本文整理匯總了Python中pandas.core.ops.add_flex_arithmetic_methods方法的典型用法代碼示例。如果您正苦於以下問題：Python ops.add_flex_arithmetic_methods方法的具體用法？Python ops.add_flex_arithmetic_methods怎麽用？Python ops.add_flex_arithmetic_methods使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類pandas.core.ops的用法示例。
在下文中一共展示了ops.add_flex_arithmetic_methods方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: _add_aggregate_operations
# 需要導入模塊: from pandas.core import ops [as 別名]
# 或者: from pandas.core.ops import add_flex_arithmetic_methods [as 別名]
def _add_aggregate_operations(cls, use_numexpr=True):
""" add the operations to the cls; evaluate the doc strings again """
# doc strings substitors
_agg_doc = """
Wrapper method for %%s
Parameters
----------
other : %s or %s""" % (cls._constructor_sliced.__name__, cls.__name__) + """
axis : {""" + ', '.join(cls._AXIS_ORDERS) + "}" + """
Axis to broadcast over
Returns
-------
""" + cls.__name__ + "\n"
def _panel_arith_method(op, name, str_rep=None, default_axis=None,
fill_zeros=None, **eval_kwargs):
def na_op(x, y):
try:
result = expressions.evaluate(op, str_rep, x, y,
raise_on_error=True,
**eval_kwargs)
except TypeError:
result = op(x, y)
# handles discrepancy between numpy and numexpr on division/mod
# by 0 though, given that these are generally (always?)
# non-scalars, I'm not sure whether it's worth it at the moment
result = com._fill_zeros(result, y, fill_zeros)
return result
@Substitution(name)
@Appender(_agg_doc)
def f(self, other, axis=0):
return self._combine(other, na_op, axis=axis)
f.__name__ = name
return f
# add `div`, `mul`, `pow`, etc..
ops.add_flex_arithmetic_methods(
cls, _panel_arith_method, use_numexpr=use_numexpr,
flex_comp_method=ops._comp_method_PANEL)