Saving a Pandas Dataframe as a CSV
Last Updated :
03 Oct, 2022
In this article, we will learn how we can export a Pandas DataFrame to a CSV file by using the Pandas to_csv() method. By default, the to csv() method exports DataFrame to a CSV file with row index as the first column and comma as the delimiter.
Creating DataFrame to Export Pandas DataFrame to CSV
Python3
import pandas as pd
nme = ["aparna", "pankaj", "sudhir", "Geeku"]
deg = ["MBA", "BCA", "M.Tech", "MBA"]
scr = [90, 40, 80, 98]
dict = {'name': nme, 'degree': deg, 'score': scr}
df = pd.DataFrame(dict)
print(df)
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Output:
name degree score
0 aparna MBA 90
1 pankaj BCA 40
2 sudhir M.Tech 80
3 Geeku MBA 98
Export CSV to a working directory
Here, we simply export a Dataframe to a CSV file using df.to_csv().
Output:
Saving CSV without headers and index.
Here, we are saving the file with no header and no index number.
Python3
df.to_csv('file2.csv', header=False, index=False)
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Output:
Save the CSV file to a specified location
We can also, save our file at some specific location.
Python3
df.to_csv(r'C:\Users\Admin\Desktop\file3.csv')
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Output:
Write a DataFrame to CSV file using tab separator
We can also save our file with some specific separate as we want. i.e, “\t” .
Python3
import pandas as pd
import numpy as np
users = {'Name': ['Amit', 'Cody', 'Drew'],
'Age': [20,21,25]}
df = pd.DataFrame(users, columns=['Name','Age'])
print("Original DataFrame:")
print(df)
print('Data from Users.csv:')
df.to_csv('Users.csv', sep='\t', index=False,header=True)
new_df = pd.read_csv('Users.csv')
print(new_df)
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Output:
Original DataFrame:
Name Age
0 Amit 20
1 Cody 21
2 Drew 25
Data from Users.csv:
Name\tAge
0 Amit\t20
1 Cody\t21
2 Drew\t25
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