xorbits.pandas.Series.idxmin#
- Series.idxmin(axis: Axis = 0, skipna: bool = True, *args, **kwargs) Hashable [源代码]#
Return the row label of the minimum value.
If multiple values equal the minimum, the first row label with that value is returned.
- 参数
axis ({0 or 'index'}) – Unused. Parameter needed for compatibility with DataFrame.
skipna (bool, default True) – Exclude NA/null values. If the entire Series is NA, the result will be NA.
*args – Additional arguments and keywords have no effect but might be accepted for compatibility with NumPy.
**kwargs – Additional arguments and keywords have no effect but might be accepted for compatibility with NumPy.
- 返回
Label of the minimum value.
- 返回类型
- 引发
ValueError – If the Series is empty.
参见
numpy.argmin
Return indices of the minimum values along the given axis.
DataFrame.idxmin
Return index of first occurrence of minimum over requested axis.
Series.idxmax
Return index label of the first occurrence of maximum of values.
提示
This method is the Series version of
ndarray.argmin
. This method returns the label of the minimum, whilendarray.argmin
returns the position. To get the position, useseries.values.argmin()
.实际案例
>>> s = pd.Series(data=[1, None, 4, 1], ... index=['A', 'B', 'C', 'D']) >>> s A 1.0 B NaN C 4.0 D 1.0 dtype: float64
>>> s.idxmin() 'A'
If skipna is False and there is an NA value in the data, the function returns
nan
.>>> s.idxmin(skipna=False) nan
警告
This method has not been implemented yet. Xorbits will try to execute it with pandas.
This docstring was copied from pandas.core.series.Series.