1406 lines
473 KiB
Plaintext
1406 lines
473 KiB
Plaintext
{
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"cells": [
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{
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||
"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"import geopandas as gpd\n",
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"import plotly.express as px\n",
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"import openpyxl\n",
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"from hub.imports.geometry_factory import GeometryFactory\n",
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"from hub.helpers.dictionaries import Dictionaries\n",
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"from hub.imports.construction_factory import ConstructionFactory\n",
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"from hub.imports.usage_factory import UsageFactory\n",
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"from hub.exports.energy_building_exports_factory import EnergyBuildingsExportsFactory \n",
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"from hub.imports.weather_factory import WeatherFactory\n",
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"from tqdm import tqdm\n",
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"import shutil"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# setup:\n",
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"## define functions:\n",
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"1. filter_building_data(): given there are several buildings in OMHM stock, we need a function that filters them based on their location (here FSA, aka Code Postal 3 digits), and whether or not they have gas consumption.\n",
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"2. get_consumption_data(): a function that extracts the reported energy consumption of the selected building from the xlsx file\n",
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"3. find_building_LoD1(): a function to find the selected building in the LoD1 dataset\n",
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"4. process_buildings(): main function where it takes the selected buildings, and performs the hub simulation on them, and takes the reported consumption as well as the simulated demand, and outputs it."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"def filter_building_data(file_path, postal_codes, no_gas=True):\n",
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" # Ensure postal_codes is a list\n",
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" if isinstance(postal_codes, str):\n",
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" postal_codes = [postal_codes]\n",
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"\n",
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" # Read the 1st sheet of the excel file into a DataFrame, starting from row 6 as header\n",
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" df = pd.read_excel(file_path, sheet_name=0, header=5)\n",
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"\n",
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" # Optionally filter for the rows that have 'Consommation de gaz naturel (GJ)' as zero\n",
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" if no_gas:\n",
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" df = df[df['Consommation de gaz naturel (GJ)'] == 0]\n",
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"\n",
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" # Keep only the specified columns\n",
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" columns_to_keep = [\n",
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" 'Identifiant de propriété de Portfolio Manager',\n",
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" 'Nom de la propriété',\n",
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" 'Adresse 1',\n",
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" 'Code postal',\n",
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" 'Superficie brute de la propriété - autosignalée (m²)',\n",
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" 'Année de construction',\n",
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" 'Immeuble à logements multiples - Nombre total d\\'unités résidentielles',\n",
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" 'Consommation d\\'électricité - Achat du réseau (kWh)',\n",
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" 'Demande annuelle maximale (kW)',\n",
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" 'Demande annuelle maximale (MM/AAAA)'\n",
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" ]\n",
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" df = df[columns_to_keep]\n",
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"\n",
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" # Filter for only the rows where the 1st three characters of the postal code match the provided postal codes\n",
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" df_filtered = df[df['Code postal'].str[:3].isin(postal_codes)]\n",
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"\n",
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" # Additional filtering step\n",
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" df_filtered = df_filtered.loc[df_filtered['Adresse 1'].str.split(' ').str[0][df_filtered['Adresse 1'].str.split(' ').str[0].str.isnumeric()].index]\n",
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"\n",
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" # Set df_filtered['Adresse 1'].str.split(' ').str[0] as the civic number\n",
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" df_filtered['Civic Number'] = df_filtered['Adresse 1'].str.split(' ').str[0]\n",
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"\n",
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" # Remove the last section of Adresse 1 column when split by ' ', and also the 1st section\n",
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" df_filtered['Street Name'] = df_filtered['Adresse 1'].str.split(' ').str[1:].str.join(' ')\n",
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"\n",
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" # Split Street Name by 'Montréal ' and keep the 1st section\n",
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" df_filtered['Street Name'] = df_filtered['Street Name'].str.split('Montréal ').str[0]\n",
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"\n",
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" # Set street number as numeric and street name as string\n",
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" df_filtered['Civic Number'] = pd.to_numeric(df_filtered['Civic Number'], errors='coerce')\n",
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" df_filtered['Street Name'] = df_filtered['Street Name'].astype(str)\n",
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" filtered_dict = df_filtered.set_index('Identifiant de propriété de Portfolio Manager')[['Civic Number', 'Street Name']].to_dict('index')\n",
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" return filtered_dict\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"def get_consumption_data(id, file_path):\n",
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" # Filter the dataframe to get the 'Identifiant de propriété de Portfolio Manager' value\n",
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" id_value = id\n",
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" # Load the workbook and get the sheet by the 'Identifiant de propriété de Portfolio Manager' value\n",
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" sheet = openpyxl.load_workbook(file_path, data_only=True)[id_value]\n",
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" \n",
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" # Read the sheet into a dataframe and set the first row as the header\n",
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" df_sheet = pd.DataFrame(sheet.values)\n",
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" df_sheet.columns = df_sheet.iloc[8]\n",
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" df_sheet = df_sheet[10:22].reset_index(drop=True)\n",
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" \n",
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" # Keep only the specified columns\n",
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" return df_sheet[['Périodes', 'Électricité (GJ)', 'Gaz naturel (GJ)', 'Total (GJ)', 'Superficie (m²)', '$ / GJ', 'GJ / m²', '$ / m²']]\n",
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"\n",
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"def find_building_LoD1(df, NOM_RUE, CIVIQUE):\n",
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" try:\n",
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" # selection criteria print\n",
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" # print('Looking for {} {} in the dataset'.format(CIVIQUE, NOM_RUE))\n",
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" df_temp = df[df['NOM_RUE'].str.contains(NOM_RUE, case=False)]\n",
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" # print('df_temp has {} rows'.format(df_temp.shape[0]))\n",
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" for index, row in df_temp.iterrows():\n",
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" for i in range(row['CIVIQUE_DE'], row['CIVIQUE_FI'] + 1):\n",
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" if i == int(CIVIQUE):\n",
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" output_df = df_temp[df_temp['CIVIQUE_DE'] == i]\n",
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" return output_df\n",
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" return None # Return None if no match is found\n",
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" except Exception as e:\n",
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" print(f\"An error occurred: {e}\")\n",
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" return None\n",
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"\n",
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"def process_buildings(df_plateau_filtered_dict, LoD1, indices, output_geojson_path, output_csv_path, file_path, plot=False):\n",
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" final_df = pd.DataFrame()\n",
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" for index in tqdm(indices):\n",
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" try:\n",
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" # Extract street number and name\n",
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" street_number_temp = df_plateau_filtered_dict[index]['Civic Number']\n",
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" street_name_temp = df_plateau_filtered_dict[index]['Street Name']\n",
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"\n",
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" # Find building LoD1\n",
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" temp_df = find_building_LoD1(LoD1, street_name_temp, street_number_temp)\n",
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" # if temp_df is None, raise an error\n",
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" if temp_df is None:\n",
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" raise ValueError(f\"Could not find building with index {index} in LoD1\")\n",
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" # Remove duplicate rows\n",
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" temp_df = temp_df.drop_duplicates(subset=['geometry'])\n",
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" temp_df.rename(columns={'ID_UEV': 'id'}, inplace=True)\n",
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" print(f\"Processing building with id {temp_df['id'].values[0]}\")\n",
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" output_geojson_path_temp = f\"{output_geojson_path}\\\\{temp_df['id'].values[0]}.geojson\"\n",
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" temp_df.to_file(output_geojson_path_temp, driver='GeoJSON')\n",
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"\n",
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" # Process the geojson file\n",
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" city = GeometryFactory('geojson', output_geojson_path_temp, height_field='Hieght_LiD', year_of_construction_field='ANNEE_CONS', function_field='CODE_UTILI', function_to_hub=Dictionaries().montreal_function_to_hub_function).city\n",
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" ConstructionFactory('nrcan', city).enrich()\n",
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" UsageFactory('nrcan', city).enrich()\n",
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" WeatherFactory('epw', city).enrich()\n",
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"\n",
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" idf_file = EnergyBuildingsExportsFactory('idf', city, './').export()\n",
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" idf_current_path = r'.\\Montreal.idf'\n",
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" idf_dest_path = f'out_files\\\\{temp_df[\"id\"].values[0]}.idf'\n",
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" shutil.copy(idf_current_path, idf_dest_path)\n",
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" idf_file.run()\n",
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" output_dest_path = f'out_files\\\\{temp_df[\"id\"].values[0]}.csv'\n",
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" shutil.copy(output_csv_path, output_dest_path)\n",
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"\n",
|
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" # Read and process the results\n",
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" results = pd.read_csv(output_csv_path)\n",
|
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" results.set_index('Date/Time', inplace=True)\n",
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" results.index = results.index.str.strip().str.replace('24:00:00', '00:00:00')\n",
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" results.index = pd.to_datetime(results.index, format='%m/%d %H:%M:%S')\n",
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" results = results.resample('ME').mean()\n",
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" results.columns = results.columns.str.split(':').str[-1]\n",
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" results.rename(columns={results.columns[-1]: 'Lights' + results.columns[-1], results.columns[-2]: 'equipment' + results.columns[-2]}, inplace=True)\n",
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" results = results / 10**6\n",
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" results.columns = results.columns.str.replace('[W]', '[GW]').str.replace('[J]', '[GJ]').str.replace('(Hourly)', '')\n",
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"\n",
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" # Plot all columns via Plotly in a single plot\n",
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" consumption_data = get_consumption_data(index, file_path)\n",
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" consumption_data.index = results.index\n",
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" if plot:\n",
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" results_melted = results.iloc[:, :5].reset_index().melt(id_vars='Date/Time', var_name='Variable', value_name='Value')\n",
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" fig = px.line(results_melted, x='Date/Time', y='Value', color='Variable')\n",
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" fig.add_scatter(x=results.index, y=results.iloc[:, :5].sum(axis=1), mode='lines', line=dict(dash='dash', width=5), name='Sum of Lights, Equipment, H&C, DHW')\n",
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" fig.add_scatter(x=consumption_data.index, y=consumption_data['Électricité (GJ)'], mode='lines', line=dict(dash='dash', width=5), name='Reported Électricité (GJ)')\n",
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" fig.show()\n",
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"\n",
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" final_df_temp = pd.concat([results.iloc[:, :5].sum(axis=1), consumption_data['Électricité (GJ)']], axis=1).rename(columns={0: 'Simulation', 'Électricité (GJ)': 'Reported'})\n",
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" final_df_temp.columns = [f'{col} {temp_df[\"id\"].values[0]}' for col in final_df_temp.columns]\n",
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" final_df = pd.concat([final_df, final_df_temp], axis=1)\n",
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" except Exception as e:\n",
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" print(f\"An error occurred for index {index}: {e}\")\n",
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" \n",
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" return final_df"
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]
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},
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{
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"cell_type": "markdown",
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||
"metadata": {},
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||
"source": [
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"# read the data"
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]
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},
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||
{
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||
"cell_type": "code",
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||
"execution_count": 5,
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"metadata": {},
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||
"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
" }\n",
|
||
"\n",
|
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" .dataframe tbody tr th {\n",
|
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" vertical-align: top;\n",
|
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" }\n",
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"\n",
|
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" .dataframe thead th {\n",
|
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" text-align: right;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>OBJECTID</th>\n",
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" <th>ID_UEV</th>\n",
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" <th>CIVIQUE_DE</th>\n",
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" <th>CIVIQUE_FI</th>\n",
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||
" <th>NOM_RUE</th>\n",
|
||
" <th>MUNICIPALI</th>\n",
|
||
" <th>CODE_UTILI</th>\n",
|
||
" <th>LIBELLE_UT</th>\n",
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||
" <th>CATEGORIE_</th>\n",
|
||
" <th>Hieght_LiD</th>\n",
|
||
" <th>...</th>\n",
|
||
" <th>BuildingCategory</th>\n",
|
||
" <th>BuildingVolume</th>\n",
|
||
" <th>AspectRatio</th>\n",
|
||
" <th>SurfacetoVolumeRatio</th>\n",
|
||
" <th>FloorNu_RawTax</th>\n",
|
||
" <th>FloorNu_RawTax.1</th>\n",
|
||
" <th>Floor_frmHieght</th>\n",
|
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" <th>TotalFloorArea</th>\n",
|
||
" <th>geometry</th>\n",
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||
" <th>ANNEE_CONS</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>8</td>\n",
|
||
" <td>05146275</td>\n",
|
||
" <td>2165</td>\n",
|
||
" <td>2165</td>\n",
|
||
" <td>avenue Desjardins (MTL)</td>\n",
|
||
" <td>50</td>\n",
|
||
" <td>1000</td>\n",
|
||
" <td>Logement</td>\n",
|
||
" <td>Condominium</td>\n",
|
||
" <td>14</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>fully-attached</td>\n",
|
||
" <td>2702</td>\n",
|
||
" <td>1.709</td>\n",
|
||
" <td>0.071</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>3</td>\n",
|
||
" <td>4</td>\n",
|
||
" <td>772</td>\n",
|
||
" <td>POLYGON ((-73.54323 45.55203, -73.54314 45.552...</td>\n",
|
||
" <td>2006</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>37</td>\n",
|
||
" <td>02094271</td>\n",
|
||
" <td>8645</td>\n",
|
||
" <td>8647</td>\n",
|
||
" <td>rue Lafrenaie (SLN)</td>\n",
|
||
" <td>50</td>\n",
|
||
" <td>4299</td>\n",
|
||
" <td>Autres transports par véhicule automobile</td>\n",
|
||
" <td>Régulier</td>\n",
|
||
" <td>11</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>detached</td>\n",
|
||
" <td>16126</td>\n",
|
||
" <td>1.720</td>\n",
|
||
" <td>0.091</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>3</td>\n",
|
||
" <td>4398</td>\n",
|
||
" <td>POLYGON ((-73.59017 45.60047, -73.59002 45.600...</td>\n",
|
||
" <td>1973</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>64</td>\n",
|
||
" <td>02000524</td>\n",
|
||
" <td>11735</td>\n",
|
||
" <td>11737</td>\n",
|
||
" <td>4e Avenue (RDP)</td>\n",
|
||
" <td>50</td>\n",
|
||
" <td>5010</td>\n",
|
||
" <td>Immeuble commercial</td>\n",
|
||
" <td>Régulier</td>\n",
|
||
" <td>7</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>semi-attached</td>\n",
|
||
" <td>5068</td>\n",
|
||
" <td>1.152</td>\n",
|
||
" <td>0.143</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>1448</td>\n",
|
||
" <td>POLYGON ((-73.60114 45.62189, -73.60089 45.622...</td>\n",
|
||
" <td>1977</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>69</td>\n",
|
||
" <td>02051203</td>\n",
|
||
" <td>6001</td>\n",
|
||
" <td>6005</td>\n",
|
||
" <td>rue La Fontaine (MTL)</td>\n",
|
||
" <td>50</td>\n",
|
||
" <td>1000</td>\n",
|
||
" <td>Logement</td>\n",
|
||
" <td>Régulier</td>\n",
|
||
" <td>11</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>semi-attached</td>\n",
|
||
" <td>2035</td>\n",
|
||
" <td>2.876</td>\n",
|
||
" <td>0.091</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>3</td>\n",
|
||
" <td>555</td>\n",
|
||
" <td>POLYGON ((-73.52567 45.56996, -73.52562 45.570...</td>\n",
|
||
" <td>1950</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>77</td>\n",
|
||
" <td>02004434</td>\n",
|
||
" <td>12385</td>\n",
|
||
" <td>12385</td>\n",
|
||
" <td>avenue Élie-Beauregard (MTL)</td>\n",
|
||
" <td>50</td>\n",
|
||
" <td>1000</td>\n",
|
||
" <td>Logement</td>\n",
|
||
" <td>Condominium</td>\n",
|
||
" <td>15</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>detached</td>\n",
|
||
" <td>6930</td>\n",
|
||
" <td>2.289</td>\n",
|
||
" <td>0.067</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>8</td>\n",
|
||
" <td>4</td>\n",
|
||
" <td>1848</td>\n",
|
||
" <td>POLYGON ((-73.60005 45.63584, -73.5999 45.6359...</td>\n",
|
||
" <td>1985</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>5 rows × 26 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" OBJECTID ID_UEV CIVIQUE_DE CIVIQUE_FI NOM_RUE \\\n",
|
||
"0 8 05146275 2165 2165 avenue Desjardins (MTL) \n",
|
||
"1 37 02094271 8645 8647 rue Lafrenaie (SLN) \n",
|
||
"2 64 02000524 11735 11737 4e Avenue (RDP) \n",
|
||
"3 69 02051203 6001 6005 rue La Fontaine (MTL) \n",
|
||
"4 77 02004434 12385 12385 avenue Élie-Beauregard (MTL) \n",
|
||
"\n",
|
||
" MUNICIPALI CODE_UTILI LIBELLE_UT \\\n",
|
||
"0 50 1000 Logement \n",
|
||
"1 50 4299 Autres transports par véhicule automobile \n",
|
||
"2 50 5010 Immeuble commercial \n",
|
||
"3 50 1000 Logement \n",
|
||
"4 50 1000 Logement \n",
|
||
"\n",
|
||
" CATEGORIE_ Hieght_LiD ... BuildingCategory BuildingVolume \\\n",
|
||
"0 Condominium 14 ... fully-attached 2702 \n",
|
||
"1 Régulier 11 ... detached 16126 \n",
|
||
"2 Régulier 7 ... semi-attached 5068 \n",
|
||
"3 Régulier 11 ... semi-attached 2035 \n",
|
||
"4 Condominium 15 ... detached 6930 \n",
|
||
"\n",
|
||
" AspectRatio SurfacetoVolumeRatio FloorNu_RawTax FloorNu_RawTax.1 \\\n",
|
||
"0 1.709 0.071 0 3 \n",
|
||
"1 1.720 0.091 0 0 \n",
|
||
"2 1.152 0.143 0 0 \n",
|
||
"3 2.876 0.091 0 0 \n",
|
||
"4 2.289 0.067 0 8 \n",
|
||
"\n",
|
||
" Floor_frmHieght TotalFloorArea \\\n",
|
||
"0 4 772 \n",
|
||
"1 3 4398 \n",
|
||
"2 2 1448 \n",
|
||
"3 3 555 \n",
|
||
"4 4 1848 \n",
|
||
"\n",
|
||
" geometry ANNEE_CONS \n",
|
||
"0 POLYGON ((-73.54323 45.55203, -73.54314 45.552... 2006 \n",
|
||
"1 POLYGON ((-73.59017 45.60047, -73.59002 45.600... 1973 \n",
|
||
"2 POLYGON ((-73.60114 45.62189, -73.60089 45.622... 1977 \n",
|
||
"3 POLYGON ((-73.52567 45.56996, -73.52562 45.570... 1950 \n",
|
||
"4 POLYGON ((-73.60005 45.63584, -73.5999 45.6359... 1985 \n",
|
||
"\n",
|
||
"[5 rows x 26 columns]"
|
||
]
|
||
},
|
||
"execution_count": 5,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"file_path = r\".\\input_files\\OMHM energy data\\document preliminaire.xlsx\"\n",
|
||
"postal_codes = ['H2J', 'H2T', 'H2L']\n",
|
||
"df_filtered_dict = filter_building_data(file_path, postal_codes, no_gas=True)\n",
|
||
"\n",
|
||
"# Load the LoD1 data\n",
|
||
"LoD1 = gpd.read_parquet(r'data\\Montreal_buildings\\LoD1\\LoD1.parquet')\n",
|
||
"LoD1.head()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"# perform simulation"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 6,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
" 0%| | 0/20 [00:00<?, ?it/s]"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Processing building with id 01128423\n",
|
||
"\n",
|
||
"C:/EnergyPlusV24-1-0\\energyplus.exe --weather C:\\Users\\m_hamsai\\miniconda3\\envs\\CERC_HUB\\Lib\\site-packages\\hub\\data\\weather\\epw\\CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw --output-directory C:\\Users\\m_hamsai\\OneDrive - Concordia University - Canada\\Repositories\\city_retrofit\\city_retrofit --idd C:\\Users\\m_hamsai\\miniconda3\\envs\\CERC_HUB\\Lib\\site-packages\\hub\\exports\\building_energy\\idf_files\\Energy+.idd --expandobjects --readvars --output-prefix Montreal_ C:\\Users\\m_hamsai\\OneDrive - Concordia University - Canada\\Repositories\\city_retrofit\\city_retrofit\\Montreal_2b7fc8.idf\n",
|
||
"\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
" 10%|█ | 2/20 [00:15<01:52, 6.24s/it]"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"An error occurred for index 2220210A: 'NoneType' object has no attribute 'drop_duplicates'\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
" 15%|█▌ | 3/20 [00:15<00:59, 3.51s/it]"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"An error occurred for index 2220301A: 'NoneType' object has no attribute 'drop_duplicates'\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
" 20%|██ | 4/20 [00:15<00:36, 2.25s/it]"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"An error occurred for index 4010101A: 'NoneType' object has no attribute 'drop_duplicates'\n",
|
||
"Processing building with id 01027192\n",
|
||
"\n",
|
||
"C:/EnergyPlusV24-1-0\\energyplus.exe --weather C:\\Users\\m_hamsai\\miniconda3\\envs\\CERC_HUB\\Lib\\site-packages\\hub\\data\\weather\\epw\\CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw --output-directory C:\\Users\\m_hamsai\\OneDrive - Concordia University - Canada\\Repositories\\city_retrofit\\city_retrofit --idd C:\\Users\\m_hamsai\\miniconda3\\envs\\CERC_HUB\\Lib\\site-packages\\hub\\exports\\building_energy\\idf_files\\Energy+.idd --expandobjects --readvars --output-prefix Montreal_ C:\\Users\\m_hamsai\\OneDrive - Concordia University - Canada\\Repositories\\city_retrofit\\city_retrofit\\Montreal_440be5.idf\n",
|
||
"\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
" 25%|██▌ | 5/20 [00:31<01:47, 7.14s/it]"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Processing building with id 01001802\n",
|
||
"\n",
|
||
"C:/EnergyPlusV24-1-0\\energyplus.exe --weather C:\\Users\\m_hamsai\\miniconda3\\envs\\CERC_HUB\\Lib\\site-packages\\hub\\data\\weather\\epw\\CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw --output-directory C:\\Users\\m_hamsai\\OneDrive - Concordia University - Canada\\Repositories\\city_retrofit\\city_retrofit --idd C:\\Users\\m_hamsai\\miniconda3\\envs\\CERC_HUB\\Lib\\site-packages\\hub\\exports\\building_energy\\idf_files\\Energy+.idd --expandobjects --readvars --output-prefix Montreal_ C:\\Users\\m_hamsai\\OneDrive - Concordia University - Canada\\Repositories\\city_retrofit\\city_retrofit\\Montreal_d5de4d.idf\n",
|
||
"\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
" 30%|███ | 6/20 [00:44<02:08, 9.18s/it]"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Processing building with id 01001804\n",
|
||
"\n",
|
||
"C:/EnergyPlusV24-1-0\\energyplus.exe --weather C:\\Users\\m_hamsai\\miniconda3\\envs\\CERC_HUB\\Lib\\site-packages\\hub\\data\\weather\\epw\\CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw --output-directory C:\\Users\\m_hamsai\\OneDrive - Concordia University - Canada\\Repositories\\city_retrofit\\city_retrofit --idd C:\\Users\\m_hamsai\\miniconda3\\envs\\CERC_HUB\\Lib\\site-packages\\hub\\exports\\building_energy\\idf_files\\Energy+.idd --expandobjects --readvars --output-prefix Montreal_ C:\\Users\\m_hamsai\\OneDrive - Concordia University - Canada\\Repositories\\city_retrofit\\city_retrofit\\Montreal_4f188d.idf\n",
|
||
"\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
" 35%|███▌ | 7/20 [00:58<02:20, 10.82s/it]"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Processing building with id 01026412\n",
|
||
"\n",
|
||
"C:/EnergyPlusV24-1-0\\energyplus.exe --weather C:\\Users\\m_hamsai\\miniconda3\\envs\\CERC_HUB\\Lib\\site-packages\\hub\\data\\weather\\epw\\CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw --output-directory C:\\Users\\m_hamsai\\OneDrive - Concordia University - Canada\\Repositories\\city_retrofit\\city_retrofit --idd C:\\Users\\m_hamsai\\miniconda3\\envs\\CERC_HUB\\Lib\\site-packages\\hub\\exports\\building_energy\\idf_files\\Energy+.idd --expandobjects --readvars --output-prefix Montreal_ C:\\Users\\m_hamsai\\OneDrive - Concordia University - Canada\\Repositories\\city_retrofit\\city_retrofit\\Montreal_87d3a3.idf\n",
|
||
"\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
" 40%|████ | 8/20 [01:12<02:20, 11.73s/it]"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Processing building with id 01030953\n",
|
||
"\n",
|
||
"C:/EnergyPlusV24-1-0\\energyplus.exe --weather C:\\Users\\m_hamsai\\miniconda3\\envs\\CERC_HUB\\Lib\\site-packages\\hub\\data\\weather\\epw\\CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw --output-directory C:\\Users\\m_hamsai\\OneDrive - Concordia University - Canada\\Repositories\\city_retrofit\\city_retrofit --idd C:\\Users\\m_hamsai\\miniconda3\\envs\\CERC_HUB\\Lib\\site-packages\\hub\\exports\\building_energy\\idf_files\\Energy+.idd --expandobjects --readvars --output-prefix Montreal_ C:\\Users\\m_hamsai\\OneDrive - Concordia University - Canada\\Repositories\\city_retrofit\\city_retrofit\\Montreal_d01340.idf\n",
|
||
"\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
" 45%|████▌ | 9/20 [01:27<02:19, 12.66s/it]"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Processing building with id 01031631\n",
|
||
"\n",
|
||
"C:/EnergyPlusV24-1-0\\energyplus.exe --weather C:\\Users\\m_hamsai\\miniconda3\\envs\\CERC_HUB\\Lib\\site-packages\\hub\\data\\weather\\epw\\CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw --output-directory C:\\Users\\m_hamsai\\OneDrive - Concordia University - Canada\\Repositories\\city_retrofit\\city_retrofit --idd C:\\Users\\m_hamsai\\miniconda3\\envs\\CERC_HUB\\Lib\\site-packages\\hub\\exports\\building_energy\\idf_files\\Energy+.idd --expandobjects --readvars --output-prefix Montreal_ C:\\Users\\m_hamsai\\OneDrive - Concordia University - Canada\\Repositories\\city_retrofit\\city_retrofit\\Montreal_c73ccf.idf\n",
|
||
"\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
" 55%|█████▌ | 11/20 [01:41<01:21, 9.10s/it]"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"An error occurred for index 4220301A: 'NoneType' object has no attribute 'drop_duplicates'\n",
|
||
"Processing building with id 01001944\n",
|
||
"\n",
|
||
"C:/EnergyPlusV24-1-0\\energyplus.exe --weather C:\\Users\\m_hamsai\\miniconda3\\envs\\CERC_HUB\\Lib\\site-packages\\hub\\data\\weather\\epw\\CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw --output-directory C:\\Users\\m_hamsai\\OneDrive - Concordia University - Canada\\Repositories\\city_retrofit\\city_retrofit --idd C:\\Users\\m_hamsai\\miniconda3\\envs\\CERC_HUB\\Lib\\site-packages\\hub\\exports\\building_energy\\idf_files\\Energy+.idd --expandobjects --readvars --output-prefix Montreal_ C:\\Users\\m_hamsai\\OneDrive - Concordia University - Canada\\Repositories\\city_retrofit\\city_retrofit\\Montreal_c55566.idf\n",
|
||
"\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
" 65%|██████▌ | 13/20 [01:57<00:56, 8.04s/it]"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"An error occurred for index 4290601A: 'NoneType' object has no attribute 'drop_duplicates'\n",
|
||
"Processing building with id 01027868\n",
|
||
"\n",
|
||
"C:/EnergyPlusV24-1-0\\energyplus.exe --weather C:\\Users\\m_hamsai\\miniconda3\\envs\\CERC_HUB\\Lib\\site-packages\\hub\\data\\weather\\epw\\CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw --output-directory C:\\Users\\m_hamsai\\OneDrive - Concordia University - Canada\\Repositories\\city_retrofit\\city_retrofit --idd C:\\Users\\m_hamsai\\miniconda3\\envs\\CERC_HUB\\Lib\\site-packages\\hub\\exports\\building_energy\\idf_files\\Energy+.idd --expandobjects --readvars --output-prefix Montreal_ C:\\Users\\m_hamsai\\OneDrive - Concordia University - Canada\\Repositories\\city_retrofit\\city_retrofit\\Montreal_67b7fe.idf\n",
|
||
"\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
" 75%|███████▌ | 15/20 [02:12<00:35, 7.02s/it]"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"An error occurred for index 4370101A: 'NoneType' object has no attribute 'drop_duplicates'\n",
|
||
"Processing building with id 01016997\n",
|
||
"\n",
|
||
"C:/EnergyPlusV24-1-0\\energyplus.exe --weather C:\\Users\\m_hamsai\\miniconda3\\envs\\CERC_HUB\\Lib\\site-packages\\hub\\data\\weather\\epw\\CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw --output-directory C:\\Users\\m_hamsai\\OneDrive - Concordia University - Canada\\Repositories\\city_retrofit\\city_retrofit --idd C:\\Users\\m_hamsai\\miniconda3\\envs\\CERC_HUB\\Lib\\site-packages\\hub\\exports\\building_energy\\idf_files\\Energy+.idd --expandobjects --readvars --output-prefix Montreal_ C:\\Users\\m_hamsai\\OneDrive - Concordia University - Canada\\Repositories\\city_retrofit\\city_retrofit\\Montreal_12b2b9.idf\n",
|
||
"\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
" 85%|████████▌ | 17/20 [02:38<00:26, 8.93s/it]"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"An error occurred for index 4740102A: 'NoneType' object has no attribute 'drop_duplicates'\n",
|
||
"Processing building with id 01093229\n",
|
||
"\n",
|
||
"C:/EnergyPlusV24-1-0\\energyplus.exe --weather C:\\Users\\m_hamsai\\miniconda3\\envs\\CERC_HUB\\Lib\\site-packages\\hub\\data\\weather\\epw\\CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw --output-directory C:\\Users\\m_hamsai\\OneDrive - Concordia University - Canada\\Repositories\\city_retrofit\\city_retrofit --idd C:\\Users\\m_hamsai\\miniconda3\\envs\\CERC_HUB\\Lib\\site-packages\\hub\\exports\\building_energy\\idf_files\\Energy+.idd --expandobjects --readvars --output-prefix Montreal_ C:\\Users\\m_hamsai\\OneDrive - Concordia University - Canada\\Repositories\\city_retrofit\\city_retrofit\\Montreal_182e1d.idf\n",
|
||
"\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
" 95%|█████████▌| 19/20 [02:53<00:07, 7.57s/it]"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"An error occurred for index 4950101A: 'NoneType' object has no attribute 'drop_duplicates'\n",
|
||
"Processing building with id 01024652\n",
|
||
"\n",
|
||
"C:/EnergyPlusV24-1-0\\energyplus.exe --weather C:\\Users\\m_hamsai\\miniconda3\\envs\\CERC_HUB\\Lib\\site-packages\\hub\\data\\weather\\epw\\CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw --output-directory C:\\Users\\m_hamsai\\OneDrive - Concordia University - Canada\\Repositories\\city_retrofit\\city_retrofit --idd C:\\Users\\m_hamsai\\miniconda3\\envs\\CERC_HUB\\Lib\\site-packages\\hub\\exports\\building_energy\\idf_files\\Energy+.idd --expandobjects --readvars --output-prefix Montreal_ C:\\Users\\m_hamsai\\OneDrive - Concordia University - Canada\\Repositories\\city_retrofit\\city_retrofit\\Montreal_a97f38.idf\n",
|
||
"\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"100%|██████████| 20/20 [03:10<00:00, 9.51s/it]\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"output_geojson_path = r'out_files\\OMHM buildings'\n",
|
||
"output_csv_path = r'.\\Montreal_out.csv'\n",
|
||
"indices = list(df_filtered_dict.keys())\n",
|
||
"output_df = process_buildings(df_filtered_dict, LoD1, indices, output_geojson_path, output_csv_path, file_path)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 8,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe tbody tr th {\n",
|
||
" vertical-align: top;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe thead th {\n",
|
||
" text-align: right;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>Simulation 01128423</th>\n",
|
||
" <th>Reported 01128423</th>\n",
|
||
" <th>Simulation 01027192</th>\n",
|
||
" <th>Reported 01027192</th>\n",
|
||
" <th>Simulation 01001802</th>\n",
|
||
" <th>Reported 01001802</th>\n",
|
||
" <th>Simulation 01001804</th>\n",
|
||
" <th>Reported 01001804</th>\n",
|
||
" <th>Simulation 01026412</th>\n",
|
||
" <th>Reported 01026412</th>\n",
|
||
" <th>...</th>\n",
|
||
" <th>Simulation 01031631</th>\n",
|
||
" <th>Reported 01031631</th>\n",
|
||
" <th>Simulation 01001944</th>\n",
|
||
" <th>Reported 01001944</th>\n",
|
||
" <th>Simulation 01027868</th>\n",
|
||
" <th>Reported 01027868</th>\n",
|
||
" <th>Simulation 01093229</th>\n",
|
||
" <th>Reported 01093229</th>\n",
|
||
" <th>Simulation 01024652</th>\n",
|
||
" <th>Reported 01024652</th>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>Date/Time</th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>1900-01-31</th>\n",
|
||
" <td>587.021010</td>\n",
|
||
" <td>52.992</td>\n",
|
||
" <td>932.486503</td>\n",
|
||
" <td>144.72</td>\n",
|
||
" <td>370.778931</td>\n",
|
||
" <td>55.512</td>\n",
|
||
" <td>455.457712</td>\n",
|
||
" <td>31.824</td>\n",
|
||
" <td>402.090535</td>\n",
|
||
" <td>50.688</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>310.894405</td>\n",
|
||
" <td>21.909384</td>\n",
|
||
" <td>1122.474204</td>\n",
|
||
" <td>211.968</td>\n",
|
||
" <td>1982.406008</td>\n",
|
||
" <td>796.608</td>\n",
|
||
" <td>438.131633</td>\n",
|
||
" <td>51.932628</td>\n",
|
||
" <td>2001.557701</td>\n",
|
||
" <td>328.32</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1900-02-28</th>\n",
|
||
" <td>573.321153</td>\n",
|
||
" <td>41.328</td>\n",
|
||
" <td>907.982953</td>\n",
|
||
" <td>114.912</td>\n",
|
||
" <td>360.283070</td>\n",
|
||
" <td>41.472</td>\n",
|
||
" <td>443.126560</td>\n",
|
||
" <td>24.768</td>\n",
|
||
" <td>390.714034</td>\n",
|
||
" <td>36.288</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>301.421761</td>\n",
|
||
" <td>21.4704</td>\n",
|
||
" <td>1093.086996</td>\n",
|
||
" <td>164.16</td>\n",
|
||
" <td>1924.680741</td>\n",
|
||
" <td>636.768</td>\n",
|
||
" <td>425.342346</td>\n",
|
||
" <td>49.321908</td>\n",
|
||
" <td>1944.055947</td>\n",
|
||
" <td>271.296</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1900-03-31</th>\n",
|
||
" <td>425.685320</td>\n",
|
||
" <td>34.848</td>\n",
|
||
" <td>666.486421</td>\n",
|
||
" <td>103.68</td>\n",
|
||
" <td>264.053421</td>\n",
|
||
" <td>40.824</td>\n",
|
||
" <td>325.947651</td>\n",
|
||
" <td>22.176</td>\n",
|
||
" <td>285.941732</td>\n",
|
||
" <td>32.544</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>219.735312</td>\n",
|
||
" <td>17.2224</td>\n",
|
||
" <td>804.298282</td>\n",
|
||
" <td>144.864</td>\n",
|
||
" <td>1386.148812</td>\n",
|
||
" <td>568.512</td>\n",
|
||
" <td>311.084915</td>\n",
|
||
" <td>48.045816</td>\n",
|
||
" <td>1408.295053</td>\n",
|
||
" <td>242.784</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1900-04-30</th>\n",
|
||
" <td>245.320129</td>\n",
|
||
" <td>22.896</td>\n",
|
||
" <td>375.362547</td>\n",
|
||
" <td>77.112</td>\n",
|
||
" <td>149.074165</td>\n",
|
||
" <td>27.432</td>\n",
|
||
" <td>185.271536</td>\n",
|
||
" <td>15.984</td>\n",
|
||
" <td>160.274882</td>\n",
|
||
" <td>22.176</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>122.800271</td>\n",
|
||
" <td>11.448</td>\n",
|
||
" <td>456.492614</td>\n",
|
||
" <td>99.936</td>\n",
|
||
" <td>742.255077</td>\n",
|
||
" <td>401.76</td>\n",
|
||
" <td>174.383195</td>\n",
|
||
" <td>33.1632</td>\n",
|
||
" <td>764.155757</td>\n",
|
||
" <td>180.576</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1900-05-31</th>\n",
|
||
" <td>122.355650</td>\n",
|
||
" <td>9.504</td>\n",
|
||
" <td>175.868668</td>\n",
|
||
" <td>51.192</td>\n",
|
||
" <td>69.748871</td>\n",
|
||
" <td>15.12</td>\n",
|
||
" <td>88.076347</td>\n",
|
||
" <td>11.376</td>\n",
|
||
" <td>76.572002</td>\n",
|
||
" <td>12.096</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>58.403406</td>\n",
|
||
" <td>8.159004</td>\n",
|
||
" <td>216.738417</td>\n",
|
||
" <td>70.272</td>\n",
|
||
" <td>325.980314</td>\n",
|
||
" <td>235.008</td>\n",
|
||
" <td>83.367088</td>\n",
|
||
" <td>29.1429</td>\n",
|
||
" <td>342.613717</td>\n",
|
||
" <td>135.648</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1900-06-30</th>\n",
|
||
" <td>41.815496</td>\n",
|
||
" <td>6.048</td>\n",
|
||
" <td>53.158087</td>\n",
|
||
" <td>37.8</td>\n",
|
||
" <td>21.043379</td>\n",
|
||
" <td>11.016</td>\n",
|
||
" <td>27.346874</td>\n",
|
||
" <td>9.792</td>\n",
|
||
" <td>25.614253</td>\n",
|
||
" <td>9.504</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>19.532595</td>\n",
|
||
" <td>5.33034</td>\n",
|
||
" <td>67.066906</td>\n",
|
||
" <td>60.768</td>\n",
|
||
" <td>93.080660</td>\n",
|
||
" <td>215.136</td>\n",
|
||
" <td>27.876285</td>\n",
|
||
" <td>19.183896</td>\n",
|
||
" <td>101.206960</td>\n",
|
||
" <td>108.864</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1900-07-31</th>\n",
|
||
" <td>17.660629</td>\n",
|
||
" <td>5.184</td>\n",
|
||
" <td>19.312046</td>\n",
|
||
" <td>37.368</td>\n",
|
||
" <td>7.746472</td>\n",
|
||
" <td>9.504</td>\n",
|
||
" <td>10.323728</td>\n",
|
||
" <td>9.936</td>\n",
|
||
" <td>11.095029</td>\n",
|
||
" <td>8.928</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>8.608291</td>\n",
|
||
" <td>5.211864</td>\n",
|
||
" <td>25.181622</td>\n",
|
||
" <td>68.256</td>\n",
|
||
" <td>34.649026</td>\n",
|
||
" <td>204.768</td>\n",
|
||
" <td>12.149931</td>\n",
|
||
" <td>19.401336</td>\n",
|
||
" <td>38.540016</td>\n",
|
||
" <td>112.32</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1900-08-31</th>\n",
|
||
" <td>23.143086</td>\n",
|
||
" <td>5.328</td>\n",
|
||
" <td>26.949412</td>\n",
|
||
" <td>38.448</td>\n",
|
||
" <td>10.940518</td>\n",
|
||
" <td>9.504</td>\n",
|
||
" <td>14.378627</td>\n",
|
||
" <td>10.512</td>\n",
|
||
" <td>14.355943</td>\n",
|
||
" <td>8.64</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>11.217447</td>\n",
|
||
" <td>4.968</td>\n",
|
||
" <td>34.719645</td>\n",
|
||
" <td>63.072</td>\n",
|
||
" <td>46.695298</td>\n",
|
||
" <td>199.584</td>\n",
|
||
" <td>15.817181</td>\n",
|
||
" <td>18.514944</td>\n",
|
||
" <td>51.365646</td>\n",
|
||
" <td>107.136</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1900-09-30</th>\n",
|
||
" <td>94.073168</td>\n",
|
||
" <td>8.352</td>\n",
|
||
" <td>129.659395</td>\n",
|
||
" <td>40.392</td>\n",
|
||
" <td>51.866860</td>\n",
|
||
" <td>11.232</td>\n",
|
||
" <td>65.986919</td>\n",
|
||
" <td>9.504</td>\n",
|
||
" <td>57.485525</td>\n",
|
||
" <td>10.656</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>44.099635</td>\n",
|
||
" <td>6.832728</td>\n",
|
||
" <td>160.595088</td>\n",
|
||
" <td>63.648</td>\n",
|
||
" <td>234.528243</td>\n",
|
||
" <td>220.32</td>\n",
|
||
" <td>62.753288</td>\n",
|
||
" <td>20.315628</td>\n",
|
||
" <td>246.686844</td>\n",
|
||
" <td>102.816</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1900-10-31</th>\n",
|
||
" <td>213.496074</td>\n",
|
||
" <td>14.688</td>\n",
|
||
" <td>321.969693</td>\n",
|
||
" <td>55.296</td>\n",
|
||
" <td>128.752246</td>\n",
|
||
" <td>16.632</td>\n",
|
||
" <td>160.190880</td>\n",
|
||
" <td>11.952</td>\n",
|
||
" <td>138.780514</td>\n",
|
||
" <td>18.144</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>107.169386</td>\n",
|
||
" <td>8.891424</td>\n",
|
||
" <td>391.285170</td>\n",
|
||
" <td>75.744</td>\n",
|
||
" <td>636.069326</td>\n",
|
||
" <td>309.312</td>\n",
|
||
" <td>151.188176</td>\n",
|
||
" <td>27.807012</td>\n",
|
||
" <td>647.388824</td>\n",
|
||
" <td>127.872</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1900-11-30</th>\n",
|
||
" <td>328.582153</td>\n",
|
||
" <td>24.192</td>\n",
|
||
" <td>512.100655</td>\n",
|
||
" <td>76.248</td>\n",
|
||
" <td>204.674806</td>\n",
|
||
" <td>25.272</td>\n",
|
||
" <td>252.493274</td>\n",
|
||
" <td>16.272</td>\n",
|
||
" <td>220.755978</td>\n",
|
||
" <td>26.784</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>171.070987</td>\n",
|
||
" <td>12.770676</td>\n",
|
||
" <td>619.214106</td>\n",
|
||
" <td>99.936</td>\n",
|
||
" <td>1052.511917</td>\n",
|
||
" <td>427.68</td>\n",
|
||
" <td>240.750794</td>\n",
|
||
" <td>32.41152</td>\n",
|
||
" <td>1065.450753</td>\n",
|
||
" <td>185.76</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1900-12-31</th>\n",
|
||
" <td>521.781953</td>\n",
|
||
" <td>37.152</td>\n",
|
||
" <td>827.651673</td>\n",
|
||
" <td>100.008</td>\n",
|
||
" <td>329.448735</td>\n",
|
||
" <td>37.8</td>\n",
|
||
" <td>404.831509</td>\n",
|
||
" <td>22.464</td>\n",
|
||
" <td>356.948091</td>\n",
|
||
" <td>35.712</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>276.269108</td>\n",
|
||
" <td>16.9632</td>\n",
|
||
" <td>997.081274</td>\n",
|
||
" <td>144.576</td>\n",
|
||
" <td>1749.346791</td>\n",
|
||
" <td>578.88</td>\n",
|
||
" <td>389.134386</td>\n",
|
||
" <td>46.756872</td>\n",
|
||
" <td>1767.304812</td>\n",
|
||
" <td>248.832</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>12 rows × 22 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Simulation 01128423 Reported 01128423 Simulation 01027192 \\\n",
|
||
"Date/Time \n",
|
||
"1900-01-31 587.021010 52.992 932.486503 \n",
|
||
"1900-02-28 573.321153 41.328 907.982953 \n",
|
||
"1900-03-31 425.685320 34.848 666.486421 \n",
|
||
"1900-04-30 245.320129 22.896 375.362547 \n",
|
||
"1900-05-31 122.355650 9.504 175.868668 \n",
|
||
"1900-06-30 41.815496 6.048 53.158087 \n",
|
||
"1900-07-31 17.660629 5.184 19.312046 \n",
|
||
"1900-08-31 23.143086 5.328 26.949412 \n",
|
||
"1900-09-30 94.073168 8.352 129.659395 \n",
|
||
"1900-10-31 213.496074 14.688 321.969693 \n",
|
||
"1900-11-30 328.582153 24.192 512.100655 \n",
|
||
"1900-12-31 521.781953 37.152 827.651673 \n",
|
||
"\n",
|
||
" Reported 01027192 Simulation 01001802 Reported 01001802 \\\n",
|
||
"Date/Time \n",
|
||
"1900-01-31 144.72 370.778931 55.512 \n",
|
||
"1900-02-28 114.912 360.283070 41.472 \n",
|
||
"1900-03-31 103.68 264.053421 40.824 \n",
|
||
"1900-04-30 77.112 149.074165 27.432 \n",
|
||
"1900-05-31 51.192 69.748871 15.12 \n",
|
||
"1900-06-30 37.8 21.043379 11.016 \n",
|
||
"1900-07-31 37.368 7.746472 9.504 \n",
|
||
"1900-08-31 38.448 10.940518 9.504 \n",
|
||
"1900-09-30 40.392 51.866860 11.232 \n",
|
||
"1900-10-31 55.296 128.752246 16.632 \n",
|
||
"1900-11-30 76.248 204.674806 25.272 \n",
|
||
"1900-12-31 100.008 329.448735 37.8 \n",
|
||
"\n",
|
||
" Simulation 01001804 Reported 01001804 Simulation 01026412 \\\n",
|
||
"Date/Time \n",
|
||
"1900-01-31 455.457712 31.824 402.090535 \n",
|
||
"1900-02-28 443.126560 24.768 390.714034 \n",
|
||
"1900-03-31 325.947651 22.176 285.941732 \n",
|
||
"1900-04-30 185.271536 15.984 160.274882 \n",
|
||
"1900-05-31 88.076347 11.376 76.572002 \n",
|
||
"1900-06-30 27.346874 9.792 25.614253 \n",
|
||
"1900-07-31 10.323728 9.936 11.095029 \n",
|
||
"1900-08-31 14.378627 10.512 14.355943 \n",
|
||
"1900-09-30 65.986919 9.504 57.485525 \n",
|
||
"1900-10-31 160.190880 11.952 138.780514 \n",
|
||
"1900-11-30 252.493274 16.272 220.755978 \n",
|
||
"1900-12-31 404.831509 22.464 356.948091 \n",
|
||
"\n",
|
||
" Reported 01026412 ... Simulation 01031631 Reported 01031631 \\\n",
|
||
"Date/Time ... \n",
|
||
"1900-01-31 50.688 ... 310.894405 21.909384 \n",
|
||
"1900-02-28 36.288 ... 301.421761 21.4704 \n",
|
||
"1900-03-31 32.544 ... 219.735312 17.2224 \n",
|
||
"1900-04-30 22.176 ... 122.800271 11.448 \n",
|
||
"1900-05-31 12.096 ... 58.403406 8.159004 \n",
|
||
"1900-06-30 9.504 ... 19.532595 5.33034 \n",
|
||
"1900-07-31 8.928 ... 8.608291 5.211864 \n",
|
||
"1900-08-31 8.64 ... 11.217447 4.968 \n",
|
||
"1900-09-30 10.656 ... 44.099635 6.832728 \n",
|
||
"1900-10-31 18.144 ... 107.169386 8.891424 \n",
|
||
"1900-11-30 26.784 ... 171.070987 12.770676 \n",
|
||
"1900-12-31 35.712 ... 276.269108 16.9632 \n",
|
||
"\n",
|
||
" Simulation 01001944 Reported 01001944 Simulation 01027868 \\\n",
|
||
"Date/Time \n",
|
||
"1900-01-31 1122.474204 211.968 1982.406008 \n",
|
||
"1900-02-28 1093.086996 164.16 1924.680741 \n",
|
||
"1900-03-31 804.298282 144.864 1386.148812 \n",
|
||
"1900-04-30 456.492614 99.936 742.255077 \n",
|
||
"1900-05-31 216.738417 70.272 325.980314 \n",
|
||
"1900-06-30 67.066906 60.768 93.080660 \n",
|
||
"1900-07-31 25.181622 68.256 34.649026 \n",
|
||
"1900-08-31 34.719645 63.072 46.695298 \n",
|
||
"1900-09-30 160.595088 63.648 234.528243 \n",
|
||
"1900-10-31 391.285170 75.744 636.069326 \n",
|
||
"1900-11-30 619.214106 99.936 1052.511917 \n",
|
||
"1900-12-31 997.081274 144.576 1749.346791 \n",
|
||
"\n",
|
||
" Reported 01027868 Simulation 01093229 Reported 01093229 \\\n",
|
||
"Date/Time \n",
|
||
"1900-01-31 796.608 438.131633 51.932628 \n",
|
||
"1900-02-28 636.768 425.342346 49.321908 \n",
|
||
"1900-03-31 568.512 311.084915 48.045816 \n",
|
||
"1900-04-30 401.76 174.383195 33.1632 \n",
|
||
"1900-05-31 235.008 83.367088 29.1429 \n",
|
||
"1900-06-30 215.136 27.876285 19.183896 \n",
|
||
"1900-07-31 204.768 12.149931 19.401336 \n",
|
||
"1900-08-31 199.584 15.817181 18.514944 \n",
|
||
"1900-09-30 220.32 62.753288 20.315628 \n",
|
||
"1900-10-31 309.312 151.188176 27.807012 \n",
|
||
"1900-11-30 427.68 240.750794 32.41152 \n",
|
||
"1900-12-31 578.88 389.134386 46.756872 \n",
|
||
"\n",
|
||
" Simulation 01024652 Reported 01024652 \n",
|
||
"Date/Time \n",
|
||
"1900-01-31 2001.557701 328.32 \n",
|
||
"1900-02-28 1944.055947 271.296 \n",
|
||
"1900-03-31 1408.295053 242.784 \n",
|
||
"1900-04-30 764.155757 180.576 \n",
|
||
"1900-05-31 342.613717 135.648 \n",
|
||
"1900-06-30 101.206960 108.864 \n",
|
||
"1900-07-31 38.540016 112.32 \n",
|
||
"1900-08-31 51.365646 107.136 \n",
|
||
"1900-09-30 246.686844 102.816 \n",
|
||
"1900-10-31 647.388824 127.872 \n",
|
||
"1900-11-30 1065.450753 185.76 \n",
|
||
"1900-12-31 1767.304812 248.832 \n",
|
||
"\n",
|
||
"[12 rows x 22 columns]"
|
||
]
|
||
},
|
||
"execution_count": 8,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"output_df"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 9,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe tbody tr th {\n",
|
||
" vertical-align: top;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe thead th {\n",
|
||
" text-align: right;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>Date/Time</th>\n",
|
||
" <th>Variable</th>\n",
|
||
" <th>Value</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>1900-01-31</td>\n",
|
||
" <td>Simulation 01128423</td>\n",
|
||
" <td>587.02101</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>1900-02-28</td>\n",
|
||
" <td>Simulation 01128423</td>\n",
|
||
" <td>573.321153</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>1900-03-31</td>\n",
|
||
" <td>Simulation 01128423</td>\n",
|
||
" <td>425.68532</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>1900-04-30</td>\n",
|
||
" <td>Simulation 01128423</td>\n",
|
||
" <td>245.320129</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>1900-05-31</td>\n",
|
||
" <td>Simulation 01128423</td>\n",
|
||
" <td>122.35565</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>259</th>\n",
|
||
" <td>1900-08-31</td>\n",
|
||
" <td>Reported 01024652</td>\n",
|
||
" <td>107.136</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>260</th>\n",
|
||
" <td>1900-09-30</td>\n",
|
||
" <td>Reported 01024652</td>\n",
|
||
" <td>102.816</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>261</th>\n",
|
||
" <td>1900-10-31</td>\n",
|
||
" <td>Reported 01024652</td>\n",
|
||
" <td>127.872</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>262</th>\n",
|
||
" <td>1900-11-30</td>\n",
|
||
" <td>Reported 01024652</td>\n",
|
||
" <td>185.76</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>263</th>\n",
|
||
" <td>1900-12-31</td>\n",
|
||
" <td>Reported 01024652</td>\n",
|
||
" <td>248.832</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>264 rows × 3 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Date/Time Variable Value\n",
|
||
"0 1900-01-31 Simulation 01128423 587.02101\n",
|
||
"1 1900-02-28 Simulation 01128423 573.321153\n",
|
||
"2 1900-03-31 Simulation 01128423 425.68532\n",
|
||
"3 1900-04-30 Simulation 01128423 245.320129\n",
|
||
"4 1900-05-31 Simulation 01128423 122.35565\n",
|
||
".. ... ... ...\n",
|
||
"259 1900-08-31 Reported 01024652 107.136\n",
|
||
"260 1900-09-30 Reported 01024652 102.816\n",
|
||
"261 1900-10-31 Reported 01024652 127.872\n",
|
||
"262 1900-11-30 Reported 01024652 185.76\n",
|
||
"263 1900-12-31 Reported 01024652 248.832\n",
|
||
"\n",
|
||
"[264 rows x 3 columns]"
|
||
]
|
||
},
|
||
"execution_count": 9,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"# now plot every pair in the same color, but one dashed and one full line, all in one plot using plotly\n",
|
||
"results_melted = output_df.reset_index().melt(id_vars='Date/Time', var_name='Variable', value_name='Value')\n",
|
||
"results_melted"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 10,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
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|
||
"text/plain": [
|
||
"<Figure size 2000x1600 with 11 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import matplotlib.pyplot as plt\n",
|
||
"import plotly.express as px\n",
|
||
"\n",
|
||
"def plot_results(output_df, results_melted, fig_width=15, fig_height_per_row=5, num_cols=2):\n",
|
||
" # Determine the number of successful indices\n",
|
||
" succesful = list(set([int(col.split(' ')[-1]) for col in output_df.columns]))\n",
|
||
" # add a zero to the beginning of each element in succesful\n",
|
||
" succesful = [f'0{i}' for i in succesful]\n",
|
||
"\n",
|
||
" # Create a color list with the same length as the number of successful indices\n",
|
||
" colors = lambda n: {i: px.colors.qualitative.Plotly[i % len(px.colors.qualitative.Plotly)] for i in range(len(n))}\n",
|
||
" colors = colors(succesful)\n",
|
||
" # Modify the dict so that the keys are the successful indices\n",
|
||
" colors = {succesful[i]: colors[i] for i in range(len(succesful))}\n",
|
||
"\n",
|
||
" # Determine the number of rows and columns for the subplots\n",
|
||
" num_plots = len(succesful)\n",
|
||
" num_rows = (num_plots + num_cols - 1) // num_cols\n",
|
||
"\n",
|
||
" # Create a figure and subplots\n",
|
||
" fig, axes = plt.subplots(num_rows, num_cols, figsize=(fig_width, num_rows * fig_height_per_row))\n",
|
||
" axes = axes.flatten()\n",
|
||
"\n",
|
||
" # Add the traces to the subplots\n",
|
||
" for idx, i in enumerate(succesful):\n",
|
||
" ax = axes[idx]\n",
|
||
" ax.plot(results_melted[results_melted['Variable'] == f'Simulation {i}']['Date/Time'], \n",
|
||
" results_melted[results_melted['Variable'] == f'Simulation {i}']['Value'], \n",
|
||
" linestyle='--', linewidth=2, label=f'Simulation {i}', color=colors[i])\n",
|
||
" ax.plot(results_melted[results_melted['Variable'] == f'Reported {i}']['Date/Time'], \n",
|
||
" results_melted[results_melted['Variable'] == f'Reported {i}']['Value'], \n",
|
||
" linestyle='-', linewidth=2, label=f'Reported {i}', color=colors[i])\n",
|
||
" ax.legend()\n",
|
||
" ax.set_title(f'Simulation and Reported {i}')\n",
|
||
" ax.set_xlabel('Date/Time')\n",
|
||
" ax.set_ylabel('Value')\n",
|
||
" # add grid\n",
|
||
" ax.grid(True)\n",
|
||
"\n",
|
||
" # Remove any empty subplots\n",
|
||
" for j in range(idx + 1, len(axes)):\n",
|
||
" fig.delaxes(axes[j])\n",
|
||
"\n",
|
||
" plt.tight_layout()\n",
|
||
" plt.show()\n",
|
||
" # return everything\n",
|
||
"\n",
|
||
"\n",
|
||
"# Example usage\n",
|
||
"plot_results(output_df, results_melted, fig_width=20, fig_height_per_row=4, num_cols=3)"
|
||
]
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "Python 3",
|
||
"language": "python",
|
||
"name": "python3"
|
||
},
|
||
"language_info": {
|
||
"codemirror_mode": {
|
||
"name": "ipython",
|
||
"version": 3
|
||
},
|
||
"file_extension": ".py",
|
||
"mimetype": "text/x-python",
|
||
"name": "python",
|
||
"nbconvert_exporter": "python",
|
||
"pygments_lexer": "ipython3",
|
||
"version": "3.9.19"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 2
|
||
}
|