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.pop() function returns the item corresponding to the passed index label. It also drops the item from the series object.
Syntax: Series.pop(item)
Parameter :
item : strReturns : popped : Series
Example #1: Use Series.pop() function to pop an element from the given series object.
# importing pandas as pd import pandas as pd # Creating the Series sr = pd.Series([10, 25, 3, 11, 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.pop() function to pop the entry for ‘Sprite’ in the given Series object.
# pop the passed index label from # series object result = sr.pop(item = 'Sprite') # Print the result print(result) # Series after popping print(sr) |
Output :
As we can see in the output, the Series.pop() function has successfully popped the entry for the passed label in the given series object.
Example #2 : Use Series.pop() function to pop an element from the given series object. The given series object contains some missing values in it.
# importing pandas as pd import pandas as pd # Creating the Series sr = pd.Series([19.5, 16.8, None, 22.78, None, 20.124, None, 18.1002, None]) # Print the series print(sr) |
Output :
Now we will use Series.pop() function to pop the entry corresponding to the 1st index label in the given Series object.
# pop the passed index label from # series object result = sr.pop(item = 1) # Print the result print(result) # Series after popping print(sr) |
Output :
As we can see in the output, the Series.pop() function has successfully popped the entry for the passed label in the given series object.
