Creating a Python DataPlugin

Download PDF

Updated2024-09-12
2 minute(s) read

The following example shows how you can load a simple CSV file with a Python DataPlugin. First register the DataPlugin in DIAdem and load Example.csv from the Examples folder. Open the Python file to see the basic structures of the Python DataPlugin:

def read_store
This is the main function of the Python DataPlugin. This function converts the input file into a Python dictionary and adds the metadata as normal dictionary properties.
def read_channel_length
This method returns the channel length.
def read_channel_values
This method returns the mass data as one value field.

Click a filename to load this file into DIAdem.

PyCSV_DataPlugin.py	Python script file for the DataPlugin
PyCSV_DataPlugin.uri	DataPlugin for CSV files. You can also register the DataPlugin in DIAdem by double-clicking the URI file in Explorer.
Example.csv	ASCII file. After registering the DataPlugin, you can load the file with the DataPlugin.

Note When this example starts, DIAdem loads example files and overwrites existing data and layouts.

Note To deregister the DataPlugin, use DataPlugin Settings or click here.

DIAdem Help

Table of Contents

Creating a Python DataPlugin

Click a filename to load this file into DIAdem.

Procedures