semvec/pypi-packages huggingface dataset:
mt4forexparser 1.1.41
Read forex data in MetaTrader 4 .hst-format and convert into .csv file and pandas dataframe. Also you can draw an interactive chart.
License: MIT
Keywords: forex,broker,history,csv,stock,trade,candlestick,chart,parser,MetaTrader,MetaTrader4

GitHub Pages: https://tim55667757.github.io/MT4ForexParser
haros-plugin-rv-gen 1.0.0
HAROS plugin to enable Runtime Verification from HPL properties
License: MIT
Requires Python: >=3.8, <4
Keywords: haros,ros,runtime verification,runtime monitoring,code generation

# HAROS RV Generation Plugin

This package provides a [HAROS](https://github.com/git-afsantos/haros) plugin to generate runtime monitors based on [HPL](https://github.com/git-afsantos/hpl-specs) specifications.
In essence, this plugin is just a wrapper for the [HPL RV ROS](https://github.com/HAROS-framework/hpl-rv-ros) library.

## Installing

Installing a pre-packaged release:

```bash
pip install haros-plugin-rv-gen
```

Installing from source:

```bash
git clone https://github.com/git-afsantos/haros-plugin-rv-gen.git
cd haros-plugin-rv-gen
pip install -e .
```

## Usage

Annotate systems and nodes with HPL properties in HAROS files to have runtime monitor generation take place.

Generated monitors can be found in the `export` directory of the HAROS home directory (e.g., `~/.haros/export/haros_plugin_rv_gen`).

## Bugs, Questions and Support

Please use the [issue tracker](https://github.com/git-afsantos/haros-plugin-rv-gen/issues).

## Contributing

See [CONTRIBUTING](./CONTRIBUTING.md).
pyatmoslogger 0.3
Python Data Logger for Atmospheric Application
License: MIT

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Documentation Status](https://readthedocs.org/projects/pyatmoslogger/badge/?version=latest)](https://pyatmoslogger.readthedocs.io/en/latest/?badge=latest)
[![DOI](https://zenodo.org/badge/633838435.svg)](https://zenodo.org/badge/latestdoi/633838435)

<img src="https://raw.githubusercontent.com/marcusgmueller/pyAtmosLogger/master/docs/_static/images/pyAtmosLogger.png" width="200" style="margin: 20px 10px"/>

> **Warning**
> This software is still in development.

Python data logger for Atmospheric Application. This software allows data logging for multiple types of atmospherical instruments with a simple python-based syntax. Data can be automaticly converted to NetCDF-fileformat.

# Documentation

The official documentation is available [here](https://pyatmoslogger.readthedocs.io/en/latest/index.html).
pyweatherlite 0.1.0
A lightweight python library to extract weather data
License: MIT

# pyweatherlite Documentation

[![License](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)
[![GitHub stars](https://img.shields.io/github/stars/Terre8055/pycloudlib.svg)](https://github.com/Terre8055/pycloudlib/stargazers)
[![GitHub forks](https://img.shields.io/github/forks/Terre8055/pycloudlib.svg)](https://github.com/Terre8055/pycloudlib/network)
[![GitHub issues](https://img.shields.io/github/issues/Terre8055/pycloudlib.svg)](https://github.com/Terre8055/pycloudlib/issues)

A lightweight Python library to extract weather data from OpenWeatherMap.

## Table of Contents

- [Introduction](#introduction)
- [Installation](#installation)
- [Usage](#usage)
  - [Getting Started](#getting-started)
  - [API Reference](#api-reference)
- [Contributing](#contributing)
- [License](#license)
- [Credits](#credits)

## Introduction

`pyweatherlite` is a simple and easy-to-use Python library that allows you to retrieve weather data from OpenWeatherMap. It provides convenient methods to access various weather attributes such as temperature, humidity, pressure, wind speed, and more.

Key features:

- Lightweight and easy to integrate into your projects.
- Flexible configuration to use your API key and location for weather data retrieval.
- Support for fetching weather data based on latitude and longitude.

## Installation

You can install `pyweatherlite` using `pip`:


## Usage

### Getting Started

To use `pyweatherlite`, you'll need to sign up for an API key from OpenWeatherMap (https://openweathermap.org/api). Once you have the API key, you can use the library to retrieve weather data for various attributes.

Here's a simple example to get the current temperature:

```python
from pyweatherlite.index import Scaffold, LegacyScaffold

# Set your OpenWeatherMap API key and City
api_key = "YOUR_API_KEY"
city = "YOUR_CITY_NAME"

# Create a WeatherFetcher instance
inst = Scaffold()

# Get the current temperature for a specific city
temperature = inst.get_temp(pkey=apikey, city="London")

print(f"The current temperature in London is {temperature}°C.")

# Assuming you have your city coordinates then use LegacyScaffold
inst = LegacyScaffold()

api_key = "YOUR_API_KEY"
longitude = "YOUR_LONGITUDE_COORD"
latitude = "YOUR_LATITUDE_COORD"

# Get the current temperature for a specific coordinates
temperature = inst.get_temp(pkey=apikey, lon=longitude, lat=latitude)

print(f"The current temperature is {temperature}°C.")
```
### Contributing

We welcome contributions from the community! If you have any bug fixes, improvements, or new features to add, feel free to open a pull request on our GitHub repository. Please ensure that your code follows the project's coding guidelines.

### License

This project is licensed under the MIT License. 

### Credits

    Author: Michael Appiah Dankwah (https://github.com/Terre8055)
gspatial-tools 0.1.0
Set of utility tools built on top of Geopandas, Xarray, Rasterio and Rioxarray
License: MIT
Keywords: geospatial utilities geopandas rasterio rioxarray xarray

# gspatial_tools

[![License](https://shields.io/badge/license-MIT-green.svg)](https://opensource.org/licenses/MIT)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![Downloads](https://static.pepy.tech/badge/gspatial-tools)](https://pepy.tech/project/gspatial-tools)
[![Documentation Status](https://readthedocs.org/projects/gspatial-tools/badge/?version=latest)](https://gspatial-tools.readthedocs.io/en/latest/?badge=latest)

gspatial_tools is a library of utility functions written on top of 
geopandas, xarray, rasterio and rioxarray. It makes a lot of things we 
want to do easier
gspatial-plot is licensed under MIT License.

# Features

1. Generate Lat Lon grid at specific resolution

2. Filter points based on radius

3. Bulk Clip and Save Raster Files

4. Reproject Raster Files

5. Stitch Multiple Raster Files in same CRS

6. Read Raster File directly to GeoDataFrame

7. Convert Xarray to GeoDataFrame

8. Clip each geometry by rectangle/bbox

9. Sample points inside polygons

10. Sample points inside bbox

11. Sample points data from raster without loading the entire dataset

12. Get K nearest points along with distance and indices for each point in a GeoDataFrame

13. Move and Scale a polygon/shape from a GeoDataFrame

# Installing

`pip install gspatial-tools`

# Documentation

https://gspatial-tools.readthedocs.io

# PyPi

[gspatial-tools · PyPI](https://pypi.org/project/gspatial-tools/)