Location Oriented Observed Meteorology (LOOM)
Project description
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
Requirements
python >= 3.7
Install
python3 -m pip install metloomLocal 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
pytestIf 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=metloomDocumentation
readthedocs coming soon
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.
Release history Release notifications | RSS feed
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