[Tut] Convert CSV to Excel xlsx in Python

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Convert CSV to Excel xlsx in Python

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Problem Formulation

Challenge: Given a CSV file. How to convert it to an excel file in Python?



We create a folder with two files, the file

Code:

csv_to_excel.py

and

Code:

my_file.csv

. We want to convert the CSV file to an excel file so that after running the script

Code:

csv_to_excel.py

, we obtain the third file

Code:

my_file.csv

in our folder like so:



All methods discussed in this tutorial show different code snippets to put into

Code:

csv_to_excel.py

so that it converts the CSV to XLSX in Python.

Method 1: 5 Easy Steps in Pandas

The most pythonic way to convert a

Code:

.csv

to an

Code:

.xlsx

(Excel) in Python is to use the Pandas library.

1. Install the
   Code:

   pandas
   library with
   Code:

   pip install pandas
   
   
2. Install the
   Code:

   openpyxl
   library that is used internally by pandas with
   Code:

   pip install openpyxl
   
   
3. Import the
   Code:

   pandas
   libray with
   Code:

   import pandas as pd
   
   
4. Read the CSV file into a DataFrame
   Code:

   df
   by using the expression
   Code:

   df = pd.read_csv('my_file.csv')
   
   
5. Store the DataFrame in an Excel file by calling
   Code:

   df.to_excel('my_file.xlsx', index=None, header=True)

Code:

import pandas as pd df = pd.read_csv('my_file.csv') df.to_excel('my_file.xlsx', index=None, header=True)

Note that there are many ways to customize the

Code:

to_excel()

function in case

• you don’t need a header line,
  
  
• you want to fix the first line in the Excel file,
  
  
• you want to format the cells as numbers instead of strings, or
  
  
• you have an index column in the original CSV and want to consider it in the Excel file too.
  

If you want to do any of those, feel free to read our full guide on the Finxter blog here:

Tutorial: Pandas

Code:

DataFrame.to_excel()

– An Unofficial Guide to Saving Data to Excel

Also, we’ve recorded a video on the ins and outs of this method here:



Let’s have a look at an alternative to converting a CSV to an Excel file in Python:

Method 2: Modules csv and openpyxl

To convert a CSV to an Excel file, you can also use the following approach:

• Import the
  Code:

  csv
  module
  
  
• Import the
  Code:

  openpyxl
  module
  
  
• Read the CSV file into a list ofhttps://blog.finxter.com/python-list-of-lists/lists, one inner list per row, by using the
  Code:

  csv.reader()
  function
  
  
• Write the list of lists to the Excel file by using the workbook representation of the
  Code:

  openpyxl
  library.
  
  
• Get the active worksheet by calling
  Code:

  workbook.active
  
  
• Write to the worksheet by calling
  Code:

  worksheet.append(row)
  and append one list of values, one value per cell.
  

The following function converts a given CSV to an Excel file:

Code:

import csv import openpyxl def csv_to_excel(csv_filename, excel_filename): # Read CSV file csv_data = [] with open(csv_filename) as f: csv_data = [row for row in csv.reader(f)] # Write to Excel file workbook = openpyxl.workbook.Workbook() worksheet = workbook.active for row in csv_data: worksheet.append(row) workbook.save(excel_filename) if __name__ == "__main__": csv_to_excel("my_file.csv", "my_file.xlsx")

This is a bit more fine-granular approach and it allows you to modify each row in the code or even write additional details into the Excel worksheet.

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