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 3.8 - 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 3.11.1-final-0 -----------
Name Stmts Miss Cover
-----------------------------------------------------
mikeio/__init__.py 38 2 95%
mikeio/base.py 26 5 81%
mikeio/data_utils.py 111 5 95%
mikeio/dataarray.py 992 152 85%
mikeio/dataset.py 772 100 87%
mikeio/dfs0.py 299 24 92%
mikeio/dfs1.py 67 3 96%
mikeio/dfs2.py 188 8 96%
mikeio/dfs3.py 186 26 86%
mikeio/dfs.py 288 36 88%
mikeio/dfsu/__init__.py 3 0 100%
mikeio/dfsu/dfsu.py 592 56 91%
mikeio/dfsu/factory.py 41 2 95%
mikeio/dfsu/layered.py 180 20 89%
mikeio/dfsu/spectral.py 127 6 95%
mikeio/dfsutil.py 129 15 88%
mikeio/eum.py 1324 12 99%
mikeio/exceptions.py 25 8 68%
mikeio/generic.py 433 16 96%
mikeio/interpolation.py 60 5 92%
mikeio/pfs/__init__.py 4 0 100%
mikeio/pfs/pfsdocument.py 242 16 93%
mikeio/pfs/pfssection.py 220 9 96%
mikeio/spatial/FM_geometry.py 1118 102 91%
mikeio/spatial/FM_utils.py 293 30 90%
mikeio/spatial/__init__.py 0 0 100%
mikeio/spatial/crs.py 50 4 92%
mikeio/spatial/geometry.py 90 33 63%
mikeio/spatial/grid_geometry.py 558 42 92%
mikeio/spatial/utils.py 38 0 100%
mikeio/spectral.py 90 5 94%
mikeio/track.py 100 14 86%
mikeio/xyz.py 12 0 100%
-----------------------------------------------------
TOTAL 8696 756 91%
=========== 697 passed, 3 warnings in 46.01s ========
It is possible to run MIKE IO in your favorite cloud notebook environment e.g. Deepnote, Google Colab, etc...
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