Sigmt

What's Changed
* refactor: making some code readability optimizations in plots.py by arjunlalb in https://github.com/ajithabhks/sigmt/pull/25
* Fix incorrect coherency plot labels by ajithabhks in https://github.com/ajithabhks/sigmt/pull/27
* Adding more docstrings and comments by ajithabhks in https://github.com/ajithabhks/sigmt/pull/30
* Fix hardcoded assignment of periods_per_decade by ajithabhks in https://github.com/ajithabhks/sigmt/pull/31
* chore: Add PyPI version badge to README.md by ajithabhks in https://github.com/ajithabhks/sigmt/pull/32


**Full Changelog**: https://github.com/ajithabhks/sigmt/compare/v2.0.3...v2.0.4

What's Changed
* Enhancement in the Robust Estimation by ajithabhks in https://github.com/ajithabhks/sigmt/pull/21

**Full Changelog**: https://github.com/ajithabhks/sigmt/compare/v2.0.2...v2.0.3

This update addresses an issue where the variance calculation function was encountering a negative value under the square root, resulting in NaN values. These NaNs were subsequently printed in the EDI outputs, causing inconsistencies.

What's Changed
* Update README.md with Metronix test data link by ajithabhks in https://github.com/ajithabhks/sigmt/pull/11
* Solve invalid value in variance calculation by ajithabhks in https://github.com/ajithabhks/sigmt/pull/15


**Full Changelog**: https://github.com/ajithabhks/sigmt/compare/v2.0.1...v2.0.2

What's Changed
* Fixing GUI crash due to insufficient data when PD is applied by ajithabhks in https://github.com/ajithabhks/sigmt/pull/6


**Full Changelog**: https://github.com/ajithabhks/sigmt/compare/v2.0.0...v2.0.1

This release marks the significant upgrade of SigMT to version 2.0. Below are the key features introduced in this version:

**Graphical User Interface (GUI)**: The tool now has an easy-to-use GUI, enhancing user interaction.
**Python Package**: SigMT has been packaged as a proper Python module, and users can now install it easily via pip.
**Improved Performance**: SigMT 2.0 boasts optimized performance, ensuring faster computations and smoother operations.
**Minimal RAM Usage**: It ensures minimal memory usage, making it suitable even for systems with limited resources.
**Expandable Data Support**: The architecture has been designed with the flexibility to support additional data types and instruments in the future.
**Modular Structure**: SigMT is now more modular, improving maintainability and extensibility.
**Project-based Setup**: Users can organize their work in a project-wise structure, enhancing workflow efficiency.
**Supported Coils**: Version 2.0 supports MFS06, MFS06e, and MFS07e coils.
**Remote Measurement Selection**: Users now have the ability to pick remote measurements, offering greater customization in data processing.

The version just before releasing the v2.0 which is based on GUI.