Getting started with dfs files in Python


An instructor-led course in Denmark

Learn how to efficiently read, write and perform data analysis on data stored in dfs files using Python. 

Course details


This in-person course is divided into two 4-hour training sessions. 

Module 1 | Timeseries dfs0
Topics: Installation, Dataset, timeseries (dfs0)

Module 2 | Generic and dfs1
Topics: The DFS files format, Generic dfs processing, line series (dfs1)

Module 3 | dfs2
Topics: Gridded 2D data (dfs2)

Module 4 | dfs 2D
Topics: Flexible mesh data


Henrik is a Senior Innovation Engineer with experience in biogeochemical modeling, statistical analysis, scientific programming, web development, and biogeochemical sampling. He has been involved in several international research projects as well as commercial projects related to data assimilation and marine forecasting.

PhD Utrecht University, MSc Gothenburg University

Jesper is a data & modelling specialist at DHI with a PhD background in applied mathematics, hydrodynamics and scientific computing. He has been with DHI since 2009 and has worked with data assimilation, data science, machine learning, scientific software development, marine forecasting, metocean data and wave model development.

PhD, MSc Technical University of Denmark

Pricing tiers

Regular Registration

675 excl. VAT
  • Training certificate upon completion

Discounted Registration*

600 excl. VAT
  • Training certificate upon completion

Student Registration

150 excl. VAT
  • Training certificate upon completion

*Customers with an active SMA or subscription

Discover MIKE IO for Python

Easily read, write and analyse dfs and mesh files

Utilise flexible data processing and visualisation

Facilitate scripting and automation of water modelling workflows

Take advantage of convenient context-aware plotting

Convert data to / from a variety of 3rd party data formats

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