negative outliers for UITHZWD1

[veenstrajelmer]

For at least 2008 to 2012

import ddlpy

locations = ddlpy.locations()
bool_hoedanigheid = locations['Hoedanigheid.Code'].isin(['NAP'])
bool_stations = locations.index.isin(['UITHZWD1'])
bool_grootheid = locations['Grootheid.Code'].isin(['WATHTE'])
bool_groepering = locations['Groepering.Code'].isin(['NVT'])
selected = locations.loc[bool_grootheid & bool_hoedanigheid & bool_groepering & bool_stations]

start_date = "2007-10-01"
end_date = "2012-01-01"

measurements = ddlpy.measurements(selected.iloc[0], start_date, end_date)
measurements.plot(y='Meetwaarde.Waarde_Numeriek')

Gives:

Also for WIERMWD1:

In #18 there was a csv created with outlier timestamps, this can also be created for these stations if necessary

[KDoekes-RWS]

This is fixed, the incorrect negative values have been replaced in DONAR by the standard no-info value (999999999).
These are unvalidated data.

[veenstrajelmer]

Thanks, @KDoekes-RWS. Just checking, was the kwaliteitscode also set to 99? These were not 99 before, otherwise these outliers would already be replaced with nans by the toolbox we use.

[KDoekes-RWS]

Yes, of course, the quality code was set on 99.

[veenstrajelmer]

Thanks for confirming this. @TvLoon-RWS in that case I expect that after a next synchronization from DDL with DONAR, this issue is resolved. However, it might be good to wait with a synchronization until #18 and #25 are also resolved.