semvec/pypi-packages huggingface dataset:
pbay 1.0.1
A python driver for PBay board
Requires Python: >=3.4

# py-pbay
A python driver for SPEC Sensors PBay board

# Getting started::
1. Install pyserial
```pip install pyserial```
2. Connect Board & check the board's devpath - e.g. ```/dev/ttyUSB0```.
3. Run example:
```python3 example.py /dev/ttyUSB0```
py-pbay 1.0.0
A python driver for PBay board
Requires Python: >=3.4

# py-pbay
A python driver for SPEC Sensors PBay board

# Getting started::
1. Install pyserial
```pip install pyserial```
2. Connect Board & check the board's devpath - e.g. ```/dev/ttyUSB0```.
3. Run example:
```python3 example.py /dev/ttyUSB0```
json-schema-discovery 1.3.2
Database-agnostic JSON schema discovery
Requires Python: >=3.7,<4.0

Database-agnostic JSON schema discovery

Quickly get insight into the general structure of a large set of JSON files by creating a structure summary showing the type and frequency of objects key


Quickstart
----------

Start with ``Empty`` or by passing a python object to ``make_schema()``

Merge a schema onto another using ``+=`` (also accepts python objects on the right hand side)

Visualize the resulting schema with ``dumps()`` or by printing the object

Get a detailed tabulated view of the overall structure with ``statistics()``
MatchEngine-V2 2.0.0
Open source engine for matching cancer patients to precision medicine clinical trials (V2).
Requires Python: >=3.7

# MatchEngine 
Welcome to the documentation for the matchengine! The Matchengine is a system designed to match cancer patients to genomically driven clinical trials using Clinical Trial Markup Language (CTML) and patient clinical and genomic data. It utilizes the the MatchminerAPI and MatchminerUI for displaying trial match information.


The matchengine can be used on local instances that provide access to private data. If you are interested in the development of new features, or in setting up a local instance of the MatchMiner system, please see the documentation, or contact [matchminer@dfci.harvard.edu](https://app.gitbook.com/@matchminer/s/matchminer)

# Documentation
[https://app.gitbook.com/@matchminer/s/matchminer](https://app.gitbook.com/@matchminer/s/matchminer)
coord-convert 0.2.1
china mars coordinate convertor.
Keywords: coordinate vector china

# China Coordinate Convertor

[![Actions Status](https://github.com/sshuair/coord-convert/workflows/pytest/badge.svg)](https://github.com/sshuair/coord-convert/actions)
[![GitHub stars](https://img.shields.io/github/stars/sshuair/coord-convert)](https://github.com/sshuair/coord-convert/stargazers)
[![GitHub forks](https://img.shields.io/github/forks/sshuair/coord-convert)](https://github.com/sshuair/coord-convert/network)
[![GitHub license](https://img.shields.io/github/license/sshuair/coord-convert)](https://github.com/sshuair/coord-convert/blob/master/LICENSE)

[中国火星坐标](https://en.wikipedia.org/wiki/Restrictions_on_geographic_data_in_China)转换命令行工具，用于`WGS-84`(未偏移坐标), `GCJ-02`（国家测绘局、高德、谷歌中国地图）, `BD-09`(百度坐标系)三者之间的互相转换，支持文件格式：
- ESRI Shapefile
- GeoJSON

  <img src="./assets/all.jpg" width = "100%" height = "100%" alt="图片名称" align=center />

## 安装
推荐使用：
`pip install coord-convert`

或者也可以从源码安装：
```
git clone https://github.com/sshuair/coord-convert.git
pip install -r requirements.txt
python setup.py install
```

## 依赖
- python3
- fiona
- tqdm
- click

## 使用方法
>注意：火星坐标转换是针对经纬度的转换，因此在进行转换前需要将坐标转换成经纬度；比如web墨卡托(3857)等投影坐标系需要先转成经纬度坐标(4326)

### Python API调用
在python程序中调用相应的坐标转换接口

```python
from coord_convert.transform import wgs2gcj, wgs2bd, gcj2wgs, gcj2bd, bd2wgs, bd2gcj 
lon, lat = 120, 40
gcj_lon, gcj_lat = wgs2gcj(lon, lat)
bd_lon, bd_lat = wgs2bd(lon, lat)
print(gcj_lon, gcj_lat) # the result should be: 120.00567568355486 40.0013047896019

```


### 命令行调用
火星坐标转换还支持命令行直接对shp、geojson等文件进行转换，比如

```bash
~/temp > coord_covert gcj2wgs tests/data/Polyline/polyline.geojson aa.geojson
100%|██████████████████████████████████████████████████████| 219/219 [00:00<00:00, 550.93it/s]
```

更详细的用法：
```
convert input china coordinate to another. 

    Arguments:
        convert_type {string} -- [coordinate convert type, e.g. wgs2bd]

            wgs2gcj : convert WGS-84 to GCJ-02
            wgs2bd  : convert WGS-84 to DB-09
            gcj2wgs : convert GCJ-02 to WGS-84
            gcj2bd  : convert GCJ-02 to BD-09
            bd2wgs  : convert BD-09 to WGS-84
            bd2gcj  : convert BD-09 to GCJ-02

        src_path {string} -- [source file path]
        dst_path {string} -- [destination file path]


    Example:
        coord_covert wgs2gcj ./tests/data/polygon/polygon_wgs.shp ~/temp/polygon_gcj.shp 

```