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. Python3

# importing pandas as pd
import pandas as pd

# Creating the Series
sr = pd.Series([248])

# Create the Index
index_ = ['Coca Cola']

# set the index
sr.index = index_

# Print the series
print(sr)

Output : Now we will use Series.item() function to return the first element of the given series object as a scalar. Python3 1==

# return a scalar
result = sr.item()

# Print the result
print(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. Python3

# importing pandas as pd
import pandas as pd

# Creating the Series
sr = pd.Series([11])

# Create the Index
index_ = pd.date_range('2010-10-09', periods = 1, freq ='M')

# set the index
sr.index = index_

# Print the series
print(sr)

Output : Now we will use Series.item() function to return the first element of the given series object as a scalar. Python3 1==

# return a scalar
result = sr.item()

# Print the result
print(result)

Output : As we can see in the output, the Series.item() function has successfully returned a scalar value.