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 accross 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 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
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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file metloom-0.1.1.tar.gz
.
File metadata
- Download URL: metloom-0.1.1.tar.gz
- Upload date:
- Size: 25.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | de73d0825317f99b7ff6a623c1adb6a0939fc665e971b980add27b7a8cf7988d |
|
MD5 | c770a86f83314d55f33f4ab9b979d1ff |
|
BLAKE2b-256 | 82f09beb20a6d53f00934c6b547dd6e6aa2e7b8d32827837f7296c7fcc351a59 |
File details
Details for the file metloom-0.1.1-py2.py3-none-any.whl
.
File metadata
- Download URL: metloom-0.1.1-py2.py3-none-any.whl
- Upload date:
- Size: 16.4 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1c09bfaea2d471d80a9a470da6c79e970f9e9843b45c778c184c594d783b82be |
|
MD5 | 136c262ea995e4fba5f72a1eacc3bfab |
|
BLAKE2b-256 | af720338c57c9ea176963309cf1770c2dab0be896b8d369ca918034bb53ff245 |