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CSV

Create CSV Documents via Python

Native and high performance CSV (Comma Separated Values) creation programmatically using Python APIs.

Generating CSV file dynamically within running application is easy. In order to create CSV documents from scratch without requiring MS Office, we will use

Aspose.Cells for Python

API that offers different features for spreadsheets creation, manipulation and conversion using Python platform. Developers can easily enhance code for writing data, generating charts or graphs as well as creating table in spreadsheets.

How to Create CSV via Python

It is easy for the developers to create, load, modify and convert CSV (Comma Separated Values) within running different reporting applications for data processing in just a few lines of code.

  1. Import asposecells in your code file.
  2. Create Workbook class instance.
  3. Access the first worksheet of the workbook.
  4. Get the desired cell(s) of the worksheet and input the value into the cell(s).
  5. Use Save method to save the workbook as CSV file.

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 via Java from pypi, use command as: $ pip install aspose-cells.
 

Following source code shows how to create a CSV file using Python.


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

// Create Workbook object.
workbook = Workbook(FileFormatType.CSV)

// Access the first worksheet of the workbook.
worksheet = workbook.getWorksheets().get(0)

// Get the desired cell(s) of the worksheet and input the value into the cell(s).
worksheet.getCells().get("A1").putValue("ColumnA")
worksheet.getCells().get("B1").putValue("ColumnB")
worksheet.getCells().get("A2").putValue("ValueA")
worksheet.getCells().get("B2").putValue("ValueB")

// Save the workbook as CSV file.
workbook.save("output.csv")

jpype.shutdownJVM()
 
An Excel Spreadsheet Programming Library capable of building cross-platform applications with the ability to generate, modify, convert, render and print CSV files. Python API not only convert between spreadsheet formats, it can also render Excel files as images, PDF, HTML, ODS and more, thus making it a perfect choice to exchange documents in industry-standard formats.

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 Spreadsheet Generation

You can also create other Microsoft Excel formats including few listed below.

XLS (Microsoft Excel Spreadsheet (Legacy))
XLSX (Open XML Workbook)
XLSB (Excel Binary Workbook)
XLSM (Macro-enabled Spreadsheet)
XLT (Excel 97 - 2003 Template)
XLTX (Excel Template)
XLTM (Excel Macro-Enabled Template)
CSV (Comma Separated Values)
TSV (Tab Separated Values)
ODS (OpenDocument Spreadsheet)