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use pandas

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This commit is contained in:
Michael Duong 2024-05-28 19:07:58 +01:00
parent 57477907cb
commit 14452dde99
1 changed files with 10 additions and 1 deletions
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11
etl/epc/generate_scenarios_data.py
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@ -41,6 +41,15 @@ cleaning_data = read_dataframe_from_s3_parquet(
materials = get_materials(session)
cleaned = get_cleaned()
# TODO: THIS IS A TEMPORARY FIX
new_walls_description_mapping = pd.DataFrame(cleaned["walls-description"])
new_walls_description_mapping.loc[
~new_walls_description_mapping["thermal_transmittance_unit"].isnull(),
"thermal_transmittance_unit",
] = "w/m-¦k"
cleaned["walls-description"] = new_walls_description_mapping.to_dict(orient="records")
uprn_filenames = read_dataframe_from_s3_parquet(
bucket_name=get_settings().DATA_BUCKET, file_key="spatial/filename_meta.parquet"
)
@ -167,7 +176,7 @@ for scenario_property in scenario_properties:
p.get_components(cleaned, photo_supply_lookup, floor_area_decile_thresholds)
recommender = Recommendations(property_instance=p, materials=materials)
property_recommendations = recommender.recommend("0")
property_recommendations = recommender.recommend()
wall_recommendations = recommender.wall_recomender.recommendations
loft_recommendations = recommender.roof_recommender.recommendations