Note
Instructor-led course
Getting started with MIKE IO for Python processing of dfs files
From 4th September 2024 to 2nd October 2024
Read, write and manipulate dfs0, dfs1, dfs2, dfs3, dfsu and mesh files.
MIKE IO facilitates common data processing workflows for MIKE files in Python.
- Windows or Linux operating system
- Python x64 3.9 - 3.12
- (Windows) VC++ redistributables (already installed if you have MIKE)
From PyPI:
pip install mikeio
Or development version:
pip install https://github.com/DHI/mikeio/archive/main.zip
The material from the last Academy by DHI course is available here: Getting started with Dfs files in Python using MIKE IO
- Documentation - https://dhi.github.io/mikeio/
- General help, new ideas and feature requests - GitHub Discussions
- Bugs - GitHub Issues
MIKE IO is tested extensively.
See detailed test coverage report below:
---------- coverage: platform linux, python 3.12.4-final-0 -----------
Name Stmts Miss Cover
-------------------------------------------------------------
mikeio/__init__.py 31 3 90%
mikeio/_interpolation.py 68 6 91%
mikeio/_spectral.py 97 7 93%
mikeio/_time.py 29 1 97%
mikeio/_track.py 103 14 86%
mikeio/dataset/__init__.py 3 0 100%
mikeio/dataset/_data_plot.py 358 38 89%
mikeio/dataset/_data_utils.py 20 0 100%
mikeio/dataset/_dataarray.py 730 52 93%
mikeio/dataset/_dataset.py 734 57 92%
mikeio/dfs/__init__.py 5 0 100%
mikeio/dfs/_dfs0.py 198 13 93%
mikeio/dfs/_dfs1.py 58 2 97%
mikeio/dfs/_dfs2.py 132 3 98%
mikeio/dfs/_dfs3.py 147 9 94%
mikeio/dfs/_dfs.py 290 18 94%
mikeio/dfsu/__init__.py 6 0 100%
mikeio/dfsu/_common.py 36 1 97%
mikeio/dfsu/_dfsu.py 223 7 97%
mikeio/dfsu/_factory.py 20 1 95%
mikeio/dfsu/_layered.py 190 7 96%
mikeio/dfsu/_mesh.py 54 8 85%
mikeio/dfsu/_spectral.py 214 36 83%
mikeio/eum/__init__.py 2 0 100%
mikeio/eum/_eum.py 1334 9 99%
mikeio/exceptions.py 24 4 83%
mikeio/generic.py 451 17 96%
mikeio/pfs/__init__.py 8 0 100%
mikeio/pfs/_pfsdocument.py 248 13 95%
mikeio/pfs/_pfssection.py 223 9 96%
mikeio/spatial/_FM_geometry.py 521 24 95%
mikeio/spatial/_FM_geometry_layered.py 415 30 93%
mikeio/spatial/_FM_geometry_spectral.py 94 9 90%
mikeio/spatial/_FM_utils.py 275 22 92%
mikeio/spatial/__init__.py 6 0 100%
mikeio/spatial/_geometry.py 78 8 90%
mikeio/spatial/_grid_geometry.py 639 45 93%
mikeio/spatial/_utils.py 39 0 100%
mikeio/spatial/crs.py 51 5 90%
mikeio/xyz.py 14 0 100%
-------------------------------------------------------------
TOTAL 8168 478 94%
It is possible to run MIKE IO in your favorite cloud notebook environment e.g. Deepnote, Google Colab, etc...
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