Python | Pandas Series.item()
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.item() function return the first element of the underlying data of the given series object as a python scalar.
Note : This function can only convert an array of size 1 to a Python scalar
Syntax: Series.item()
Parameter : None
Returns : scalar
Example #1: Use Series.item() function to return the first element of the given series object as a scalar.
# importing pandas as pdimport pandas as pd # Creating the Seriessr = pd.Series([248]) # Create the Indexindex_ = ['Coca Cola'] # set the indexsr.index = index_ # Print the seriesprint(sr) |
Output :
Now we will use Series.item() function to return the first element of the given series object as a scalar.
# return a scalarresult = sr.item() # Print the resultprint(result) |
Output :
As we can see in the output, the Series.item() function has successfully returned a scalar value.
Example #2 : Use Series.item() function to iterate over all the elements in the given series object.
# importing pandas as pdimport pandas as pd # Creating the Seriessr = pd.Series([11]) # Create the Indexindex_ = pd.date_range('2010-10-09', periods = 1, freq ='M') # set the indexsr.index = index_ # Print the seriesprint(sr) |
Output :
Now we will use Series.item() function to return the first element of the given series object as a scalar.
# return a scalarresult = sr.item() # Print the resultprint(result) |
Output :
As we can see in the output, the Series.item() function has successfully returned a scalar value.
Last Updated on October 23, 2021 by admin