Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://pandas.pydata.org/pandas-docs/stable/reference/api/../api/pandas.Index.argmin.html below:

pandas.Index.argmin — pandas 2.3.1 documentation

Index.argmin(axis=None, skipna=True, *args, **kwargs)[source]#

Return int position of the smallest value in the Series.

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

Parameters:

axis{None}

Unused. Parameter needed for compatibility with DataFrame.

skipnabool, default True

Exclude NA/null values when showing the result.

*args, **kwargs

Additional arguments and keywords for compatibility with NumPy.

Returns:

int

Row position of the minimum value.

Examples

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.

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4