https://github.com/aquaveo/loone_data_prep
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (4.8%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: Aquaveo
- License: bsd-3-clause
- Language: Python
- Default Branch: main
- Size: 191 KB
Statistics
- Stars: 0
- Watchers: 2
- Forks: 2
- Open Issues: 1
- Releases: 16
Metadata Files
README.md
LOONEDATAPREP
LOONEDATAPREP
Prepare data for the LOONE water quality model.
Line to the LOONE model: https://pypi.org/project/loone Link to LOONE model repository: https://github.com/Aquaveo/LOONE
Prerequisites:
- R (https://www.r-project.org/)
- R packages: dbhydroR, rio, dplyr
Installation:
bash
pip install loone_data_prep
Development Installation:
bash
cd /path/to/loone_data_prep/repo
pip install -e .
Examples
From the command line:
```bash
Get flow data
python -m loonedataprep.flowdata.getinflows /path/to/workspace/ python -m loonedataprep.flowdata.getoutflows /path/to/workspace/ python -m loonedataprep.flowdata.S65Etotal /path/to/workspace/
Get water quality data
python -m loonedataprep.waterqualitydata.getinflows /path/to/workspace/ python -m loonedataprep.waterqualitydata.getlake_wq /path/to/workspace/
Get weather data
python -m loonedataprep.weatherdata.getall /path/to/workspace/
Get water level
python -m loonedataprep.waterleveldata.get_all /path/to/workspace/
Interpolate data
python -m loonedataprep.utils interp_all /path/to/workspace/
Prepare data for LOONE
python -m loonedataprep.LOONEDATAPREP /path/to/workspace/ /path/to/output/directory/ ```
From Python:
```python from loonedataprep.utils import getdbkeys from loonedataprep.waterleveldata import hydro from loonedataprep import LOONEDATA_PREP
inputdir = '/path/to/workspace/' outputdir = '/path/to/output/directory/'
Get dbkeys for water level data
dbkeys = getdbkeys( stationids=["L001", "L005", "L006", "LZ40"], category="SW", param="STG", stat="MEAN", recorder="CR10", freq="DA", detail_level="dbkey" )
Get water level data
hydro.get( workspace=inputdir, name="lostage", dbkeys=dbkeys, datemin="1950-01-01", datemax="2023-03-31" )
Prepare data for LOONE
LOONEDATAPREP(inputdir, outputdir) ```
Owner
- Name: Aquaveo
- Login: Aquaveo
- Kind: organization
- Email: it@aquaveo.com
- Location: Provo
- Website: aquaveo.com
- Repositories: 38
- Profile: https://github.com/Aquaveo
GitHub Events
Total
- Release event: 7
- Delete event: 4
- Member event: 1
- Push event: 26
- Pull request review comment event: 3
- Pull request review event: 9
- Pull request event: 20
- Fork event: 2
- Create event: 18
Last Year
- Release event: 7
- Delete event: 4
- Member event: 1
- Push event: 26
- Pull request review comment event: 3
- Pull request review event: 9
- Pull request event: 20
- Fork event: 2
- Create event: 18
Issues and Pull Requests
Last synced: 10 months ago
All Time
- Total issues: 0
- Total pull requests: 9
- Average time to close issues: N/A
- Average time to close pull requests: 15 days
- Total issue authors: 0
- Total pull request authors: 3
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 6
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 9
- Average time to close issues: N/A
- Average time to close pull requests: 15 days
- Issue authors: 0
- Pull request authors: 3
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 6
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
- James-Dolinar (14)
- msouff (7)
- rhuber6 (2)