Python CSV to Excel

CSV (Comma Separated Values) and Excel are two popular file formats used by programmers and data analysts to store and analyze data. CSV files are lightweight and easy to read, but they lack the formatting and advanced features of Excel files. This is where Python comes in handy. With Python, you can easily convert CSV files to Excel format and take advantage of its advanced features.

Requirements

To convert CSV files to Excel format, you need to have the following software installed on your machine:

• Python 3.x
• pandas library

Converting CSV to Excel

The pandas library in Python provides a DataFrame object that makes it easy to work with tabular data. To convert a CSV file to Excel format, you can use the pandas.read_csv() function to read the CSV file into a DataFrame, and then use the to_excel() method to write the DataFrame to an Excel file.

import pandas as pd

# Read CSV file into a DataFrame
df = pd.read_csv('data.csv')

# Write DataFrame to Excel file
df.to_excel('data.xlsx', index=False)

In the above code snippet, the read_csv() function reads the data.csv file into a DataFrame. The to_excel() method is then used to write the DataFrame to an Excel file named data.xlsx. The index=False parameter is used to exclude the index column from being written to the Excel file.

Conclusion

With Python, converting CSV files to Excel format is a breeze. The pandas library makes it easy to read and write tabular data, and the read_csv() and to_excel() functions make the process of converting files a one-liner. So, next time you need to convert a CSV file to Excel format, give Python a try!