How to get column and row names in DataFrame?

While analyzing the real datasets which are often very huge in size, we might need to get the rows or index names and columns names in order to perform certain operations. 

Note: For downloading the nba dataset used in the below examples Click Here 

Getting row names in Pandas dataframe

First, let’s create a simple dataframe with nba.csv 

Output: 

Now let’s try to get the row name from the above dataset.

Method #1: Simply iterate over indices 

Output: 

0 1 2 3 4 5 6 7 8 9 

  
Method #2: Using rows with dataframe object 

Output: 

[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]

  
Method #3: index.values method returns an array of indexes. 

Output: 

[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]

  
Method #4: Using the tolist() method with values given the list of indexes. 

Output: 

[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]

Method #5: Count the number of rows in dataframe
Since we have loaded only 10 top rows of the dataframe using the head() method, let’s verify the total number of rows first.

Output: 

Now, let’s print the total count of the index. 

Output: 

458

Getting column names in Pandas dataframe

Now let’s try to get the columns name from the nba.csv dataset.
Method #1: Simply iterating over columns 

Output: 

  
Method #2: Using columns with dataframe object 

Output: 
 

  
Method #3: column.values method returns an array of indexes. 

Output: 
 

  
Method #4: Using tolist() method with values with given the list of columns. 

Output: 
 

  
Method #5: Using sorted() method
Sorted() method will return the list of columns sorted in alphabetical order. 

Output: