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Update pages/market_rent_estimation.py
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pages/market_rent_estimation.py
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@@ -103,6 +103,7 @@ def main():
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# filtered_data2 = df_dataF
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filtered_data = df_data[["google_ola", "market_costar", "submarket_costar", "execution_date", "rented_sf", "building_sf", "year_built", "office_rate", "min_clear_height", "max_clear_height", "docks", "drive_ins", "rent_combined"]]#pd.concat([filtered_data2])
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filtered_data.insert(loc=1, column='Similarity score', value=comps_scores)
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# Formatting the DataFrame
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# filtered_data2 = df_dataF
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filtered_data = df_data[["google_ola", "market_costar", "submarket_costar", "execution_date", "rented_sf", "building_sf", "year_built", "office_rate", "min_clear_height", "max_clear_height", "docks", "drive_ins", "rent_combined"]]#pd.concat([filtered_data2])
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comps_scores = comps_scores[:len(filtered_data)]
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filtered_data.insert(loc=1, column='Similarity score', value=comps_scores)
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# Formatting the DataFrame
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