Release v1.6.0

[dbrakenhoff]

Add extensions to PastaStore class

Currently only hydropandas extension for quickly downloading/updating data from Dutch online data sources.

import pastastore as pst
from pastastore.extensions import activate_hydropandas_extension


activate_hydropandas_extension()

pstore = pst.PastaStore()
pstore.hpd.download_knmi_precipitation(stn=[260], tmin="2024")  # download precipitation time series for 2024
pstore.hpd.download_bro_gmw(extent=(117850, 118180, 439550, 439900), tmin="2024")  # download groundwater levels

Update methods are available to update time series that are already contained in store. If no tmin is provided, the time series are updated from the last stored measurement until tmax.

pstore.hpd.update_knmi_meteo(tmax="2024-06-30")  # update knmi time series to june 30, 2024
pstore.hpd.update_bro_gmw(tmin="2024-06-30")  # update groundwater levels

Make it even easier to build Pastas models!

As suggested by @FransSchaars.

Build stressmodels from stored stress time series with pstore.get_stressmodels()

sm = pstore.get_stressmodel("well1", rfunc=ps.Hantush, up=False)

Methods support nearest option when x and y-coordinates are stored for all stresses and oseries! Add them directly to pastas models with pstore.add_stressmodel()

ml = ps.Model(oseries)  # or use `pstore.create_model(oseries_name)`
pstore.add_stressmodel(ml, stresses=["nearest prec", "nearest evap"], stressmodel=ps.RechargeModel)

[martinvonk]

Do we know why the tests are failing? Didn't do a thorough review, but I think it is all good :)