From dd5030233e0cca4b5e2b49523497e3e7b72a0ac7 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Mart=C3=ADn=20Mosteiro=20Romero?= Date: Tue, 13 Dec 2022 21:30:36 +0800 Subject: [PATCH] update notebook and plots --- ...full_paper_workflow-Copy2-checkpoint.ipynb | 252 +++++++++++++++++- full_paper_workflow-Copy2.ipynb | 205 +++++++++++++- plots/Electricity_and_cooling_outliers.pdf | Bin 220626 -> 220626 bytes plots/Sample_wifi_clusters_2018_2019.pdf | Bin 0 -> 31449 bytes plots/Sample_wifi_clusters_2020.pdf | Bin 0 -> 24953 bytes 5 files changed, 441 insertions(+), 16 deletions(-) create mode 100644 plots/Sample_wifi_clusters_2018_2019.pdf create mode 100644 plots/Sample_wifi_clusters_2020.pdf diff --git a/.ipynb_checkpoints/full_paper_workflow-Copy2-checkpoint.ipynb b/.ipynb_checkpoints/full_paper_workflow-Copy2-checkpoint.ipynb index 7708da0..a50f0e2 100644 --- a/.ipynb_checkpoints/full_paper_workflow-Copy2-checkpoint.ipynb +++ b/.ipynb_checkpoints/full_paper_workflow-Copy2-checkpoint.ipynb @@ -32,7 +32,9 @@ "# Import packages\n", "import datetime\n", "import geopandas as gpd\n", + "import holidays\n", "import itertools\n", + "import july\n", "import numpy as np\n", "import os\n", "import pandas as pd\n", @@ -149,13 +151,76 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Electricity" + "### Plot sample buildings" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "max_Z_score = 5\n", + "buildings = ['B1150', 'B1134', 'B1153', 'B1081']\n", + "buildings.sort()\n", + "\n", + "n_rows = len(buildings)\n", + "n_cols = 2\n", + "fig, ax = plt.subplots(n_rows, n_cols, figsize=(6.5 * n_cols, 2 * n_rows), sharex=True)\n", + "\n", + "Z_scores_cooling = np.abs(cooling_data - cooling_data.mean()) / cooling_data.std()\n", + "Z_scores_electricity = (electricity_data - electricity_data.mean()) / electricity_data.std()\n", + "\n", + "for n, building in enumerate(buildings):\n", + " \n", + " electricity_data[building].loc[electricity_data[building].index.year == 2020].plot(\n", + " ax=ax[n][0], legend=False, color='g')\n", + " if len(electricity_data.loc[(Z_scores_electricity[building] > max_Z_score) &\n", + " (electricity_data[building].index.year == 2020), building]) > 0:\n", + " electricity_data.loc[(Z_scores_electricity[building] > max_Z_score) &\n", + " (electricity_data[building].index.year == 2020), building].plot(\n", + " ax=ax[n][0], marker='o', color='r', linewidth=0)\n", + " ax[n][0].set_ylabel(f'{building} \\n Electricity \\n [kWh]')\n", + " ax[n][0].set_xlabel('')\n", + " \n", + " cooling_data[building].loc[cooling_data[building].index.year == 2020].plot(ax=ax[n][1], legend=False)\n", + " if len(cooling_data.loc[(Z_scores_cooling[building] > max_Z_score) &\n", + " (cooling_data[building].index.year == 2020), building]) > 0:\n", + " cooling_data.loc[(Z_scores_cooling[building] > max_Z_score) &\n", + " (cooling_data[building].index.year == 2020), building].plot(\n", + " ax=ax[n][1], marker='o', color='r', linewidth=0)\n", + " ax[n][1].set_ylabel(f'{building} \\n Cooling \\n [kWh]')\n", + " ax[n][1].set_xlabel('')\n", + "\n", + "ax[n_rows - 1][1].set_xticks(np.array(list(ax[n_rows - 1][1].get_xticks()[:-1]) +\n", + " [ax[n_rows - 1][1].get_xticks()[-1] + 1]))\n", + "\n", + "fig.tight_layout()\n", + "fig.savefig(os.path.join(os.getcwd(), 'plots', 'Electricity_and_cooling_outliers.pdf'))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Electricity" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, "outputs": [], "source": [ "max_Z_score = 5\n", @@ -267,7 +332,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -418,7 +483,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -430,7 +495,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -118147,6 +118212,185 @@ " '_'.join(['comparison', metric, demand]) + '.csv'))" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 4. Clustering WiFi profiles to create occupancy schedules" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "# Number of clusters for k-means clustering\n", + "n_clusters = 4" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "# Create dict to contain WiFi data\n", + "wifi_data_dict = {}\n", + "for building in list_buildings:\n", + " building_index = wifi_data[building].dropna().index\n", + " wifi_data_dict[building] = wifi_data.loc[building_index, building]" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "# Define colors for plots based on number of clusters\n", + "colors = {1: ['tab:brown'], 2: ['tab:blue', 'tab:cyan'], 3: ['tab:blue', 'tab:brown', 'tab:cyan'], \n", + " 4: ['tab:blue', 'tab:red', 'tab:pink', 'tab:cyan'], \n", + " 5: ['tab:blue', 'tab:purple', 'tab:pink', 'tab:olive', 'tab:cyan'],\n", + " 6: ['tab:blue', 'tab:green', 'tab:purple', 'tab:pink', 'tab:olive', 'tab:cyan']}" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "# Create directories to contain results\n", + "if not os.path.isdir(os.path.join(os.getcwd(), 'occupant_schedules')):\n", + " os.mkdir(os.path.join(os.getcwd(), 'occupant_schedules'))\n", + "if not os.path.isdir(os.path.join(os.getcwd(), 'occupant_schedules', 'clusters')):\n", + " os.mkdir(os.path.join(os.getcwd(), 'occupant_schedules', 'clusters'))\n", + "if not os.path.isdir(os.path.join(os.getcwd(), 'occupant_schedules', 'clusters',\n", + " 'k_' + str(n_clusters) + '_pre_and_post')):\n", + " os.mkdir(os.path.join(os.getcwd(), 'occupant_schedules', 'clusters',\n", + " 'k_' + str(n_clusters) + '_pre_and_post'))\n", + "if not os.path.isdir(os.path.join(os.getcwd(), 'occupant_schedules', 'clusters',\n", + " 'k_' + str(n_clusters) + '_pre_and_post', 'schedule_assignments')):\n", + " os.mkdir(os.path.join(os.getcwd(), 'occupant_schedules', 'clusters',\n", + " 'k_' + str(n_clusters) + '_pre_and_post', 'schedule_assignments'))\n", + "if not os.path.isdir(os.path.join(os.getcwd(), 'occupant_schedules', 'clusters',\n", + " 'k_' + str(n_clusters) + '_pre_and_post', 'schedules')):\n", + " os.mkdir(os.path.join(os.getcwd(), 'occupant_schedules', 'clusters',\n", + " 'k_' + str(n_clusters) + '_pre_and_post', 'schedules'))\n", + "if not os.path.isdir(os.path.join(os.getcwd(), 'occupant_schedules', 'plots')):\n", + " os.mkdir(os.path.join(os.getcwd(), 'occupant_schedules', 'plots'))\n", + "if not os.path.isdir(os.path.join(\n", + " os.getcwd(), 'occupant_schedules', 'plots', 'k_' + str(n_clusters) + '_pre_and_post')):\n", + " os.mkdir(os.path.join(\n", + " os.getcwd(), 'occupant_schedules', 'plots', 'k_' + str(n_clusters) + '_pre_and_post'))" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "# Get public holidays in Singapore\n", + "public_holidays = [i[0] for i in sorted(holidays.SG(years=range(2018,2021)).items())]" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [], + "source": [ + "for building in [b for b in wifi_data_dict.keys() if (len(wifi_data_dict[b]) > 0)]:\n", + " # create wifi data dataframe\n", + " df = wifi_data_dict[building].to_frame().rename(columns={building: 'wifi'})\n", + " df.index.name = 'DateTime'\n", + " df['Date'] = df.index.date\n", + " df['Time'] = df.index.time\n", + " df['Weekday'] = df.index.weekday\n", + " df['Holiday'] = df.Date.isin(public_holidays)\n", + " # subtract daily minimum\n", + " for d in df.Date.unique():\n", + " df.loc[df.Date==d, 'wifi'] -= df.loc[df.Date==d, 'wifi'].min()\n", + " # create dataframe for cluster assignments\n", + " cluster_assignment = pd.DataFrame(index=pd.date_range('2018-01-01 00:00', '2020-12-31 23:59', freq='D'),\n", + " columns=['cluster'], data=None)\n", + " cluster_assignment['Weekday'] = [d.weekday() for d in cluster_assignment.index]\n", + " cluster_assignment['Holiday'] = cluster_assignment.index.isin(public_holidays)\n", + " # create dataframe to export schedules\n", + " export_clusters = pd.DataFrame(\n", + " index=[datetime.time(i, 0) for i in range(24)],\n", + " columns=['_'.join([str(i), j, str(k[0])]) for i in range(n_clusters) \n", + " for j in ['avg', 'std'] for k in [[2018, 2019], [2020]]], data=None)\n", + " for years in [[2018, 2019], [2020]]:\n", + " # normalize pre-2020 and post-2020 separately\n", + " df.loc[df.index.year.isin(years), 'wifi'] /= df.loc[df.index.year.isin(years), 'wifi'].max()\n", + " df_pivot = pd.pivot_table(df.loc[df.index.year.isin(years)], values='wifi', index='Time',\n", + " columns='Date').dropna(axis=1)\n", + " if len(df_pivot) > 0:\n", + " # run k-means clustering\n", + " matrix_norm = np.matrix(df_pivot).transpose()\n", + " centers, _ = kmeans(matrix_norm, n_clusters, iter=10000)\n", + " cluster, _ = vq(matrix_norm, centers)\n", + "\n", + " cluster_assignment.loc[df_pivot.columns, 'cluster'] = cluster\n", + " for i in range(n_clusters):\n", + " export_clusters['_'.join([str(i), 'avg', str(years[0])])] = df_pivot[\n", + " df_pivot.columns[np.where(cluster==i)]].mean(axis=1)\n", + " export_clusters['_'.join([str(i), 'std', str(years[0])])] = df_pivot[\n", + " df_pivot.columns[np.where(cluster==i)]].std(axis=1)\n", + "\n", + " # save cluster assignments\n", + " cluster_assignment.to_csv(os.path.join(os.getcwd(), 'occupant_schedules', 'clusters', 'k_' + str(\n", + " n_clusters) + '_pre_and_post', 'schedule_assignments', building + '.csv'))\n", + " export_clusters.to_csv(os.path.join(os.getcwd(), 'occupant_schedules', 'clusters', 'k_' + str(\n", + " n_clusters) + '_pre_and_post', 'schedules', building + '.csv'))\n", + "\n", + " # Create plots of cluster assignments\n", + " for years in [[2018, 2019], [2020]]:\n", + " if len(cluster_assignment.loc[cluster_assignment.index.year.isin(years)].dropna()) > 0:\n", + " n_rows = len(years) + 1\n", + " fig, ax = plt.subplots(n_rows, 1, figsize=(15, 5 * n_rows))\n", + " for i, year in enumerate(years):\n", + " # get relevant clusters\n", + " relevant_clusters = [cluster for cluster in cluster_assignment.loc[\n", + " cluster_assignment.index.year == year, 'cluster'].unique() if not np.isnan(cluster)]\n", + " relevant_clusters.sort()\n", + " # plot daily profiles\n", + " for j, n in enumerate(relevant_clusters):\n", + " if f'{str(n)}_avg_{year}' in export_clusters.columns:\n", + " ax[0].plot(range(24), export_clusters[f'{str(n)}_avg_{year}'],\n", + " color=colors[len(relevant_clusters)][j], label=n)\n", + " ax[0].fill_between(range(24), (export_clusters[f'{str(n)}_avg_{year}'] + \n", + " export_clusters[f'{str(n)}_std_{year}']),\n", + " (export_clusters[f'{str(n)}_avg_{year}'] - \n", + " export_clusters[f'{str(n)}_std_{year}']),\n", + " color=colors[len(relevant_clusters)][j], alpha=0.1)\n", + " ax[0].set_title('/'.join(map(str, years)))\n", + " ax[0].set_ylabel('Estimated building occupancy profile')\n", + " ax[0].legend(title='Cluster')\n", + " # plot calendar view\n", + " j = year % 2 + 1\n", + " july.heatmap(cluster_assignment.loc[cluster_assignment.index.year == year].index,\n", + " cluster_assignment.loc[cluster_assignment.index.year == year, 'cluster'],\n", + " cmap=\"tab10\", colorbar=True, ax=ax[j])\n", + " for holiday in [i[0] for i in sorted(holidays.SG(years=year).items())]:\n", + " ax[j].annotate('x', (holiday.isocalendar()[1] - 0.75, holiday.weekday() + 0.65))\n", + " # save plots if and only if there is something to plot\n", + " fig.savefig(os.path.join(\n", + " os.getcwd(), 'occupant_schedules', 'plots',\n", + " f'k_{str(n_clusters)}_pre_and_post', '_'.join([building, '_'.join(map(str, years))]) + '.pdf'))\n", + " plt.close()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "metadata": {}, diff --git a/full_paper_workflow-Copy2.ipynb b/full_paper_workflow-Copy2.ipynb index 62965db..a50f0e2 100644 --- a/full_paper_workflow-Copy2.ipynb +++ b/full_paper_workflow-Copy2.ipynb @@ -32,7 +32,9 @@ "# Import packages\n", "import datetime\n", "import geopandas as gpd\n", + "import holidays\n", "import itertools\n", + "import july\n", "import numpy as np\n", "import os\n", "import pandas as pd\n", @@ -141,12 +143,20 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Plot sample buildings" + "## Measured data cleanup\n", + "Outliers filtered out using Z-scores" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Plot sample buildings" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -200,14 +210,6 @@ "fig.savefig(os.path.join(os.getcwd(), 'plots', 'Electricity_and_cooling_outliers.pdf'))" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Measured data cleanup\n", - "Outliers filtered out using Z-scores" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -481,7 +483,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -493,7 +495,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -118210,6 +118212,185 @@ " '_'.join(['comparison', metric, demand]) + '.csv'))" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 4. Clustering WiFi profiles to create occupancy schedules" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "# Number of clusters for k-means clustering\n", + "n_clusters = 4" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "# Create dict to contain WiFi data\n", + "wifi_data_dict = {}\n", + "for building in list_buildings:\n", + " building_index = wifi_data[building].dropna().index\n", + " wifi_data_dict[building] = wifi_data.loc[building_index, building]" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "# Define colors for plots based on number of clusters\n", + "colors = {1: ['tab:brown'], 2: ['tab:blue', 'tab:cyan'], 3: ['tab:blue', 'tab:brown', 'tab:cyan'], \n", + " 4: ['tab:blue', 'tab:red', 'tab:pink', 'tab:cyan'], \n", + " 5: ['tab:blue', 'tab:purple', 'tab:pink', 'tab:olive', 'tab:cyan'],\n", + " 6: ['tab:blue', 'tab:green', 'tab:purple', 'tab:pink', 'tab:olive', 'tab:cyan']}" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "# Create directories to contain results\n", + "if not os.path.isdir(os.path.join(os.getcwd(), 'occupant_schedules')):\n", + " os.mkdir(os.path.join(os.getcwd(), 'occupant_schedules'))\n", + "if not os.path.isdir(os.path.join(os.getcwd(), 'occupant_schedules', 'clusters')):\n", + " os.mkdir(os.path.join(os.getcwd(), 'occupant_schedules', 'clusters'))\n", + "if not os.path.isdir(os.path.join(os.getcwd(), 'occupant_schedules', 'clusters',\n", + " 'k_' + str(n_clusters) + '_pre_and_post')):\n", + " os.mkdir(os.path.join(os.getcwd(), 'occupant_schedules', 'clusters',\n", + " 'k_' + str(n_clusters) + '_pre_and_post'))\n", + "if not os.path.isdir(os.path.join(os.getcwd(), 'occupant_schedules', 'clusters',\n", + " 'k_' + str(n_clusters) + '_pre_and_post', 'schedule_assignments')):\n", + " os.mkdir(os.path.join(os.getcwd(), 'occupant_schedules', 'clusters',\n", + " 'k_' + str(n_clusters) + '_pre_and_post', 'schedule_assignments'))\n", + "if not os.path.isdir(os.path.join(os.getcwd(), 'occupant_schedules', 'clusters',\n", + " 'k_' + str(n_clusters) + '_pre_and_post', 'schedules')):\n", + " os.mkdir(os.path.join(os.getcwd(), 'occupant_schedules', 'clusters',\n", + " 'k_' + str(n_clusters) + '_pre_and_post', 'schedules'))\n", + "if not os.path.isdir(os.path.join(os.getcwd(), 'occupant_schedules', 'plots')):\n", + " os.mkdir(os.path.join(os.getcwd(), 'occupant_schedules', 'plots'))\n", + "if not os.path.isdir(os.path.join(\n", + " os.getcwd(), 'occupant_schedules', 'plots', 'k_' + str(n_clusters) + '_pre_and_post')):\n", + " os.mkdir(os.path.join(\n", + " os.getcwd(), 'occupant_schedules', 'plots', 'k_' + str(n_clusters) + '_pre_and_post'))" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "# Get public holidays in Singapore\n", + "public_holidays = [i[0] for i in sorted(holidays.SG(years=range(2018,2021)).items())]" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [], + "source": [ + "for building in [b for b in wifi_data_dict.keys() if (len(wifi_data_dict[b]) > 0)]:\n", + " # create wifi data dataframe\n", + " df = wifi_data_dict[building].to_frame().rename(columns={building: 'wifi'})\n", + " df.index.name = 'DateTime'\n", + " df['Date'] = df.index.date\n", + " df['Time'] = df.index.time\n", + " df['Weekday'] = df.index.weekday\n", + " df['Holiday'] = df.Date.isin(public_holidays)\n", + " # subtract daily minimum\n", + " for d in df.Date.unique():\n", + " df.loc[df.Date==d, 'wifi'] -= df.loc[df.Date==d, 'wifi'].min()\n", + " # create dataframe for cluster assignments\n", + " cluster_assignment = pd.DataFrame(index=pd.date_range('2018-01-01 00:00', '2020-12-31 23:59', freq='D'),\n", + " columns=['cluster'], data=None)\n", + " cluster_assignment['Weekday'] = [d.weekday() for d in cluster_assignment.index]\n", + " cluster_assignment['Holiday'] = cluster_assignment.index.isin(public_holidays)\n", + " # create dataframe to export schedules\n", + " export_clusters = pd.DataFrame(\n", + " index=[datetime.time(i, 0) for i in range(24)],\n", + " columns=['_'.join([str(i), j, str(k[0])]) for i in range(n_clusters) \n", + " for j in ['avg', 'std'] for k in [[2018, 2019], [2020]]], data=None)\n", + " for years in [[2018, 2019], [2020]]:\n", + " # normalize pre-2020 and post-2020 separately\n", + " df.loc[df.index.year.isin(years), 'wifi'] /= df.loc[df.index.year.isin(years), 'wifi'].max()\n", + " df_pivot = pd.pivot_table(df.loc[df.index.year.isin(years)], values='wifi', index='Time',\n", + " columns='Date').dropna(axis=1)\n", + " if len(df_pivot) > 0:\n", + " # run k-means clustering\n", + " matrix_norm = np.matrix(df_pivot).transpose()\n", + " centers, _ = kmeans(matrix_norm, n_clusters, iter=10000)\n", + " cluster, _ = vq(matrix_norm, centers)\n", + "\n", + " cluster_assignment.loc[df_pivot.columns, 'cluster'] = cluster\n", + " for i in range(n_clusters):\n", + " export_clusters['_'.join([str(i), 'avg', str(years[0])])] = df_pivot[\n", + " df_pivot.columns[np.where(cluster==i)]].mean(axis=1)\n", + " export_clusters['_'.join([str(i), 'std', str(years[0])])] = df_pivot[\n", + " df_pivot.columns[np.where(cluster==i)]].std(axis=1)\n", + "\n", + " # save cluster assignments\n", + " cluster_assignment.to_csv(os.path.join(os.getcwd(), 'occupant_schedules', 'clusters', 'k_' + str(\n", + " n_clusters) + '_pre_and_post', 'schedule_assignments', building + '.csv'))\n", + " export_clusters.to_csv(os.path.join(os.getcwd(), 'occupant_schedules', 'clusters', 'k_' + str(\n", + " n_clusters) + '_pre_and_post', 'schedules', building + '.csv'))\n", + "\n", + " # Create plots of cluster assignments\n", + " for years in [[2018, 2019], [2020]]:\n", + " if len(cluster_assignment.loc[cluster_assignment.index.year.isin(years)].dropna()) > 0:\n", + " n_rows = len(years) + 1\n", + " fig, ax = plt.subplots(n_rows, 1, figsize=(15, 5 * n_rows))\n", + " for i, year in enumerate(years):\n", + " # get relevant clusters\n", + " relevant_clusters = [cluster for cluster in cluster_assignment.loc[\n", + " cluster_assignment.index.year == year, 'cluster'].unique() if not np.isnan(cluster)]\n", + " relevant_clusters.sort()\n", + " # plot daily profiles\n", + " for j, n in enumerate(relevant_clusters):\n", + " if f'{str(n)}_avg_{year}' in export_clusters.columns:\n", + " ax[0].plot(range(24), export_clusters[f'{str(n)}_avg_{year}'],\n", + " color=colors[len(relevant_clusters)][j], label=n)\n", + " ax[0].fill_between(range(24), (export_clusters[f'{str(n)}_avg_{year}'] + \n", + " export_clusters[f'{str(n)}_std_{year}']),\n", + " (export_clusters[f'{str(n)}_avg_{year}'] - \n", + " export_clusters[f'{str(n)}_std_{year}']),\n", + " color=colors[len(relevant_clusters)][j], alpha=0.1)\n", + " ax[0].set_title('/'.join(map(str, years)))\n", + " ax[0].set_ylabel('Estimated building occupancy profile')\n", + " ax[0].legend(title='Cluster')\n", + " # plot calendar view\n", + " j = year % 2 + 1\n", + " july.heatmap(cluster_assignment.loc[cluster_assignment.index.year == year].index,\n", + " cluster_assignment.loc[cluster_assignment.index.year == year, 'cluster'],\n", + " cmap=\"tab10\", colorbar=True, ax=ax[j])\n", + " for holiday in [i[0] for i in sorted(holidays.SG(years=year).items())]:\n", + " ax[j].annotate('x', (holiday.isocalendar()[1] - 0.75, holiday.weekday() + 0.65))\n", + " # save plots if and only if there is something to plot\n", + " fig.savefig(os.path.join(\n", + " os.getcwd(), 'occupant_schedules', 'plots',\n", + " f'k_{str(n_clusters)}_pre_and_post', '_'.join([building, '_'.join(map(str, years))]) + '.pdf'))\n", + " plt.close()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": 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