Read, write and manipulate dfs0, dfs1, dfs2, dfs3, dfsu and mesh files.
MIKE IO facilitates common data processing workflows for MIKE files in Python.
From PyPI:
pip install mikeio
Or development version:
pip install https://github.com/DHI/mikeio/archive/main.zip
:warning: Don't use conda to install MIKE IO!, the version on conda is outdated.
The material from the last Academy by DHI course is available here: Getting started with Dfs files in Python using MIKE IO
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...