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This commit is contained in:
Khalim Conn-Kowlessar 2024-11-17 16:00:59 +00:00
parent d00c291c17
commit 05cf751478
1 changed files with 23 additions and 9 deletions
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32
etl/customers/stonewater/Wave 3 Preparation.py
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@ -1777,8 +1777,9 @@ def propsed_wave_3_sample():
"2 - same archetype", region_assets["Confidence Tier"]
)
region_assets["Current EPC Band"] = region_assets["Current EPC Band"].fillna(
region_assets["Current EPC Band_method2"].astype(str),
region_assets["Current EPC Band"] = np.where(
pd.isnull(region_assets["Current EPC Band"]) & pd.notnull(region_assets["Current EPC Band_method2"]),
region_assets["Current EPC Band_method2"], region_assets["Current EPC Band"]
)
region_assets = region_assets.drop(columns=["Current EPC Band_method2"])
@ -1822,12 +1823,26 @@ def propsed_wave_3_sample():
final_missed_matches.append(
{
"Address ID": a_id,
"Confidence Tier": "5 - no similar property, needs survey to confirm"
"Confidence Tier": "5 - no similar property, needs survey to confirm",
"Current EPC Band": "Unknown"
}
)
continue
# We take an average
expected_sap = surveyed_similar["Current SAP Rating"].mean()
expected_epc = sap_to_epc(expected_sap)
if expected_epc in ["C", "B", "A"]:
tier = "6 - EPC C or above"
else:
tier = "3 - similar property"
raise NotImplementedError("Implement me")
final_missed_matches.append(
{
"Address ID": a_id,
"Confidence Tier": tier,
"Current EPC Band": "Unknown"
}
)
final_missed_matches = pd.DataFrame(final_missed_matches)
@ -1841,14 +1856,13 @@ def propsed_wave_3_sample():
region_assets["Confidence Tier"] = region_assets["Confidence Tier"].fillna(
region_assets["Confidence Tier_method3"]
)
region_assets["Current EPC Band"] = np.where(
pd.isnull(region_assets["Current EPC Band"]),
region_assets["Current EPC Band_method3"], region_assets["Current EPC Band"]
)
region_assets = region_assets.drop(columns=["Confidence Tier_method3"])
region_assets["Current EPC Band"] = np.where(
region_assets["Confidence Tier"] == "5 - no similar property, needs survey to confirm",
"Unknown", region_assets["Current EPC Band"]
)
if pd.isnull(region_assets["Current EPC Band"]).sum():
raise Exception("Something went wrong")