Export LISTOBJECT to JPG from Excel

Python library for exporting LISTOBJECT to JPG file

Use Export API of Cells Cloud to export Excel file internal object workflows in Python. This is a professional solution to export LISTOBJECT to JPG format file from spreadsheet online using Python.

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Export LISTOBJECT object to JPG format file using Cells Cloud SDK for Python

API
POST
https://api.aspose.cloud/v3.0/cells/export
Try it

Export LISTOBJECT object to JPG file from Excel file is a complex task. Export LISTOBJECT to JPG format transitions is performed by our Python SDK while maintaining the source LISTOBJECT spreadsheet's main structural and logical content. Our Python library is a professional solution to export LISTOBJECT objects to JPG format files online. This Cloud SDK gives Python developers powerful functionality and perfect JPG output.

Code example in Python using REST API to export LISTOBJECT to JPG format from spreadsheet

# For complete examples and data files, please go to https://github.com/aspose-cells-cloud/aspose-cells-cloud-python/
    import os
    import base64
    from asposecellscloud.apis.light_cells_api import LightCellsApi
    cells_api = LightCellsApi(os.getenv('ProductClientId'),os.getenv('ProductClientSecret'))
    files ={ 
        "myDocument.xlsx" :  "c:/myDocument.xlsx",
        "Book1.xlsx" :  "c:/Book1.xlsx" 
        }
    result = cells_api.post_export(files ,"listobject","jpg")
    base64_string  = result.files[0].file_content
    base64_bytes = base64_string.encode("ascii")
    sample_string_bytes = base64.b64decode(base64_bytes)
    f = open(result.files[0].filename, 'w+b')
    f.write(sample_string_bytes)
    f.close()

How to use Cells Cloud SDK for Python to export objects from Excel LISTOBJECT to JPG

  1. Register an account at Dashboard to get free API quota & authorization details
  2. Initialize the Cells API with your Client ID, Client Secret, Base URL, and API version.
  3. Call post_export method to get the resultant stream

System Requirements

  1. Python 2.7 or newer
  2. Python 3.10 or newer