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.
# 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) |
Output :
Now we will use Series.idxmin() function to find the index label corresponding to the minimum value in the series.
# return index label of the # minimum value in the series result = sr.idxmin()   # Print the result print(result) |
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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Example #2 : Use Series.idxmin() function to find the index label corresponding to the minimum value in the given series object.
# 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) |
Output :
Now we will use Series.idxmin() function to find the index label corresponding to the minimum value in the series.
# return index label of the # minimum value in the series result = sr.idxmin()   # Print the result print(result) |
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.
