Python | Pandas Series.idxmin()

Pandas series is a One-dimensional ndarray with axis labels. The labels need not be unique but must be a hashable type. The object supports both integer- and label-based indexing and provides a host of methods for performing operations involving the index.

Pandas Series.idxmin() function return the row label of the minimum value. If multiple values equal the minimum, the first row label with that value is returned.

Syntax: Series.idxmin(axis=0, skipna=True, *args, **kwargs)

Parameter :
skipna : Exclude NA/null values. If the entire Series is NA, the result will be NA.
axis : For compatibility with DataFrame.idxmin. Redundant for application on Series.

Returns : idxmin : Index of minimum of values.



Example #1: Use Series.idxmin() function to find the index label corresponding to the minimum value in the given series object.

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# importing pandas as pd
import pandas as pd
  
# Creating the Series
sr = pd.Series([10, 25, 3, 25, 24, 6])
  
# Create the Index
index_ = ['Coca Cola', 'Sprite', 'Coke', 'Fanta', 'Dew', 'ThumbsUp']
  
# set the index
sr.index = index_
  
# Print the series
print(sr)

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Output :

Now we will use Series.idxmin() function to find the index label corresponding to the minimum value in the series.

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# return index label of the 
# minimum value in the series
result = sr.idxmin()
  
# Print the result
print(result)

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Output :

As we can see in the output, the Series.idxmin() function has returned the index label of the minimum element in the given series object.
 
Example #2 : Use Series.idxmin() function to find the index label corresponding to the minimum value in the given series object.

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# importing pandas as pd
import pandas as pd
  
# Creating the Series
sr = pd.Series([11, 21, 8, 18, 65, 84, 32, 10, 5, 24, 32])
  
# Create the Index
index_ = pd.date_range('2010-10-09', periods = 11, freq ='M')
  
# set the index
sr.index = index_
  
# Print the series
print(sr)

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Output :

Now we will use Series.idxmin() function to find the index label corresponding to the minimum value in the series.

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close

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# return index label of the 
# minimum value in the series
result = sr.idxmin()
  
# Print the result
print(result)

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Output :

As we can see in the output, the Series.idxmin() function has returned the index label of the minimum element in the given series object.




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