Skip to content
Related Articles

Related Articles

Improve Article
Python | Pandas Dataframe.iat[ ]
  • Last Updated : 23 Mar, 2021

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 iat[] method is used to return data in a dataframe at the passed location. The passed location is in the format [poition in the row, position in the column]. This method works similarly to Pandas iloc[] but iat[] is used to return only a single value and hence works faster than it.
 

Syntax: Dataframe.iat[row, column]
Parameters: 
position: Position of element in column 
label: Position of element in row
Return type: Single element at passed position 
 

 

To download the data set used in the following example, click here.



In the following examples, the data frame used contains data of some NBA players. The image of data frame before any operations is attached below.
 

Example #1: 
In this example, A dataframe is created by passing URL of csv to Pandas .read_csv() method. After that 3 is passed as column position and 7 as the position in row and value at that position is returned using .iat[ ] method.
 

Python3




# importing pandas module 
import pandas as pd
 
# reading csv file from url 
 
# creating column and row variables
column = 7
row = 3
     
# calling .iat[] method
output = data.iat[row, column]
 
# display
print(output)
 
# df display
data.head()

Output: 
As shown in the output image, the output can be compared and it can be seen that the Value of the 3rd element in the 7th column was returned. 
 

Note: 
 

  • Unlike, .iloc[ ], This method only returns single value. Hence dataframe.at[3:6, 4:2] will return an error
  • Since this method only works for single values, it is faster than .iloc[] method

 

 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 :