This simple tutorial contains information on how to convert CSV to Excel in Python by providing details about configuring the Python environment, detailed steps to perform this task, and runnable Python code. By using Python convert CSV to Excel having full control over the reading of the source CSV file and customization of the output Excel file. The output Excel file can be saved in any of the formats supported by MS Excel like XLS, XLSX, ODS, and a lot of others.

Steps to Convert CSV to Excel in Python

1. Configure the environment for using Aspose.Cells for Python via Java
2. Instantiate and initialize a TxtLoadOptions class object to set input file format as CSV
3. Identify the separator character present in the CSV data
4. Load the source CSV file into the Workbook object using the TxtLoadOptions configuration
5. Save the output file as XLS converted from CSV

These steps have described the required configuration by sharing the link to establish the environment and then the tasks list is provided to be performed using the Python code. To convert CSV to Excel Python code is quite simple as you just need to load the CSV file and save it as Excel directly however, the TxtLoadOptions class object is introduced that can be used to customize the process to parse the source CSV file.

Code to Convert CSV File to Excel in Python

We have used the TxtLoadOptions class object that allows loading the CSV, TSV, and many other formats available in the FileFormatType class. It also provides the option to set the separator (comma by default) that is used to delimit the text in the source CSV file. There are a lot of other configurations available also in TxtLoadOptions like flags to read string data as the date and numeric value, option to read and set formula from the strings, flag to maintain or ignore the precision of the numeric value, setting LoadFilter to load filter data based on some criteria, and many other options.

In this topic, we have learned to convert CSV file to Excel in Python. If you are interested in creating a new empty Excel file and then filling data into it, refer to the article on how to create Excel file in Python.