From 730ad0fd7144b2b5e86d98b8c3ef4e5d71ccd0cb Mon Sep 17 00:00:00 2001 From: Khalim Conn-Kowlessar Date: Tue, 27 Feb 2024 13:13:28 +0000 Subject: [PATCH] removing temp code --- etl/epc/Dataset.py | 28 ---------------------------- 1 file changed, 28 deletions(-) diff --git a/etl/epc/Dataset.py b/etl/epc/Dataset.py index cf241747..7040d66c 100644 --- a/etl/epc/Dataset.py +++ b/etl/epc/Dataset.py @@ -658,34 +658,6 @@ class TrainingDataset(BaseDataset): components_to_expand = cols_to_drop.keys() - for comp in list(components_to_expand): - if comp == "main-fuel": - cleaned_key = "main-fuel" - left_on_starting = "main_fuel_starting" - left_on_ending = "main_fuel_ending" - original_cols = ["main_fuel_starting", "main_fuel_ending"] - else: - cleaned_key = f"{comp}-description" - left_on_starting = f"{comp}_description_starting" - left_on_ending = f"{comp}_description_ending" - original_cols = [ - f"{comp}_description_starting", - f"{comp}_description_ending", - ] - df = pd.DataFrame(cleaned_lookup[cleaned_key]) - # Check for the existence - filtered_1 = df[df["original_description"] == self.df[left_on_starting].values[0]] - filtered_2 = df[df["original_description"] == self.df[left_on_ending].values[0]] - if filtered_1.empty: - print(comp) - print(self.df[left_on_starting].values[0]) - - if filtered_2.empty: - print(f"Original description {self.df[left_on_ending].values[0]} not found in lookup") - - z = pd.DataFrame(cleaned_lookup["roof-description"]) - z[z["original_description"] == "Average thermal transmittance 0.20 W/m?K"] - for component in components_to_expand: # TODO: change cleaned dataframe to have underscores instead of dashes if component == "main-fuel":