Format python
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85f5770e09
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17 changed files with 348 additions and 248 deletions
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@ -24,7 +24,9 @@ def _build_wide(
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"lsoa21",
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)
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wide = wide.join(arcgis, on="postcode", how="inner")
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print(f" {wide.shape[0]:,} rows after GPS join, {wide.estimated_size('mb'):.1f} MB")
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print(
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f" {wide.shape[0]:,} rows after GPS join, {wide.estimated_size('mb'):.1f} MB"
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)
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# Journey times (optional)
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if journey_times_path and journey_times_path.exists():
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@ -42,9 +44,7 @@ def _build_wide(
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if iod_path and iod_path.exists():
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print("Joining IoD scores...")
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iod = pl.read_parquet(iod_path)
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wide = wide.join(
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iod, left_on="lsoa21", right_on="LSOA code (2021)", how="left"
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)
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wide = wide.join(iod, left_on="lsoa21", right_on="LSOA code (2021)", how="left")
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print(f" {wide.estimated_size('mb'):.1f} MB after IoD")
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# POI proximity counts (pre-computed per postcode)
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@ -66,44 +66,68 @@ def _build_wide(
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)
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# Derived columns
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wide = wide.with_columns(
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(pl.col("latest_price") / pl.col("total_floor_area")).alias("Price per sqm"),
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).drop(
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'date_of_transfer',
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'inspection_date',
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'floor_height',
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'lsoa21',
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'LSOA code (2021)',
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'Local Authority District code (2024)',
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'Local Authority District name (2024)',
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'imd_score',
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'housing_barriers_score',
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'idaci_score',
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'idaopi_score',
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'children_young_people_score',
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'adult_skills_score',
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'geographical_barriers_score',
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'wider_barriers_score',
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).rename({
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'construction_age_band': "Approximate construction age",
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"income_score": "Income Score (rate)",
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"employment_score": "Employment Score (rate)",
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"education_score": "Education, Skills and Training Score",
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"health_score": "Health Deprivation and Disability Score",
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"crime_score": "Crime Score",
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})
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wide = (
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wide.with_columns(
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(pl.col("latest_price") / pl.col("total_floor_area")).alias(
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"Price per sqm"
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),
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)
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.drop(
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"date_of_transfer",
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"inspection_date",
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"floor_height",
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"lsoa21",
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"LSOA code (2021)",
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"Local Authority District code (2024)",
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"Local Authority District name (2024)",
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"imd_score",
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"housing_barriers_score",
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"idaci_score",
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"idaopi_score",
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"children_young_people_score",
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"adult_skills_score",
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"geographical_barriers_score",
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"wider_barriers_score",
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)
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.rename(
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{
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"construction_age_band": "Approximate construction age",
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"income_score": "Income Score (rate)",
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"employment_score": "Employment Score (rate)",
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"education_score": "Education, Skills and Training Score",
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"health_score": "Health Deprivation and Disability Score",
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"crime_score": "Crime Score",
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}
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)
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)
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return wide
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def main():
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parser = argparse.ArgumentParser(description="Build wide property dataframe with all joins")
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parser.add_argument("--epc-pp", type=Path, required=True, help="EPC-Price Paid joined parquet file")
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parser.add_argument("--arcgis", type=Path, required=True, help="ArcGIS postcode data parquet file")
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parser.add_argument("--iod", type=Path, help="Index of Deprivation parquet file (optional)")
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parser.add_argument("--poi-proximity", type=Path, help="POI proximity counts parquet file (optional)")
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parser.add_argument("--journey-times", type=Path, help="Journey times parquet file (optional)")
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parser.add_argument("--output", type=Path, required=True, help="Output parquet file path")
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parser = argparse.ArgumentParser(
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description="Build wide property dataframe with all joins"
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)
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parser.add_argument(
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"--epc-pp", type=Path, required=True, help="EPC-Price Paid joined parquet file"
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)
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parser.add_argument(
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"--arcgis", type=Path, required=True, help="ArcGIS postcode data parquet file"
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)
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parser.add_argument(
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"--iod", type=Path, help="Index of Deprivation parquet file (optional)"
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)
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parser.add_argument(
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"--poi-proximity",
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type=Path,
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help="POI proximity counts parquet file (optional)",
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)
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parser.add_argument(
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"--journey-times", type=Path, help="Journey times parquet file (optional)"
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)
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parser.add_argument(
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"--output", type=Path, required=True, help="Output parquet file path"
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)
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args = parser.parse_args()
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wide = _build_wide(
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@ -119,7 +143,7 @@ def main():
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wide.write_parquet(args.output)
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size_mb = args.output.stat().st_size / (1024 * 1024)
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print(f"Wrote {args.output} ({size_mb:.1f} MB)")
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