Convert CSV to Excel XLS/XLSX Spreadsheet in Python

How to Convert CSV to Excel XLS/XLSX Spreadsheet in Python
How to Convert CSV to Excel XLS/XLSX Spreadsheet in Python

CSV(Comma Separated Values) is a plain text file that contains comma separated values, arranged in cells of a spreadsheet. XLSX file is an Excel spreadsheet well known format created by Microsoft Excel. In certain cases, you have to convert CSV to Excel without opening. GroupDocs.Cloud API provides secure and fast way to convert CSV to Excel format in seconds. So, this article covers how to convert CSV to Excel XLS/XLSX spreadsheet in Python.

The following topics shall be covered in this article:

CSV to Excel XLS/XLSX Rest API and Python SDK

To convert csv to xlsx without opening, we will be using the Python SDK of GroupDocs.Conversion Cloud API. It is a platform independent documents and images conversion solution. It allows you to quickly and reliably convert images and documents of any supported file format to any format you need. Python library source code is also available at GitHub Repository.

You can install GroupDocs.Conversion Cloud to your Python application using the following command in the console:

pip install groupdocs_conversion_cloud

Please get your Client ID and Secret from the dashboard before following the mentioned steps. Once you have your ID and secret, add below code in your python application to run cloud API converter as shown below:

How to Convert CSV File to Excel XLSX in Python

You can change CSV to XLSX spreadsheet document programmatically by following the steps mentioned below:

  • Firstly, create an instance of the ConvertApi
  • Now, create an instance of the ConvertSettings
  • Next, provide the storage name and input excel file path
  • Set “xlsx” as the output file format
  • Now, create an instance of the CsvLoadOptions
  • Then, set CSV file comma separator
  • Provide the loadOptions, convertOptions and output file path
  • Then, create ConvertDocumentRequest with ConvertSettings
  • Finally, convert by calling the convert_cocument() method with ConvertDocumentRequest

The following code example shows how to open CSV file in excel with columns using REST API in Python:

How to Convert CSV to XLSX File in Python
How to convert CSV to XLSX file in Python

How to Convert CSV to XLS Spreadsheet in Python

You can convert csv to excel automatically and programmatically by following the steps mentioned below:

  • Firstly, create an instance of the ConvertApi
  • Now, create an instance of the ConvertSettings
  • Next, provide the storage name and input excel file path
  • Set “xls” as the output file format
  • Now, create an instance of the CsvLoadOptions
  • Then, set CSV file comma separator
  • Provide the loadOptions, convertOptions and output file path
  • Then, create ConvertDocumentRequest with ConvertSettings
  • Finally, convert by calling the convert_cocument() method with ConvertDocumentRequest

The following code example shows how to convert CSV file to Excel columns using REST API in Python:

CSV File Converter Online Free

How to convert csv to excel online free? Please try the following free csv to excel converter online, which is developed using the above API. You can easily convert csv to xlsx online free using this csv to excel free online converter.

Summing up

In this article, we have learned:

  • how to convert csv to excel in python using REST API;
  • how to convert csv file to xls spreadsheet file using python;
  • Programmatically upload and download csv file in python;

Moreover, you can explore more about the Python spreadsheet API using the documentation. We have a Swagger-based API Reference Explorer to know more about our spreadsheet REST API. You can try the CSV to XLSX Python library with real-time data using this user-friendly Swagger interface as shown in the below image.

Ask a question

If you have any questions about CSV to XLSX converter, please feel free to ask in Free Support Forum and it will be answered within a few hours.

See Also

We also recommend following related links of supported document conversions and file formats: