
        
        
            
                
                
                    df = pd.DataFrame({"A":[1,2], "B":[3,4]})
df
                
            
               A  B
0  1  3
1  2  4

Renaming a single column

To rename column "A" to "C":


        
        
            
                
                
                    df.rename(columns={"A":"C"})
                
            
               C  B
0  1  3
1  2  4

Renaming multiple columns

To rename columns "A" and "B" to "C" and "D", respectively:


        
        
            
                
                
                    df.rename(columns={"A":"C", "B":"D"})
                
            
               C  D
a  1  3
b  2  4

Renaming indices

Consider the same DataFrame, df, as before:

Renaming a single index

To rename the index 0 to "a":


        
        
            
                
                
                    df.rename(index={0:"a"})
                
            
               A  B
a  1  3
1  2  4

Renaming multiple indices

To rename multiple indices:


        
        
            
                
                
                    df.rename(index={0:"a", 1:"b"})
                
            
               A  B
a  1  3
b  2  4

Here, we've renamed column 0 to "a", and column 1 to "b".

Perform renaming in-place

By default, inplace=False, which means that the method returns an entirely new DataFrame without modifying the source DataFrame.

To directly modify the source DataFrame instead, set inplace=True like so:


        
        
            
                
                
                    df = pd.DataFrame({"A":[1,2], "B":[3,4]})
df.rename(columns={"A":"C"}, inplace=True)
df
                
            
               C  B
0  1  3
1  2  4