mt-io 0.0.3

Readers for various magnetotelluric data file types from various data loggers

mt-io

Version: 0.0.3

This package is meant to be a repository for readers for various magnetotelluric data file types from various data loggers including:

Data Logger	File Type	Reader	Maturity
LEMI 424	txt	Y	medium
LEMI 423	B423	Y	medium
LEMI 417	?	In progress	weak
Metronix	atss	Y	medium
Metronix	ats	In progress	weak
MiniSEED	mseed	Y	strong
NIMS	bin	Y	strong
Phoenix MTU-5C	td_*, JSON, bin	Y	medium
Phoenix MTU-5A	tbl*	Y	medium
UoA PR6-24	BX, BY, BZ, EX, EY	Y	medium
UoA Orange	binary	Y	medium
USGS ASCII	ascii	Y	medium
ZEN	z3d	Y	strong

This package will read the data into either a mt_timeseries.ChannelTS or a mt_timeseries.RunTS object depending on the data included in the file.

Newer Readers

Recent additions include newer LEMI and University of Adelaide readers:

• mt_io.lemi.read_lemi423 for LEMI-423 B423 files
• mt_io.lemi.read_lemi424 for LEMI-424 ASCII text files
• mt_io.uoa.read_uoa for PR6-24 Earth Data Logger channel files
• mt_io.uoa.read_orange for legacy Orange Box binary files

These readers return mt_timeseries.RunTS objects and are covered by the current test suite.

Installation

From Source

git clone https://github.com/kujaku11/mt-io.git
cd mt-io
pip install .

For development installation with editable mode:

pip install -e .

Note: This package is currently in development. PyPI and conda-forge releases will be available in future versions.

Issues

If you encounter any problems or have suggestions for improvements, please report issues on the GitHub Issues page.

When reporting an issue, please include:

• A clear description of the problem
• Steps to reproduce the issue
• Expected vs. actual behavior
• Your Python version and operating system
• Relevant code snippets or error messages

Contributing

Contributions are welcome! To contribute:

1. Fork the repository on GitHub
2. Create a new branch for your feature or bug fix (git checkout -b feature/your-feature-name)
3. Make your changes and commit them with clear, descriptive messages
4. Add tests for any new functionality
5. Ensure all tests pass
6. Push your branch to your fork (git push origin feature/your-feature-name)
7. Submit a pull request to the main repository

Please ensure your code follows the project's coding standards and includes appropriate documentation.

For major changes, please open an issue first to discuss what you would like to change.

Test Data

If you have a small data set contribute to the repository here.