Unofficial Python package to ease access to groundwater data in South Australia
Project description
python-sa-gwdata
sa_gwdata
is a Python package to ease access to groundwater data in South Australia.
It provides access to JSON data from the
WaterConnect Groundwater Data website,
and also provides some well data from SARIG.
There are simple methods to easily turn this data into pandas DataFrames.
This is an unofficial side-project done in my spare time.
Install
> pip install python-sa-gwdata
How to use
Check out the documentation, and some tutorial Jupyter Notebooks in the notebooks folder.
Start a web session with Groundwater Data:
>>> import sa_gwdata
>>> session = sa_gwdata.WaterConnectSession()
On initialisation it downloads some summary information.
>>> session.networks
{'ANGBRM': 'Angas Bremer PWA',
'AW_NP': 'Alinytjara Wilurara Non-Prescribed Area',
'BAROOTA': 'Baroota PWRA',
'BAROSSA': 'Barossa PWRA',
'BAROSS_IRR': 'Barossa irrigation wells salinity monitoring',
'BERI_REN': 'Berri and Renmark Irrigation Areas',
'BOT_GDNS': 'Botanic Gardens wetlands',
'CENT_ADEL': 'Central Adelaide PWA',
'CHOWILLA': 'Chowilla Floodplain',
...
}
With this information we can make some direct REST calls:
>>> r = session.get("GetObswellNetworkData", params={"Network": "CENT_ADEL"})
>>> r.df.head(5)
aq_mon chem class dhno drill_date lat latest_open_date latest_open_depth latest_sal_date latest_swl_date ... pwa replaceunitnum sal salstatus stat_desc swl swlstatus tds water yield
0 Tomw(T2) Y WW 27382 1968-02-07 -34.764662 1992-02-20 225.00 2013-09-02 2018-09-18 ... Central Adelaide NaN Y C OPR 3.47 C 3620.0 Y 2.00
1 Qhcks N WW 27437 1963-01-01 -34.800905 1963-01-01 6.40 1984-02-01 1986-03-05 ... Central Adelaide NaN Y H NaN 5.86 H 1121.0 Y NaN
2 Tomw(T1) Y WW 27443 1972-04-20 -34.811124 2014-04-01 0.00 1991-10-09 2003-07-04 ... Central Adelaide NaN Y H BKF NaN H 2030.0 Y 5.00
3 Tomw(T1) Y WW 27504 1978-02-28 -34.779893 1978-02-28 144.50 2016-04-06 2011-09-18 ... Central Adelaide NaN Y H OPR 11.21 H 2738.0 Y 0.00
4 Tomw(T1) Y WW 27569 1975-01-01 -34.891250 1975-07-09 131.10 1986-11-13 1988-09-21 ... Central Adelaide NaN Y H BKF 9.90 H 42070.0 Y 12.50
Get water levels:
>>> wl = session.get("GetWaterLevelDetails", params={"DHNO": 188444}).df
>>> wl.head(5)
anomalous_ind data_source_code measured_during obs_date pumping_ind rswl standing_water_level
0 N DEWNR D 2002-01-28 N -8.12 15.08
1 N DEWNR M 2002-03-06 N -12.50 19.46
2 N DEWNR M 2002-10-02 N -3.43 10.39
3 N DEWNR M 2003-03-04 N -11.69 18.65
4 N DEWNR M 2003-09-27 N -1.93 8.89
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