metloom 0.1.2

Location Oriented Observed Meteorology (LOOM)

metloom

Location Oriented Observed Meteorology

metloom is a python library created with the goal of consistent, simple sampling of meteorology and snow related point measurments from a variety of datasources across the Western US.

Warning - This software is provided as is (see the license), so use at your own risk. This is an opensource package with the goal of making data wrangling easier. We make no guarantees about the quality or accuracy of the data and any interpretation of the meaning of the data is up to you.

• Free software: BSD license

Features

• Sampling of daily, hourly, and snow course data

• Searching for stations from a datasource within a shapefile

• Current data sources:

  • CDEC

  • SNOTEL

Requirements

python >= 3.7

Install

python3 -m pip install metloom

Local install for dev

The recommendation is to use virtualenv, but other local python environment isolation tools will work (pipenv, conda) .. code-block:: bash

python3 -m pip install –upgrade pip python3 -m pip install -r requirements_dev python3 -m pip install .

Testing

pytest

If contributing to the codebase, code coverage should not decrease from the contributions. Make sure to check code coverage before opening a pull request.

pytest --cov=metloom

Documentation

readthedocs coming soon

https://metloom.readthedocs.io.

Usage Notes

See usage documentation https://metloom.readthedocs.io/en/latest/usage.html

NOTES: PointData methods that get point data return a GeoDataFrame indexed on both datetime and station code. To reset the index simply run df.reset_index(inplace=True)

Extending classes for your own variables

Not all of the available variables for each datasource are implemented within this package. It is easy to extend the classes to add more variables

from datetime import datetime
from metloom.variables import CDECStationVariables:
from metloom.pointdata import CDECPointData


class MyVariables(CDEcStationVariables):
    DEWPT = SensorDescription("36", "Dew Point", "TEMPERATURE, DEW POINT")


class MyCDECPointData(CDECPointData):
    ALLOWED_VARIABLES = MyVariables


MyCDECPointData("TNY", "Tenaya Lake").get_daily_data(
    datetime(2020, 1, 3), datetime(2020, 1, 7), [MyVariables.DEWPT]
)

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

0.1.0 (2021-09-17)

• First release on PyPI.