mikeio 2.0b1

A package that uses the DHI dfs libraries to create, write and read dfs and mesh files.

MIKE IO: input/output of MIKE files in Python

Read, write and manipulate dfs0, dfs1, dfs2, dfs3, dfsu and mesh files.

MIKE IO facilitates common data processing workflows for MIKE files in Python.

Requirements

• Windows or Linux operating system
• Python x64 3.8 - 3.12
• (Windows) VC++ redistributables (already installed if you have MIKE)

More info about dependencies

Installation

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:warning: Don't use conda to install MIKE IO!, the version on conda is outdated.

Getting started

The material from the last Academy by DHI course is available here: Getting started with Dfs files in Python using MIKE IO

Where can I get help?

• Documentation - https://dhi.github.io/mikeio/
• General help, new ideas and feature requests - GitHub Discussions
• Bugs - GitHub Issues

Tested

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 ========

Cloud enabled

It is possible to run MIKE IO in your favorite cloud notebook environment e.g. Deepnote, Google Colab, etc...