# metgrs **Repository Path**: longtsing/metgrs ## Basic Information - **Project Name**: metgrs - **Description**: The Python Package in The Ground-based Remote Sensing Data Operation - **Primary Language**: Python - **License**: GPL-3.0 - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2025-06-28 - **Last Updated**: 2025-11-08 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # about The Python Package work for The Ground-based Remote Sensing Data Operation. The Python Package mainly work for China Ground-based Remote Sensing Data Operation System. But It will suit for the Europen or USA instruments in future. # # Main features 1. Read microwave radiometer, millimeter wave cloud radar, wind profile radar, lidar data 2. Generate secondary products based on the above products 3. Data visualization 开源代码地址: [metgrs github](https://github.com/longtsing/metgrs) 文档地址:[metgrs document](https://longtsing.github.io/metgrs/) pypi发布地址:[metgrs pypi](https://pypi.org/project/metgrs/) # 安装 可以通过以下命令安装metgrs: ```shell pip install metgrs ``` # 其他说明 ## 环境管理与包安装 其中 mamba == conda 两者接口一致,但 mamba 比 conda 更快,建议使用 mamba 管理环境安装依赖可以从 [https://conda-forge.org/miniforge/](https://conda-forge.org/miniforge/) 下载安装(建议使用 Miniforge)。 ## 依赖库 metgrs以高内聚低耦合思想开发,主要在 python3.9 环境下开发,依赖于以下第三方库: - numpy - pandas - xarray - matplotlib - joblib - python-dateutil 可以通过以下命令创建环境并安装依赖: ```shell mamba create -n metgrs python==3.9 numpy pandas xarray matplotlib joblib python-dateutil -c conda-forge -y ``` ## jupyter lab 运行环境安装 ```shell mamba create -n runtime python==3.12 jupyterlab==4.2.6 jupyterlab-lsp python-lsp-server jupyterlab-language-pack-zh-cn jupyterlab-git nb_conda -c conda-forge -y ``` ## 开发环境安装 ```shell mamba create -n devmetgrs python==3.9 numpy xarray pandas geopandas scipy dask metpy matplotlib cartopy cnmaps sympy nb_conda scikit-learn pytest pytest-cov pytest-xdist flake8 black pre-commit build twine -c conda-forge -y ``` ## 特别说明 在国内使用清华源安装metgrs及依赖库时,可能会出现403错误,这是因为清华源的问题,切换到其他源即可。 镜像源汇总 https://help.mirrors.cernet.edu.cn/