How to Set Cell Value in Pandas DataFrame?

In this article, we will discuss how to set cell values in Pandas DataFrame in Python.

Method 1: Set value for a particular cell in pandas using dataframe.at

This method is used to set the value of an existing value or set a new record.

Python3

# import pandas module import pandas as pd # create a dataframe # with 3 rows and 3 columns data = pd.DataFrame(< 'name' : [ 'sireesha' , 'ravi' , 'rohith' , 'pinkey' , 'gnanesh' ], 'subjects' : [ 'java' , 'php' , 'html/css' , 'python' , 'R' ], 'marks' : [ 98 , 90 , 78 , 91 , 87 ] # set value at 6 th location for name column data.at[ 5 , 'name' ] = 'sri devi' # set value at 6 th location for subjects column data.at[ 5 , 'subjects' ] = 'jsp' # set value at 6 th location for marks column data.at[ 5 , 'marks' ] = 100

Output:

Method 2: Set value for a particular cell in pandas using loc() method

Here we are using the Pandas loc() method to set the column value based on row index and column name

Python3

# create a dataframe # with 3 rows and 3 columns data = pd.DataFrame(< 'name' : [ 'sireesha' , 'ravi' , 'rohith' , 'pinkey' , 'gnanesh' ], 'subjects' : [ 'java' , 'php' , 'html/css' , 'python' , 'R' ], 'marks' : [ 98 , 90 , 78 , 91 , 87 ] data.loc[ 4 , 'name' ] = 'siva nagulu' # set value at 4 th location for subjects column data.loc[ 4 , 'subjects' ] = 'react-js' # set value at 4 th location for marks column data.loc[ 4 , 'marks' ] = 80

Output:

Method 3: Update the value for a particular cell in pandas using replace

Here, we are updating the “suraj” value to “geeks” using Pandas replace.

Python3

# import pandas module import pandas as pd data.replace( "suraj" , "geeks" , inplace = True ) display(data)

Output:

Method 4: Update the value for a particular cell in pandas using iloc

Here, we are updating the value of multiple indexes of the 0th column to 45 using Python iloc.

Python3

# import pandas module import pandas as pd data.iloc[[ 0 , 1 , 3 ],[ 0 ]] = 45 display(data)

Output:

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