Convert CSV to EMF in Python Excel Library
High-speed Python excel library for converting CSV to EMF. This is a professional software solution to import and export CSV, EMF, and many other formats using Python.
Aspose.Cells for Python
Overview
Convert CSV to EMF Using Python Excel Library
How do I convert CSV to EMF? With Aspose.Cells for Python library, you can easily convert CSV to EMF programmatically with a few lines of code. Aspose.Cells for Python 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 CSV to EMF in Python Excel Library
The following example demonstrates how to convert CSV to EMF in Python excel library.
Follow the easy steps to convert CSV to EMF. Upload your CSV file, then simply save it as EMF file. For both CSV reading and EMF writing you can use fully qualified filenames. The output EMF content and formatting will be identical to the original CSV document.
import jpype
import asposecells
jpype.startJVM()
from asposecells.api import Workbook
workbook = Workbook("Input.xlsx")
workbook.save("Output.pdf")
jpype.shutdownJVM()
How to Convert CSV to EMF via Python
Need to convert CSV files to EMF programmatically? Python developers can easily load & convert CSV to EMF in just a few lines of code.
- Install ‘Aspose.Cells for Python via Java’.
- Add a library reference (import the library) to your Python project.
- Load CSV file with an instance of Workbook.
- Convert CSV to EMF by calling Workbook.save method.
- Get the conversion result of CSV to EMF.
Python Excel Library to Convert CSV to EMF
There are three options to install “Aspose.Cells for Python via Java” onto your system. Please choose one that resembles your needs and follow the step-by-step instructions:
- Install Aspose.Cells for Python via Java in Windows. See Documentation
- Install Aspose.Cells for Python via Java in Linux. See Documentation
- Install Aspose.Cells for Python via Java in macOS. See Documentation
System Requirements
Aspose.Cells for Python via Java is platform-independent API and can be used on any platform (Windows, Linux and MacOS), just make sure that system have Java 1.8 or higher, Python 3.5 or higher.
- Install Java and add it to PATH environment variable, for example:
PATH=C:\Program Files\Java\jdk1.8.0_131;. - Install Aspose.Cells for Python from pypi, use command as:
$ pip install aspose-cells.
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.
Read MoreEMF What is EMF File Format?
Enhanced metafile format (EMF) stores graphical images device-independently. Metafiles of EMF comprises of variable-length records in chronological order that can render the stored image after parsing on any output device. These variable-length records can be definitions of enclosed objects, commands for drawing, and graphics properties critical to render the image accurately. When a device opens an EMF metafile using its own graphics environment, the proportions, dimensions, colors and other graphic properties of original image remains same regardless of the opening device platform.
Read MoreOther Supported Conversions
You can also convert CSV to many other file formats including few listed below.