xorbits.pandas.Index.argmin#

Index.argmin(axis=None, skipna: bool = True, *args, **kwargs) → int[源代码]#

Return int position of the smallest value in the Series.

If the minimum is achieved in multiple locations, the first row position is returned.

参数

  • axis ({None}) – Unused. Parameter needed for compatibility with DataFrame.

  • skipna (bool, default True) – Exclude NA/null values when showing the result.

  • *args – Additional arguments and keywords for compatibility with NumPy.

  • **kwargs – Additional arguments and keywords for compatibility with NumPy.

返回

Row position of the minimum value.

返回类型

int

参见

Series.argmin

Return position of the minimum value.

Series.argmax

Return position of the maximum value.

numpy.ndarray.argmin

Equivalent method for numpy arrays.

Series.idxmax

Return index label of the maximum values.

Series.idxmin

Return index label of the minimum values.

实际案例

Consider dataset containing cereal calories

>>> s = pd.Series({'Corn Flakes': 100.0, 'Almond Delight': 110.0,  
...                'Cinnamon Toast Crunch': 120.0, 'Cocoa Puff': 110.0})
>>> s  
Corn Flakes              100.0
Almond Delight           110.0
Cinnamon Toast Crunch    120.0
Cocoa Puff               110.0
dtype: float64

>>> s.argmax()  
2
>>> s.argmin()  
0

The maximum cereal calories is the third element and the minimum cereal calories is the first element, since series is zero-indexed.

警告

This method has not been implemented yet. Xorbits will try to execute it with pandas.

This docstring was copied from pandas.core.indexes.base.Index.