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Convert DBF to CSV in Python Excel Library

High-speed Python excel library for converting DBF to CSV. Use our excel conversion API to develop high-level, platform independent software in Python.

 

Aspose.Cells for Python Aspose.Cells for Python

Overview

Convert DBF to CSV in Python Excel Library

How do I convert DBF to CSV? With Aspose.Cells for Python via NET library, you can easily convert DBF to CSV programmatically with a few lines of code. Aspose.Cells for Python via NET is capable of building cross-platform applications with the ability to generate, modify, convert, render and print all Excel files. Python Excel API not only convert between spreadsheet formats, it can also render Excel files as images, PDF, HTML, ODS, CSV, SVG, JSON, WORD, PPT and more, thus making it a perfect choice to exchange documents in industry-standard formats.

Save DBF to CSV in Python Excel Library

The following example demonstrates how to convert DBF to CSV in Python excel library.

Follow the easy steps to convert DBF to CSV. Upload your DBF file, then simply save it as CSV file. For both DBF reading and CSV writing you can use fully qualified filenames. The output CSV content and formatting will be identical to the original DBF document.

Sample Code to Convert DBF to CSV via Python Excel Library
Input file
Convert
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  import  aspose.cells
  from aspose.cells import Workbook
  workbook = Workbook("Input.xlsx")
  workbook.save("Output.pdf")
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How to Convert DBF to CSV

Need to convert DBF files to CSV programmatically? Python developers can easily load & convert DBF to CSV in just a few lines of code.

  1. Install ‘Aspose.Cells for Python via .NET’.
  2. Add a library reference (import the library) to your Python project.
  3. Load DBF file with an instance of Workbook.
  4. Convert DBF to CSV by calling Workbook.save method.
  5. Get the conversion result of DBF to CSV.

Python Excel Library to Convert DBF to CSV

We host our Python packages in PyPi repositories.

Install Aspose.Cells for Python from pypi, use command as: $ pip install aspose-cells-python.

And you can also follow the step-by-step instructions on how to install “Aspose.Cells for Python via .NET” to your developer environment.

System Requirements

Aspose.Cells for Python via NET is platform-independent API and can be used on any platform (Windows, Linux), just make sure that system have Python 3.7 or higher.

DBF What is DBF File Format?

{{$Config/FileRef/dbf.txt}}

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CSV What is CSV File Format?

Files with .csv (Comma Separated Values) extension represent plain text files that contain records of data with comma separated values. Each line in a CSV file is a new record from the set of records contained in the file. Such files are generated when data transfer is intended from one storage system to another. Since all applications can recognize records separated by comma, import of such data files to database is done very conveniently. Almost all spreadsheet applications such as Microsoft Excel or OpenOffice Calc can import CSV without much effort. Data imported from such files is arranged in cells of a spreadsheet for representation to user.

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Other Supported Conversions

You can also convert DBF to many other file formats including few listed below.

DBF TO BMP (Bitmap Image)
DBF TO EMF (Enhanced Metafile Format)
DBF TO GIF (Graphical Interchange Format)
DBF TO HTML (Hyper Text Markup Language)
DBF TO MD (Markdown Language)
DBF TO MHTML (Web Page Archive Format)
DBF TO ODS (OpenDocument Spreadsheet File)
DBF TO PDF (Portable Document Format)
DBF TO PNG (Portable Network Graphics)
DBF TO SVG (Scalable Vector Graphics)
DBF TO TIFF (Tagged Image Format)
DBF TO TSV (Tab-Separated Values)
DBF TO TXT (Text Document)
DBF TO XLS (Excel Binary Format)
DBF TO XLSB (Binary Excel Workbook File)
DBF TO XLSM (Spreadsheet File)
DBF TO XLSX (OOXML Excel File)
DBF TO XLT (Microsoft Excel Template)
DBF TO XLTM (Excel Macro-enabled Template)
DBF TO XLTX (Office OpenXML Excel Template)
DBF TO XML (Extensible Markup Language)
DBF TO XPS (XML Paper Specifications)
DBF TO JSON (JavaScript Object Notation)