandas_dtype=pandas_dtype)
assert is_dtype_equal(dtype, expected) 示例3: test_dtype_equal
# 需要导入模块: from pandas.core.dtypes import common [as 别名]
# 或者: from pandas.core.dtypes.common import is_dtype_equal [as 别名]
def test_dtype_equal(name1, dtype1, name2, dtype2):
# match equal to self, but not equal to other
assert com.is_dtype_equal(dtype1, dtype1)
if name1 != name2:
assert not com.is_dtype_equal(dtype1, dtype2) 示例4: test_dtype_equal_strict
# 需要导入模块: from pandas.core.dtypes import common [as 别名]
# 或者: from pandas.core.dtypes.common import is_dtype_equal [as 别名]
def test_dtype_equal_strict(dtype1, dtype2):
assert not com.is_dtype_equal(dtype1, dtype2) 示例5: __eq__
# 需要导入模块: from pandas.core.dtypes import common [as 别名]
# 或者: from pandas.core.dtypes.common import is_dtype_equal [as 别名]
def __eq__(self, other):
if isinstance(other, compat.string_types):
return other.lower() in (self.name.lower(), str(self).lower())
elif not isinstance(other, IntervalDtype):
return False
elif self.subtype is None or other.subtype is None:
# None should match any subtype
return True
else:
from pandas.core.dtypes.common import is_dtype_equal
return is_dtype_equal(self.subtype, other.subtype)