us-water-quality-data for Python
Versioned U.S. water-system evidence by ZIP for Python. Its bundled JSON is generated from the same open export as the JavaScript package and preserves measured zero, measured false, and unavailable evidence as different states.
import us_water_quality_data as water
record = water.lookup("10001")
print(record)
print(water.meta["total_zips"])
The package provides lookup, get_state, get_worst, get_best, states, count, zips, and search_city. Read coverage counts, source vintage, and field definitions from water.meta; they vary by version.
The copper field is copper_action_level_exceedance, not a concentration. It is True only when an accepted CU90 exceedance record exists and None when unknown. Nullable violation, CCR, enforcement, lead, radon, score, and grade fields must not be converted to reassuring zeros or false values.
lead_level_mg_l is normalized only from a source row with an explicit supported unit. Values at or above 1 mg/L are held for source review and are never divided by 1000 automatically. contaminant_count and health_contaminant_names are None when water_data_available is false.
Home Safety Score fields follow the model version recorded by the source export and remain unavailable when required domain coverage is incomplete. The data is system-level and geographically joined evidence, not tap-level sampling, a property inspection, or a guarantee of safety.
License: CC BY 4.0. Full source and methodology details: zipcheckup.com.
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