A collection of jupyter notebooks with metloom examples
Metloom (Location Oriented Observed Meteorology) is a python package containing a collection of classes that allow for standardized retrieval of station data from multiple data sources. The codeset for metloom can be found on github and the documentation can be found on readthedocs. Metloom is available for install through pypi.
The installation, testing, and development instructions can be found on github or readthedocs.
Metloom has been tested on mac and linux and requires python >=3.7
This repository is designed to walk through some examples of
how metloom may be leveraged for a variety of use cases. The
notebooks are best run using jupyter notebook which can be installed
with pip install notebook and run from the command line with
jupyter notebook as explained here.
- Intro, install and structure
- Pulling timeseries data
- Finding relevant stations
- Extra, saving data and extending classes
If you are working from an existing jupyter hub, you can clone this package in using
git clone https://github.com/M3Works/metloom-tutorial.git
And interact with the tutorials from there