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merged

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This commit is contained in:
Khalim Conn-Kowlessar 2024-07-28 16:01:49 +01:00
parent e85936ae97
commit d07e54ce88
1 changed files with 54 additions and 2 deletions
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56
etl/customers/goldman/property_ownership.py
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@ -754,6 +754,39 @@ def app():
else:
raise NotImplementedError("What happened here?")
land_registry_matches = pd.DataFrame(land_registry_matches)
# land_registry_matches.to_excel("land_registry_matches.xlsx")
# Check the matches against the addresses
# lr_to_addresses = matched_addresses[
# ["UPRN", "epc_address", "epc_postcode", "Property Address", "Postcode"]
# ].merge(
# land_registry_matches,
# how="inner",
# left_on="UPRN",
# right_on="uprn"
# ).drop(columns=["uprn"]).merge(
# land_registry[["transaction_id", "paon", "saon", "street", "postcode"]],
# how="left", on="transaction_id"
# )
# Merge onto matched addresses
matched_addresses = matched_addresses.merge(
land_registry_matches,
how="left",
left_on="UPRN",
right_on="uprn"
).drop(columns=["uprn"])
# Flat anything that sold in the last year
# TODO: Decide on what this logic should be!
matched_addresses["sold_recently"] = (
matched_addresses["date_of_transfer"] >= pd.Timestamp.now() - pd.DateOffset(years=1)
)
# Drop anything that sold recently
matched_addresses = matched_addresses[~matched_addresses["sold_recently"]]
# shared_freehold_match = pd.DataFrame(shared_freehold_match)
# Strore these files
# freehold_matching_lookup.to_excel("freehold_matching_lookup.xlsx")
@ -785,11 +818,30 @@ def app():
matched_addresses["Company Registration No. (1)"].isin(investment_50m["Company Registration No. (1)"])
]
# Merge on the owner
al_rayan = investment_50m_properties[
investment_50m_properties["Proprietor Name (1)"].str.contains("AL RAYAN BANK PLC")]
portfolio_epc_data_50m = properties[properties["UPRN"].isin(investment_50m_properties["UPRN"])]
portfolio_epc_data_20m = properties[properties["UPRN"].isin(investment_20m_properties["UPRN"])]
investment_20m_properties.to_excel("investment_20m_properties 28th May.xlsx", index=False)
investment_50m_properties.to_excel("investment_50m_properties 28th May.xlsx", index=False)
# investment_20m_properties.to_excel("investment_20m_properties 28th July.xlsx", index=False)
# investment_50m_properties.to_excel("investment_50m_properties 28th July.xlsx", index=False)
z = pd.read_excel("investment_50m_properties 28th May.xlsx")
new = investment_50m_properties[~investment_50m_properties["UPRN"].isin(z["UPRN"])]
new_al_rayan = new[
new["Proprietor Name (1)"].str.contains("AL RAYAN BANK PLC")
]
new_al_rayan = new_al_rayan.merge(
properties[["UPRN", "LODGEMENT_DATE"]],
how="left",
on="UPRN"
).merge(
company_ownership[["Title Number", "Date Proprietor Added"]],
how="left",
on="Title Number",
)
# Store the EPC data
portfolio_epc_data_50m.to_excel("portfolio_epc_data_50m 28th May.xlsx", index=False)