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Pandas Series | argmin method
schedule Aug 11, 2023
Last updated local_offer
Tags Python●Pandas
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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
Published by Isshin Inada
Edited by 0 others
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Official Pandas Documentation
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.argmin.html
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