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How to get column names in Pandas dataframe

  • Difficulty Level : Easy
  • Last Updated : 26 May, 2021
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While analyzing the real datasets which are often very huge in size, we might need to get the column names in order to perform some certain operations.

Let’s discuss how to get column names in Pandas dataframe.

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




# Import pandas package 
import pandas as pd 
    
# making data frame 
    
# calling head() method  
# storing in new variable 
data_top = data.head() 
    
# display 
data_top 


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



Method #1: Simply iterating over columns




# Import pandas package 
import pandas as pd 
    
# making data frame 
data = pd.read_csv("nba.csv"
  
# iterating the columns
for col in data.columns:
    print(col)

Output:

 
Method #2: Using columns with dataframe object




# Import pandas package 
import pandas as pd 
    
# making data frame 
data = pd.read_csv("nba.csv"
    
# list(data) or
list(data.columns)

Output:

 
Method #3: column.values method returs an array of index.




# Import pandas package 
import pandas as pd 
    
# making data frame 
data = pd.read_csv("nba.csv"
    
list(data.columns.values)

Output:

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




# Import pandas package 
import pandas as pd 
    
# making data frame 
data = pd.read_csv("nba.csv"
    
list(data.columns.values.tolist())

Output:

 
Method #5: Using sorted() method

Sorted() method will return the list of columns sorted in alphabetical order.




# Import pandas package 
import pandas as pd 
    
# making data frame 
data = pd.read_csv("nba.csv"
    
# using sorted() method
sorted(data)

Output:

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