Bruker XRF PPM Biplot Notebook

Use either an interactive App or a live Jupyter notebook to view geochemical data produced by Bruker Elemental XRF instruments*.

* Not affiliated with Bruker Elemental

Features

• Imports Bruker XRF Results.csv files
• Automatically parses data from the most recent Methods calibration block
• Converts Methods calibration weight % to parts per million (PPM) and LOD=0
• Display the results as a formatted table
• Provides an interactive biplot with selectable X and Y axes
• Export cleaned data to CSV

Usage

Click either the Voila or Binder buttons to launch in your browser then wait about 30 seconds for launch to complete -- no installation required.

Interactive App Only:

Editable Jupyter Notebook:

Offline Use: The notebook can run offline provided that a Python kernel such as Miniconda is available locally, along with the required packages listed below.

Data Format

The notebook expects a Bruker XRF Results.csv file with the following characteristics:

• First column is File #
• Contains a DateTime column formatted as MM-DD-YYYY HH:MM
• Element columns in weight percent
• Below detection limit values marked as < LOD
• Header rows repeated at the start of each calibration Method block

For more information about Bruker XRF instruments see the Bruker XRF Analyzer page.

Requirements

• pandas
• numpy
• plotly
• ipywidgets
• nbformat

Credits

Created by N. Tripcevich with assistance from Claude 4.6 Sonnet