Python | Pandas Series.idxmin()

Python | Pandas Series.get_values()

Last Updated : 13 Feb, 2019

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.get_values() function return an ndarray containing the underlying data of the given series object.

Syntax: Series.get_values()

Parameter : None

Returns : ndarray

Example #1: Use Series.get_values() function to return an array containing the underlying data of 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.get_values() function to return the underlying data of the given series object as an array.

# return an array 
result = sr.get_values() 
  
# Print the result 
print(result) 

Output :

As we can see in the output, the Series.get_values() function has returned the given series object as an array.

Example #2 : Use Series.get_values() function to return an array containing the underlying data of 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.get_values() function to return the underlying data of the given series object as an array.

# return an array 
result = sr.get_values() 
  
# Print the result 
print(result) 

Output :

As we can see in the output, the Series.get_values() function has returned the given series object as an array.

Python | Pandas Series.idxmin()

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Shubham__Ranjan

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