Write Pandas DataFrame to CSV File

To write pandas dataframe to a CSV file in Python, use the to_csv() method. At first, let us create a dictionary of lists −

# dictionary of lists
d = {'Car': ['BMW', 'Lexus', 'Audi', 'Mercedes', 'Jaguar', 'Bentley'],'Date_of_purchase': ['2020-10-10', '2020-10-12', '2020-10-17', '2020-10-16', '2020-10-19', '2020-10-22']
}

Now, create pandas dataframe from the above dictionary of lists −

dataFrame = pd.DataFrame(d)

Our output CSV file will generate on the Desktop since we have set the Desktop path below −

dataFrame.to_csv("C:\Users\amit_\Desktop\sales1.csv\SalesRecords.csv")

Example

Following is the code −

import pandas as pd

# dictionary of lists
d = {'Car': ['BMW', 'Lexus', 'Audi', 'Mercedes', 'Jaguar', 'Bentley'],'Date_of_purchase': ['2020-10-10', '2020-10-12', '2020-10-17', '2020-10-16', '2020-10-19', '2020-10-22']
}

# creating dataframe from the above dictionary of lists
dataFrame = pd.DataFrame(d)
print("DataFrame...\n",dataFrame)

# write dataFrame to SalesRecords CSV file
dataFrame.to_csv("C:\Users\amit_\Desktop\SalesRecords.csv")

# display the contents of the output csv
print("The output csv file written successfully and generated...")

Output

This will produce the following output −

DataFrame...
        Car   Date_of_purchase
0       BMW         2020-10-10
1     Lexus         2020-10-12
2      Audi         2020-10-17
3  Mercedes         2020-10-16
4    Jaguar         2020-10-19
5   Bentley         2020-10-22
The output csv file written successfully and generated...

The resultant “SalesRecords.csv” generated successfully with the following records i.e., pandas dataframe −