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

Accessing a single column

To access a single column, supply its column name:


        
        
            
                
                
                    df.get("A")      # Returns a Series
                
            
            0    1
1    2
Name: A, dtype: int64

Accessing multiple columns

To access multiple columns, supply their column labels as a list:


        
        
            
                
                
                    df.get(["A","B"])    # Returns a DataFrame
                
            
               A  B
0  1  3
1  2  4

Risk of mutation

Consider the same df as before:


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

We extract the column A, and mutate one of its values:


        
        
            
                
                
                    df.get("A")[0] = 9
df
                
            
               A  B
0  9  3
1  2  4