Saving a Pandas Dataframe as a CSV

Pandas is an open source library which is built on top of NumPy library. It allows user for fast analysis, data cleaning & preparation of data efficiently. Pandas is fast and it has high-performance & productivity for users.

Most of the datasets you work with are called DataFrames. DataFrames is a 2-Dimensional labeled Data Structure with index for rows and columns, where each cell is used to store a value of any type. Basically, DataFrames are Dictionary based out of NumPy Arrays.

Let’s see how to save a Pandas DataFrame as a CSV file using to_csv() method.



Example #1: Save csv to working directory.

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# importing pandas as pd 
import pandas as pd 
   
# list of name, degree, score
nme = ["aparna", "pankaj", "sudhir", "Geeku"]
deg = ["MBA", "BCA", "M.Tech", "MBA"]
scr = [90, 40, 80, 98]
   
# dictionary of lists 
dict = {'name': nme, 'degree': deg, 'score': scr} 
     
df = pd.DataFrame(dict)
  
# saving the dataframe
df.to_csv('file1.csv')

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Output:



 

Example #2:  Saving CSV without headers and index.













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# importing pandas as pd  


import pandas as pd  


   


# list of name, degree, score 


nme = ["aparna", "pankaj", "sudhir", "Geeku"] 


deg = ["MBA", "BCA", "M.Tech", "MBA"] 


scr = [90, 40, 80, 98] 


   


# dictionary of lists  


dict = {'name': nme, 'degree': deg, 'score': scr}  


     


df = pd.DataFrame(dict) 


  


# saving the dataframe 


df.to_csv('file2.csv', header=False, index=False) 



















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Output:



 

Example #3: Save csv file to a specified location.













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# importing pandas as pd  


import pandas as pd  


   


# list of name, degree, score 


nme = ["aparna", "pankaj", "sudhir", "Geeku"] 


deg = ["MBA", "BCA", "M.Tech", "MBA"] 


scr = [90, 40, 80, 98] 


   


# dictionary of lists  


dict = {'name': nme, 'degree': deg, 'score': scr}  


     


df = pd.DataFrame(dict) 


  


# saving the dataframe 


df.to_csv(r'C:\Users\Admin\Desktop\file3.csv', index=False) 



















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Output:







    

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