Skip to content
Related Articles

Related Articles

Improve Article

Python | Pandas Series.iloc

  • Last Updated : 28 Jan, 2019
Geek Week

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.

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.iloc attribute enables purely integer-location based indexing for selection by position over the given Series object.

Syntax:Series.iloc

Parameter : None



Returns : Series

Example #1: Use Series.iloc attribute to perform indexing over the given Series object.




# importing pandas as pd
import pandas as pd
  
# Creating the Series
sr = pd.Series(['New York', 'Chicago', 'Toronto', 'Lisbon'])
  
# Creating the row axis labels
sr.index = ['City 1', 'City 2', 'City 3', 'City 4'
  
# Print the series
print(sr)

Output :

Now we will use Series.iloc attribute to perform indexing over the given Series object.




# slice the object element in the 
# passed range
sr.iloc[0:2]

Output :

As we can see in the output, the Series.iloc attribute has returned a series object containing the sliced element from the original Series object.
 
Example #2 : Use Series.iloc attribute to perform indexing over the given Series object.




# importing pandas as pd
import pandas as pd
  
# Creating the Series
sr = pd.Series(['1/1/2018', '2/1/2018', '3/1/2018', '4/1/2018'])
  
# Creating the row axis labels
sr.index = ['Day 1', 'Day 2', 'Day 3', 'Day 4']
  
# Print the series
print(sr)

Output :

Now we will use Series.iloc attribute to perform indexing over the given Series object.




# slice the object element in the 
# passed range
sr.iloc[1:3]

Output :

As we can see in the output, the Series.iloc attribute has returned a series object containing the sliced element from the original Series object.

 Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.  

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course




My Personal Notes arrow_drop_up
Recommended Articles
Page :