loone-data-prep

LOONE_DATA_PREP

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

Installation:

pip install loone_data_prep

Development Installation:

cd /path/to/loone_data_prep/repo
pip install -e .

Examples

From the command line:

# Get flow data
python -m loone_data_prep.flow_data.get_inflows /path/to/workspace/
python -m loone_data_prep.flow_data.get_outflows /path/to/workspace/
python -m loone_data_prep.flow_data.S65E_total /path/to/workspace/

# Get water quality data
python -m loone_data_prep.water_quality_data.get_inflows /path/to/workspace/
python -m loone_data_prep.water_quality_data.get_lake_wq /path/to/workspace/

# Get weather data
python -m loone_data_prep.weather_data.get_all /path/to/workspace/

# Get water level
python -m loone_data_prep.water_level_data.get_all /path/to/workspace/

# Interpolate data
python -m loone_data_prep.utils interp_all /path/to/workspace/

# Prepare data for LOONE
python -m loone_data_prep.LOONE_DATA_PREP /path/to/workspace/ /path/to/output/directory/

From Python:

from loone_data_prep.utils import get_dbkeys
from loone_data_prep.water_level_data import hydro
from loone_data_prep import LOONE_DATA_PREP

input_dir = '/path/to/workspace/'
output_dir = '/path/to/output/directory/'

# Get dbkeys for water level data
dbkeys = get_dbkeys(
    station_ids=["L001", "L005", "L006", "LZ40"],
    category="SW",
    param="STG",
    stat="MEAN",
    recorder="CR10",
    freq="DA",
)

# Get water level data
hydro.get(
    workspace=input_dir,
    name="lo_stage",
    dbkeys=dbkeys,
    date_min="1950-01-01",
    date_max="2023-03-31"
)

# Prepare data for LOONE
LOONE_DATA_PREP(input_dir, output_dir)

Release files for loone-data-prep 1.3.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for loone-data-prep 1.3.3
File	Size	Uploaded
loone_data_prep-1.3.3.tar.gz	68.1 kB	Mar 31, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for loone-data-prep 1.3.3
File	Interpreter	ABI	Platform	Reset
loone_data_prep-1.3.3-py3-none-any.whl 85.5 kB Mar 31, 2026	Python 3	none	any	Details

Total release size: 153.6 kB

Release files / loone_data_prep-1.3.3.tar.gz

Download URL	loone_data_prep-1.3.3.tar.gz
Size	68.1 kB
Tags	Source
SHA-256 checksum How to use checksums	`d91b7d9ad8852ce7c30a9b1ff4ba32ff38e94460d7fcd2ea5b62d28ff3848b65`
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Uploaded via	`twine/6.2.0 CPython/3.9.25`

Release files / loone_data_prep-1.3.3-py3-none-any.whl

Download URL	loone_data_prep-1.3.3-py3-none-any.whl
Size	85.5 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`bafa55b5261268eda9972666184a0770189d6d74770fe0322f1ac309273f2a47`
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Upload date	Mar 31, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.9.25`