本文整理汇总了Python中pandas.core.nanops.nanargmin方法的典型用法代码示例。如果您正苦于以下问题：Python nanops.nanargmin方法的具体用法？Python nanops.nanargmin怎么用？Python nanops.nanargmin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.nanops的用法示例。
在下文中一共展示了nanops.nanargmin方法的9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: argmin
# 需要导入模块: from pandas.core import nanops [as 别名]
# 或者: from pandas.core.nanops import nanargmin [as 别名]
def argmin(self, axis=None, skipna=True):
"""
Return a ndarray of the minimum argument indexer.
Parameters
----------
axis : {None}
Dummy argument for consistency with Series
skipna : bool, default True
See Also
--------
numpy.ndarray.argmin
"""
nv.validate_minmax_axis(axis)
return nanops.nanargmin(self._values, skipna=skipna) 示例2: idxmin
# 需要导入模块: from pandas.core import nanops [as 别名]
# 或者: from pandas.core.nanops import nanargmin [as 别名]
def idxmin(self, axis=None, out=None, skipna=True):
"""
Index of first occurrence of minimum of values.
Parameters
----------
skipna : boolean, default True
Exclude NA/null values
Returns
-------
idxmin : Index of minimum of values
Notes
-----
This method is the Series version of ``ndarray.argmin``.
See Also
--------
DataFrame.idxmin
"""
i = nanops.nanargmin(_values_from_object(self), skipna=skipna)
if i == -1:
return pa.NA
return self.index[i] 示例3: test_nanargmin
# 需要导入模块: from pandas.core import nanops [as 别名]
# 或者: from pandas.core.nanops import nanargmin [as 别名]
def test_nanargmin(self):
with warnings.catch_warnings(record=True):
warnings.simplefilter("ignore", RuntimeWarning)
func = partial(self._argminmax_wrap, func=np.argmin)
self.check_funs(nanops.nanargmin, func, allow_str=False,
allow_obj=False) 示例4: test_nanargmin
# 需要导入模块: from pandas.core import nanops [as 别名]
# 或者: from pandas.core.nanops import nanargmin [as 别名]
def test_nanargmin(self):
with warnings.catch_warnings(record=True):
func = partial(self._argminmax_wrap, func=np.argmin)
self.check_funs(nanops.nanargmin, func, allow_str=False,
allow_obj=False) 示例5: argmin
# 需要导入模块: from pandas.core import nanops [as 别名]
# 或者: from pandas.core.nanops import nanargmin [as 别名]
def argmin(self, axis=None):
"""
return a ndarray of the minimum argument indexer
See also
--------
numpy.ndarray.argmin
"""
return nanops.nanargmin(self.values) 示例6: idxmin
# 需要导入模块: from pandas.core import nanops [as 别名]
# 或者: from pandas.core.nanops import nanargmin [as 别名]
def idxmin(self, axis=0, skipna=True):
"""
Return index of first occurrence of minimum over requested axis.
NA/null values are excluded.
Parameters
----------
axis : {0, 1}
0 for row-wise, 1 for column-wise
skipna : boolean, default True
Exclude NA/null values. If an entire row/column is NA, the result
will be NA
Returns
-------
idxmin : Series
Notes
-----
This method is the DataFrame version of ``ndarray.argmin``.
See Also
--------
Series.idxmin
"""
axis = self._get_axis_number(axis)
indices = nanops.nanargmin(self.values, axis=axis, skipna=skipna)
index = self._get_axis(axis)
result = [index[i] if i >= 0 else NA for i in indices]
return Series(result, index=self._get_agg_axis(axis)) 示例7: idxmin
# 需要导入模块: from pandas.core import nanops [as 别名]
# 或者: from pandas.core.nanops import nanargmin [as 别名]
def idxmin(self, axis=None, skipna=True, *args, **kwargs):
"""
Index *label* of the first occurrence of minimum of values.
Parameters
----------
skipna : boolean, default True
Exclude NA/null values. If the entire Series is NA, the result
will be NA.
Raises
------
ValueError
* If the Series is empty
Returns
-------
idxmin : Index of minimum of values
Notes
-----
This method is the Series version of ``ndarray.argmin``. This method
returns the label of the minimum, while ``ndarray.argmin`` returns
the position. To get the position, use ``series.values.argmin()``.
See Also
--------
DataFrame.idxmin
numpy.ndarray.argmin
"""
skipna = nv.validate_argmin_with_skipna(skipna, args, kwargs)
i = nanops.nanargmin(_values_from_object(self), skipna=skipna)
if i == -1:
return np.nan
return self.index[i] 示例8: test_nanargmin
# 需要导入模块: from pandas.core import nanops [as 别名]
# 或者: from pandas.core.nanops import nanargmin [as 别名]
def test_nanargmin(self):
func = partial(self._argminmax_wrap, func=np.argmin)
if tm.sys.version_info[0:2] == (2, 6):
self.check_funs(nanops.nanargmin, func, allow_date=True,
allow_tdelta=True, allow_str=False,
allow_obj=False)
else:
self.check_funs(nanops.nanargmin, func, allow_str=False,
allow_obj=False) 示例9: idxmin
# 需要导入模块: from pandas.core import nanops [as 别名]
# 或者: from pandas.core.nanops import nanargmin [as 别名]
def idxmin(self, axis=None, skipna=True, *args, **kwargs):
"""
Index *label* of the first occurrence of minimum of values.
Parameters
----------
skipna : boolean, default True
Exclude NA/null values
Returns
-------
idxmin : Index of minimum of values
Notes
-----
This method is the Series version of ``ndarray.argmin``. This method
returns the label of the minimum, while ``ndarray.argmin`` returns
the position. To get the position, use ``series.values.argmin()``.
See Also
--------
DataFrame.idxmin
numpy.ndarray.argmin
"""
skipna = nv.validate_argmin_with_skipna(skipna, args, kwargs)
i = nanops.nanargmin(_values_from_object(self), skipna=skipna)
if i == -1:
return np.nan
return self.index[i]