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Pandas Series | argmin method

schedule Aug 11, 2023
Last updated
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Pandas Series.argmin(~) returns the integer index of the minimum value in the Series. If there are multiple minimums, then the integer index of the first occurrence will be returned.

Parameters

1. skipna | boolean | optional

Whether or not to ignore missing value. If False and Series contains a missing value, then the method returns a -1. By default, skipna=True.

Return Value

An int.

Examples

Basic usage

To get the integer index of the minimum value in a Series:

s = pd.Series([5,3,4,3], index=["A","B","C","D"])
s.argmin()
1

Notice how the integer index of the first minimum is returned.

Specifying skipna

By default, skipna=True, which means that missing values are ignored:

s = pd.Series([4,pd.np.nan,3], index=["A","B","C"])
s.argmin() # skipna=True
2

If skipna=False and a missing value exists in the Series, then -1 is returned:

s = pd.Series([4,pd.np.nan,3], index=["A","B","C"])
s.argmin(skipna=False)
-1

robocat
Published by Isshin Inada
Edited by 0 others
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