Skip to main content

A powerful library for manipulating and converting Excel (XLS, XLSX, XLSB), ODS, CSV and HTML files.

Project description

Aspose.Cells for Python via Java is a scalable and feature-rich API to process Excel spreadsheets using Python. API offers Excel file creation, manipulation, conversion, & rendering. Developers can format worksheets, rows, columns or cells to the most granular level, create & manipulate chart & pivot tables, render worksheets, charts and specific data ranges to PDF & images, add & calculate Excel’s builtin and custom formulas and much more - all without any dependency on Microsoft Office or Excel application.

Python Excel API Features

  • Create Excel files via API.
  • Create & refresh Pivot Tables & charts.
  • Create & manipulate sparklines & conditional formatting.
  • Convert charts to images or PDF.
  • Manage comments & hyperlinks.
  • Set complex formulas & calculate results via API.
  • Set protection on workbook, worksheet, cell, column or row.
  • Create & manipulate named ranges.
  • Populate worksheets through Smart Markers.
  • Convert worksheets to PDF, XPS & SVG formats.
  • Inter-convert files to popular Excel formats.

Read & Write Excel Files

Microsoft Excel: XLS, XLSX, XLSB, XLTX, XLTM, XLSM, XML OpenOffice: ODS Text: CSV, Tab-Delimited, TXT, JSON Web: HTML, MHTML

Save Excel Files As

Fixed Layout: PDF, XPS Images: JPEG, PNG, BMP, SVG, TIFF, GIF, EMF Text: CSV, Tab-Delimited, JSON, SQL, XML

Create Excel File from Scratch using Python

import jpype
import asposecells
jpype.startJVM()
from asposecells.api import Workbook, FileFormatType

workbook = Workbook(FileFormatType.XLSX)
workbook.getWorksheets().get(0).getCells().get("A1").putValue("Hello World")
workbook.save("output.xlsx")

jpype.shutdownJVM()

Convert Excel XLSX File to PDF using Python

import jpype
import asposecells
jpype.startJVM()
from asposecells.api import Workbook, FileFormatType, PdfSaveOptions

workbook = Workbook("example.xlsx")
saveOptions = PdfSaveOptions()
saveOptions.setOnePagePerSheet(True)
workbook.save("example.pdf", saveOptions)

jpype.shutdownJVM()

Create Excel Chart & Convert to Image via Python

import jpype
import asposecells
jpype.startJVM()
from asposecells.api import Workbook, Chart, ChartType, ImageOrPrintOptions

workbook = Workbook()
sheet = workbook.getWorksheets().get(0)
cells = sheet.getCells()
cells.get(0, 1).putValue("Income")
cells.get(1, 0).putValue("Company A")
cells.get(2, 0).putValue("Company B")
cells.get(3, 0).putValue("Company C")
cells.get(1, 1).putValue(10000)
cells.get(2, 1).putValue(20000)
cells.get(3, 1).putValue(30000)
chartIndex = sheet.getCharts().add(ChartType.COLUMN, 9, 9, 21, 15)
chart = sheet.getCharts().get(chartIndex)
chart.getNSeries().add("B2:B4", True)
chart.getNSeries().setCategoryData("A2:A4")
aSeries = chart.getNSeries().get(0)
aSeries.setName("=B1")
chart.setShowLegend(True)
chart.getTitle().setText("Income Analysis")

options = ImageOrPrintOptions()
options.setHorizontalResolution(300)
options.setVerticalResolution(300)
chart.toImage("chart.png", options)

jpype.shutdownJVM()

Product Page | Documentation | Blog | API Reference | Code Samples | Free Support | Temporary License | EULA

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

aspose-cells-22.5.0.tar.gz (12.2 MB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page