semvec/pypi-packages huggingface dataset:
tmgtoolkit 0.2.0
Time series analysis of tensiomyography (TMG) data
Requires Python: >=3.9

# TMG Toolkit

Utilities for time-series analysis of tensiomyography (TMG) measurement data.

Features include:

- Extract TMG measurements from a standard TMG Excel file format.
- Compute the standard TMG parameters `Dm`, `Td`, `Tc`, `Ts`, and `Tr` of a time series signal.
- Compute the derivative of a time series signal.
- Find accurate extremum values and times of a time series signal using polynomial interpolation.
- Perform statistical parametric mapping (SPM) analysis of time series signals.
- Plot time series signals and the results of SPM analysis.
cat_logger 0.0.2
Python library to simplify working with the standard logging library
Requires Python: >=3.8

# cat_logger

[![PyPI - Version](https://img.shields.io/pypi/v/cat_logger.svg)](https://pypi.org/project/cat_logger)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/cat_logger.svg)](https://pypi.org/project/cat_logger)

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Python library to simplify working with the standard logging library.

The key features are:

- The library creates a configuration for logging. 
- Writes logs to the console and a file. 
- The file name is the current date. 
- When writing logs to a file, the logging level is taken into account. 
- Can be used to configure logging in Django, Celery, and custom logs.

## Table of Contents

- [Installation](#installation)
- [Example of use](#example-of-use)
- [License](#license)

## Installation

```console
pip install cat_logger
```

## Example of use

### [Using a library with a class](https://github.com/PyBackDev/cat_logger/blob/main/ready_made_solutions/cat_logger_class.py)

### [Using a library with a function](https://github.com/PyBackDev/cat_logger/blob/main/ready_made_solutions/cat_logger_func.py)

## License

`cat_logger` is distributed under the terms of the [MIT](https://spdx.org/licenses/MIT.html) license.