Convert CSV to NUMBERS in Python Excel Library
High-speed Python excel library for converting CSV to NUMBERS. Use our excel conversion API to develop high-level, platform independent software in Python.
Aspose.Cells for Python
Overview
Convert CSV to NUMBERS in Python Excel Library
How do I convert CSV to NUMBERS? With Aspose.Cells for Python via NET library, you can easily convert CSV to NUMBERS 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 CSV to NUMBERS in Python Excel Library
The following example demonstrates how to convert CSV to NUMBERS in Python excel library.
Follow the easy steps to convert CSV to NUMBERS. Upload your CSV file, then simply save it as NUMBERS file. For both CSV reading and NUMBERS writing you can use fully qualified filenames. The output NUMBERS content and formatting will be identical to the original CSV document.
import aspose.cells
from aspose.cells import Workbook
workbook = Workbook("Input.xlsx")
workbook.save("Output.pdf")
How to Convert CSV to NUMBERS
Need to convert CSV files to NUMBERS programmatically? Python developers can easily load & convert CSV to NUMBERS in just a few lines of code.
- Install ‘Aspose.Cells for Python via .NET’.
- Add a library reference (import the library) to your Python project.
- Load CSV file with an instance of Workbook.
- Convert CSV to NUMBERS by calling Workbook.save method.
- Get the conversion result of CSV to NUMBERS.
Python Excel Library to Convert CSV to NUMBERS
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.
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 MoreNUMBERS What is NUMBERS File Format?
The files with .numbers extension are classified as spreadsheet file type, that's why they are similar to the .xlsx files; but the Numbers files are created by using Apple iWork Numbers spreadsheet software. The Apple iWork Numbers is a unit software of the iWork Productivity Suite. The iWork Productivity Suite is equivalent to the Microsoft Office Suite that is used on Windows PCs. Hence, we can say the Numbers which is available for MacOS is also a competitor of Microsoft Excel. Likewise, Microsoft Excel, the NUMBERS file may also contain the tables, charts and formulas.
Read MoreOther Supported Conversions
You can also convert CSV to many other file formats including few listed below.