本文整理汇总了Python中pandas.core.indexes.datetimelike.DatetimeIndexOpsMixin类的典型用法代码示例。如果您正苦于以下问题：Python DatetimeIndexOpsMixin类的具体用法？Python DatetimeIndexOpsMixin怎么用？Python DatetimeIndexOpsMixin使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
在下文中一共展示了DatetimeIndexOpsMixin类的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: _convert_tolerance
def _convert_tolerance(self, tolerance, target):
tolerance = DatetimeIndexOpsMixin._convert_tolerance(self, tolerance,
target)
if target.size != tolerance.size and tolerance.size > 1:
raise ValueError('list-like tolerance size must match '
'target index size')
return self._maybe_convert_timedelta(tolerance)示例2: _addsub_offset_array
def _addsub_offset_array(self, other, op):
# Add or subtract Array-like of DateOffset objects
try:
# TimedeltaIndex can only operate with a subset of DateOffset
# subclasses. Incompatible classes will raise AttributeError,
# which we re-raise as TypeError
return DatetimeIndexOpsMixin._addsub_offset_array(self, other, op)
except AttributeError:
raise TypeError("Cannot add/subtract non-tick DateOffset to {cls}"
.format(cls=type(self).__name__))示例3: astype
def astype(self, dtype, copy=True):
dtype = pandas_dtype(dtype)
if is_timedelta64_dtype(dtype) and not is_timedelta64_ns_dtype(dtype):
# Have to repeat the check for 'timedelta64' (not ns) dtype
# so that we can return a numeric index, since pandas will return
# a TimedeltaIndex when dtype='timedelta'
result = self._data.astype(dtype, copy=copy)
if self.hasnans:
return Index(result, name=self.name)
return Index(result.astype('i8'), name=self.name)
return DatetimeIndexOpsMixin.astype(self, dtype, copy=copy)示例4: _join_i8_wrapper
def _join_i8_wrapper(joinf, **kwargs):
return DatetimeIndexOpsMixin._join_i8_wrapper(
joinf, dtype='m8[ns]', **kwargs)示例5: _convert_tolerance
def _convert_tolerance(self, tolerance):
tolerance = DatetimeIndexOpsMixin._convert_tolerance(self, tolerance)
return self._maybe_convert_timedelta(tolerance)