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calculate_temp_knots and create_temp_matrix ported from R to Python
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1_temp_knots_and_mat.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 137,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"from sklearn.linear_model import LinearRegression\n",
"\n",
"# Set pandas and numpy options so we can log obs in full\n",
"pd.set_option('display.max_rows', None)\n",
"np.set_printoptions(threshold=np.inf)\n"
]
},
{
"cell_type": "code",
"execution_count": 138,
"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>Unnamed: 0</th>\n",
" <th>time</th>\n",
" <th>temp</th>\n",
" <th>HDD</th>\n",
" <th>CDD</th>\n",
" <th>eload</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>2012-03-01</td>\n",
" <td>38.417222</td>\n",
" <td>26.582778</td>\n",
" <td>0.0</td>\n",
" <td>21505.43952</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2</td>\n",
" <td>2012-03-02</td>\n",
" <td>39.858194</td>\n",
" <td>25.141806</td>\n",
" <td>0.0</td>\n",
" <td>20892.23953</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>3</td>\n",
" <td>2012-03-03</td>\n",
" <td>43.041944</td>\n",
" <td>21.958056</td>\n",
" <td>0.0</td>\n",
" <td>20434.55954</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>4</td>\n",
" <td>2012-03-04</td>\n",
" <td>49.656042</td>\n",
" <td>15.343958</td>\n",
" <td>0.0</td>\n",
" <td>15660.47965</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>5</td>\n",
" <td>2012-03-05</td>\n",
" <td>48.299514</td>\n",
" <td>16.700486</td>\n",
" <td>0.0</td>\n",
" <td>15863.51965</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Unnamed: 0 time temp HDD CDD eload\n",
"0 1 2012-03-01 38.417222 26.582778 0.0 21505.43952\n",
"1 2 2012-03-02 39.858194 25.141806 0.0 20892.23953\n",
"2 3 2012-03-03 43.041944 21.958056 0.0 20434.55954\n",
"3 4 2012-03-04 49.656042 15.343958 0.0 15660.47965\n",
"4 5 2012-03-05 48.299514 16.700486 0.0 15863.51965"
]
},
"execution_count": 138,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = pd.read_csv('./data/baseline_data.csv')\n",
"df['time'] = pd.to_datetime(df['time'], format='%Y-%m-%d')\n",
"\n",
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 139,
"metadata": {},
"outputs": [],
"source": [
"def calculate_temp_knots(training_data=None, model_input_options=None):\n",
" num_points = len(training_data['time'])\n",
"\n",
" if model_input_options['has_temp_knots_defined']:\n",
" temp_knots = model_input_options['temp_knots_value']\n",
" else:\n",
" temp0 = training_data['temp'].min()\n",
" temp1 = training_data['temp'].max()\n",
" delta_temp = temp1 - temp0\n",
"\n",
" if model_input_options['equal_temp_segment_points']:\n",
" temp_segment_width = num_points / model_input_options['temp_segments_numeric']\n",
" print(\"temp_segment_width\", temp_segment_width)\n",
" temp_points = np.floor(temp_segment_width * np.arange(1, model_input_options['temp_segments_numeric'] + 1) -1).astype(int)\n",
" # ensure the 0th item is 0, everything else decrease by 1\n",
" # temp_points[1:] -= 1\n",
" temp_ordered = np.sort(training_data['temp'])\n",
" # print(\"temp_ordered\", temp_ordered)\n",
" temp_knots = temp_ordered[temp_points]\n",
" else:\n",
" temp_segment_width = delta_temp / model_input_options['temp_segments_numeric']\n",
" temp_knots = np.floor(np.sort(temp1 - temp_segment_width * np.arange(model_input_options['temp_segments_numeric'] + 1)))\n",
"\n",
" ok_load = ~training_data['eload'].isna()\n",
"\n",
" print(\"temp_knots\", temp_knots)\n",
" num_temp_knots = len(temp_knots)\n",
"\n",
" check_knots = True\n",
" while check_knots:\n",
" # not enough data above upper knot; throw away that upper knot\n",
" if sum(training_data['temp'][ok_load] > temp_knots[num_temp_knots - 1]) < 20:\n",
" temp_knots = temp_knots[:-1]\n",
" num_temp_knots -= 1\n",
" if num_temp_knots == 1:\n",
" check_knots = False\n",
" else:\n",
" check_knots = False\n",
"\n",
" # Same principle as above, for aomount of data below the lowest knot.\n",
" check_knots = True\n",
" while check_knots:\n",
" # not enough data below lower knot; throw away that lower knot\n",
" if sum(training_data['temp'][ok_load] < temp_knots[0]) < 20:\n",
" temp_knots = temp_knots[1:]\n",
" num_temp_knots -= 1\n",
" if num_temp_knots == 1:\n",
" check_knots = False\n",
" else:\n",
" check_knots = False\n",
"\n",
" print(\"pruned knots\", temp_knots)\n",
"\n",
" return temp_knots\n"
]
},
{
"cell_type": "code",
"execution_count": 140,
"metadata": {},
"outputs": [],
"source": [
"def create_temp_matrix(training_data=None, model_input_options=None):\n",
" temp_col = training_data['temp']\n",
" temp_knots = model_input_options['temp_knots']\n",
"\n",
" temp_rows = len(temp_col)\n",
" # Adding a knot to make the loop below work out right\n",
" temp_knot_rows = len(temp_knots) + 1\n",
" # lower than lowest; in between; and higher than highest\n",
" temp_knots = np.concatenate((\n",
" np.array([-1000000]),\n",
" temp_knots,\n",
" np.array([1000000])\n",
" ))\n",
" print(\"temp_knots\", temp_knots)\n",
"\n",
" temp_matrix = np.zeros((temp_rows, temp_knot_rows))\n",
" for row_index in range(temp_knot_rows):\n",
" ok = (temp_col > temp_knots[row_index]) & (temp_col <= temp_knots[row_index + 1])\n",
" ok = ok.fillna(False)\n",
" if row_index == 0:\n",
" temp_matrix[ok, row_index] = temp_col[ok]\n",
" temp_matrix[~ok, row_index] = temp_knots[row_index + 1]\n",
" else:\n",
" temp_matrix[ok, row_index] = temp_col[ok] - temp_knots[row_index]\n",
" temp_matrix[temp_col > temp_knots[row_index + 1], row_index] = temp_knots[row_index + 1] - temp_knots[row_index]\n",
"\n",
" print(temp_matrix)\n"
]
},
{
"cell_type": "code",
"execution_count": 141,
"metadata": {},
"outputs": [],
"source": [
"# model_with_TOWT\n",
"def get_temp_knots_and_matrix(\n",
" training_data=None,\n",
" model_input_options=None):\n",
"\n",
" training_data = training_data.dropna(axis=1)\n",
"\n",
" calculated_temp_knots = calculate_temp_knots(training_data=training_data, model_input_options=model_input_options)\n",
" model_input_options['temp_knots'] = calculated_temp_knots\n",
" temp_mat = create_temp_matrix(training_data=training_data, model_input_options=model_input_options)\n"
]
},
{
"cell_type": "code",
"execution_count": 142,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"temp_segment_width 60.833333333333336\n",
"temp_knots [42.70444444 46.78333333 51.69125 57.86784722 63.41569444 77.90458333]\n",
"num_temp_knots 6\n",
"pruned knots [42.70444444 46.78333333 51.69125 57.86784722 63.41569444]\n",
"temp_knots [-1.00000000e+06 4.27044444e+01 4.67833333e+01 5.16912500e+01\n",
" 5.78678472e+01 6.34156944e+01 1.00000000e+06]\n",
"[[3.84172222e+01 0.00000000e+00 0.00000000e+00 0.00000000e+00\n",
" 0.00000000e+00 0.00000000e+00]\n",
" [3.98581944e+01 0.00000000e+00 0.00000000e+00 0.00000000e+00\n",
" 0.00000000e+00 0.00000000e+00]\n",
" [4.27044444e+01 3.37500000e-01 0.00000000e+00 0.00000000e+00\n",
" 0.00000000e+00 0.00000000e+00]\n",
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" 0.00000000e+00 0.00000000e+00]\n",
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" 0.00000000e+00 0.00000000e+00]\n",
" [3.85232639e+01 0.00000000e+00 0.00000000e+00 0.00000000e+00\n",
" 0.00000000e+00 0.00000000e+00]\n",
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" 0.00000000e+00 0.00000000e+00]\n",
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" 0.00000000e+00 0.00000000e+00]\n",
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" 0.00000000e+00 0.00000000e+00]\n",
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" 0.00000000e+00 0.00000000e+00]\n",
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" 0.00000000e+00 0.00000000e+00]\n",
" [4.15241667e+01 0.00000000e+00 0.00000000e+00 0.00000000e+00\n",
" 0.00000000e+00 0.00000000e+00]\n",
" [4.27044444e+01 1.51250000e+00 0.00000000e+00 0.00000000e+00\n",
" 0.00000000e+00 0.00000000e+00]\n",
" [4.27044444e+01 1.51597223e+00 0.00000000e+00 0.00000000e+00\n",
" 0.00000000e+00 0.00000000e+00]\n",
" [4.27044444e+01 1.80833334e+00 0.00000000e+00 0.00000000e+00\n",
" 0.00000000e+00 0.00000000e+00]\n",
" [4.27044444e+01 3.47777778e+00 0.00000000e+00 0.00000000e+00\n",
" 0.00000000e+00 0.00000000e+00]\n",
" [4.27044444e+01 2.32180556e+00 0.00000000e+00 0.00000000e+00\n",
" 0.00000000e+00 0.00000000e+00]\n",
" [4.27044444e+01 2.33680556e+00 0.00000000e+00 0.00000000e+00\n",
" 0.00000000e+00 0.00000000e+00]\n",
" [4.27044444e+01 3.10166667e+00 0.00000000e+00 0.00000000e+00\n",
" 0.00000000e+00 0.00000000e+00]]\n"
]
}
],
"source": [
"model_input_options = {\n",
" \"regression_type\": \"TOWT\",\n",
" \"chosen_model\": \"Daily\",\n",
" \"occupancy_threshold\": 0.65,\n",
" \"has_temp_knots_defined\": False,\n",
" \"equal_temp_segment_points\": True,\n",
" \"temp_segments_numeric\": 6\n",
"}\n",
"\n",
"get_temp_knots_and_matrix(df, model_input_options=model_input_options)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Comparing against R code found in the nmecr lib"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The equivalent R code using the same dataset prints the following temp_knots + pruned temp_knots\n",
"\n",
"```r\n",
"[1] \"temp_knots\"\n",
"[1] 42.70444 46.78333 51.69125 57.86785 63.41569 77.90458\n",
"[1] \"pruned knots\"\n",
"[1] 42.70444 46.78333 51.69125 57.86785 63.41569\n",
"```"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"When logging the temp_matrix in R using the same data is as follows\n",
"\n",
"```R\n",
"[1] \"temp_matrix\"\n",
" [,1] [,2] [,3] [,4] [,5] [,6]\n",
" [1,] 38.41722 0.00000000 0.0000000 0.0000000 0.00000000 0.00000000\n",
" [2,] 39.85819 0.00000000 0.0000000 0.0000000 0.00000000 0.00000000\n",
" [3,] 42.70444 0.33750000 0.0000000 0.0000000 0.00000000 0.00000000\n",
" [4,] 42.70444 4.07888889 2.8727083 0.0000000 0.00000000 0.00000000\n",
" [5,] 42.70444 4.07888889 1.5161806 0.0000000 0.00000000 0.00000000\n",
" [6,] 42.70444 0.52395834 0.0000000 0.0000000 0.00000000 0.00000000\n",
" [7,] 38.52326 0.00000000 0.0000000 0.0000000 0.00000000 0.00000000\n",
" [8,] 39.00625 0.00000000 0.0000000 0.0000000 0.00000000 0.00000000\n",
" [9,] 42.70444 4.07888889 0.0000000 0.0000000 0.00000000 0.00000000\n",
" [10,] 42.70444 3.25354167 0.0000000 0.0000000 0.00000000 0.00000000\n",
" [11,] 42.70444 2.37868056 0.0000000 0.0000000 0.00000000 0.00000000\n",
" [12,] 41.39993 0.00000000 0.0000000 0.0000000 0.00000000 0.00000000\n",
" [13,] 42.49597 0.00000000 0.0000000 0.0000000 0.00000000 0.00000000\n",
" [14,] 37.15090 0.00000000 0.0000000 0.0000000 0.00000000 0.00000000\n",
" [15,] 39.84597 0.00000000 0.0000000 0.0000000 0.00000000 0.00000000\n",
" [16,] 42.70444 3.68534723 0.0000000 0.0000000 0.00000000 0.00000000\n",
" [17,] 42.70444 2.07138889 0.0000000 0.0000000 0.00000000 0.00000000\n",
" [18,] 41.73181 0.00000000 0.0000000 0.0000000 0.00000000 0.00000000\n",
" [19,] 38.15097 0.00000000 0.0000000 0.0000000 0.00000000 0.00000000\n",
" [20,] 39.05965 0.00000000 0.0000000 0.0000000 0.00000000 0.00000000\n",
" [21,] 42.08035 0.00000000 0.0000000 0.0000000 0.00000000 0.00000000\n",
" [22,] 42.31368 0.00000000 0.0000000 0.0000000 0.00000000 0.00000000\n",
" [23,] 42.60187 0.00000000 0.0000000 0.0000000 0.00000000 0.00000000\n",
" [24,] 42.70444 1.74020834 0.0000000 0.0000000 0.00000000 0.00000000\n",
" [25,] 42.70444 4.07888889 0.2579167 0.0000000 0.00000000 0.00000000\n",
" [26,] 42.70444 4.07888889 1.0328472 0.0000000 0.00000000 0.00000000\n",
" [27,] 42.70444 4.07888889 1.7960417 0.0000000 0.00000000 0.00000000\n",
" [28,] 42.70444 4.07888889 4.2013889 0.0000000 0.00000000 0.00000000\n",
" [29,] 42.70444 4.07888889 1.9377083 0.0000000 0.00000000 0.00000000\n",
" [30,] 42.70444 3.49506945 0.0000000 0.0000000 0.00000000 0.00000000\n",
" [31,] 40.69181 0.00000000 0.0000000 0.0000000 0.00000000 0.00000000\n",
" [32,] 42.70444 0.22805556 0.0000000 0.0000000 0.00000000 0.00000000\n",
" [33,] 42.70444 2.18680556 0.0000000 0.0000000 0.00000000 0.00000000\n",
" [34,] 42.70444 4.07888889 4.9079167 0.1537500 0.00000000 0.00000000\n",
" [35,] 42.70444 2.50930556 0.0000000 0.0000000 0.00000000 0.00000000\n",
" [36,] 42.35875 0.00000000 0.0000000 0.0000000 0.00000000 0.00000000\n",
" [37,] 42.70444 0.85430556 0.0000000 0.0000000 0.00000000 0.00000000\n",
" [38,] 42.70444 3.07805556 0.0000000 0.0000000 0.00000000 0.00000000\n",
" [39,] 42.70444 4.07888889 3.1270833 0.0000000 0.00000000 0.00000000\n",
" [40,] 42.70444 4.07888889 4.9079167 4.3300000 0.00000000 0.00000000\n",
" [41,] 42.70444 4.07888889 4.9079167 5.1791667 0.00000000 0.00000000\n",
" [42,] 42.70444 4.07888889 4.9079167 4.4446528 0.00000000 0.00000000\n",
" [43,] 42.70444 4.07888889 3.5950695 0.0000000 0.00000000 0.00000000\n",
" [44,] 42.70444 2.20298612 0.0000000 0.0000000 0.00000000 0.00000000\n",
" [45,] 42.70444 4.07888889 2.4569445 0.0000000 0.00000000 0.00000000\n",
" [46,] 42.70444 4.07888889 3.1180556 0.0000000 0.00000000 0.00000000\n",
" [47,] 42.70444 4.07888889 4.9079167 1.2486806 0.00000000 0.00000000\n",
" [48,] 42.70444 4.07888889 3.6680556 0.0000000 0.00000000 0.00000000\n",
" [49,] 42.70444 3.21486112 0.0000000 0.0000000 0.00000000 0.00000000\n",
" [50,] 42.70444 4.07888889 2.9708333 0.0000000 0.00000000 0.00000000\n",
" [51,] 42.70444 4.07888889 3.3106944 0.0000000 0.00000000 0.00000000\n",
" [52,] 42.70444 4.07888889 2.9995833 0.0000000 0.00000000 0.00000000\n",
" [53,] 42.70444 4.07888889 4.9079167 2.0877083 0.00000000 0.00000000\n",
" [54,] 42.70444 4.07888889 4.9079167 6.1765972 1.92631945 0.00000000\n",
" [55,] 42.70444 4.07888889 4.9079167 6.1765972 1.83847222 0.00000000\n",
" [56,] 42.70444 4.07888889 4.9079167 2.5646528 0.00000000 0.00000000\n",
" [57,] 42.70444 4.07888889 4.9079167 3.6716667 0.00000000 0.00000000\n",
" [58,] 42.70444 4.07888889 3.3966667 0.0000000 0.00000000 0.00000000\n",
" [59,] 42.70444 4.07888889 2.5912500 0.0000000 0.00000000 0.00000000\n",
" [60,] 42.70444 4.07888889 4.9079167 2.9668750 0.00000000 0.00000000\n",
" [61,] 42.70444 4.07888889 4.9079167 2.7102778 0.00000000 0.00000000\n",
" [62,] 42.70444 4.07888889 3.3468056 0.0000000 0.00000000 0.00000000\n",
" [63,] 42.70444 4.07888889 1.1620833 0.0000000 0.00000000 0.00000000\n",
" [64,] 42.70444 4.07888889 3.2701389 0.0000000 0.00000000 0.00000000\n",
" [65,] 42.70444 4.07888889 1.5430556 0.0000000 0.00000000 0.00000000\n",
" [66,] 42.70444 4.07888889 1.6175000 0.0000000 0.00000000 0.00000000\n",
" [67,] 42.70444 4.07888889 2.1145833 0.0000000 0.00000000 0.00000000\n",
" [68,] 42.70444 4.07888889 4.9079167 1.0156944 0.00000000 0.00000000\n",
" [69,] 42.70444 4.07888889 4.9079167 6.1765972 1.40576389 0.00000000\n",
" [70,] 42.70444 4.07888889 4.9079167 4.0170833 0.00000000 0.00000000\n",
" [71,] 42.70444 4.07888889 2.2085417 0.0000000 0.00000000 0.00000000\n",
" [72,] 42.70444 4.07888889 2.5041667 0.0000000 0.00000000 0.00000000\n",
" [73,] 42.70444 4.07888889 4.9079167 1.7145139 0.00000000 0.00000000\n",
" [74,] 42.70444 4.07888889 4.9079167 6.1765972 2.39652778 0.00000000\n",
" [75,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 0.30652778\n",
" [76,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 3.19680556\n",
" [77,] 42.70444 4.07888889 4.9079167 6.1765972 3.80666667 0.00000000\n",
" [78,] 42.70444 4.07888889 4.9079167 6.1765972 1.38562500 0.00000000\n",
" [79,] 42.70444 4.07888889 4.9079167 1.1000694 0.00000000 0.00000000\n",
" [80,] 42.70444 4.07888889 4.8940278 0.0000000 0.00000000 0.00000000\n",
" [81,] 42.70444 4.07888889 4.9079167 5.4525000 0.00000000 0.00000000\n",
" [82,] 42.70444 4.07888889 4.9079167 4.8773611 0.00000000 0.00000000\n",
" [83,] 42.70444 4.07888889 4.9079167 5.0469444 0.00000000 0.00000000\n",
" [84,] 42.70444 4.07888889 4.9079167 0.5494444 0.00000000 0.00000000\n",
" [85,] 42.70444 4.07888889 4.9079167 0.7168056 0.00000000 0.00000000\n",
" [86,] 42.70444 4.07888889 4.9079167 2.4006250 0.00000000 0.00000000\n",
" [87,] 42.70444 4.07888889 4.9079167 6.1765972 0.96250000 0.00000000\n",
" [88,] 42.70444 4.07888889 4.9079167 6.1765972 2.55680556 0.00000000\n",
" [89,] 42.70444 4.07888889 4.9079167 5.3636111 0.00000000 0.00000000\n",
" [90,] 42.70444 4.07888889 4.9079167 4.6412500 0.00000000 0.00000000\n",
" [91,] 42.70444 4.07888889 4.9079167 3.3934722 0.00000000 0.00000000\n",
" [92,] 42.70444 4.07888889 4.9079167 6.1765972 0.60805556 0.00000000\n",
" [93,] 42.70444 4.07888889 4.9079167 6.1765972 1.95354167 0.00000000\n",
" [94,] 42.70444 4.07888889 4.9079167 6.1765972 3.95187500 0.00000000\n",
" [95,] 42.70444 4.07888889 4.9079167 6.1765972 0.11062500 0.00000000\n",
" [96,] 42.70444 4.07888889 4.9079167 3.4043750 0.00000000 0.00000000\n",
" [97,] 42.70444 4.07888889 4.9079167 0.7867361 0.00000000 0.00000000\n",
" [98,] 42.70444 4.07888889 4.4227083 0.0000000 0.00000000 0.00000000\n",
" [99,] 42.70444 4.07888889 4.9079167 1.6045833 0.00000000 0.00000000\n",
"[100,] 42.70444 4.07888889 4.9079167 1.7629861 0.00000000 0.00000000\n",
"[101,] 42.70444 4.07888889 4.9079167 0.7399306 0.00000000 0.00000000\n",
"[102,] 42.70444 4.07888889 4.9079167 2.8676389 0.00000000 0.00000000\n",
"[103,] 42.70444 4.07888889 4.9079167 5.4470833 0.00000000 0.00000000\n",
"[104,] 42.70444 4.07888889 4.9079167 6.1765972 5.24097222 0.00000000\n",
"[105,] 42.70444 4.07888889 4.9079167 6.1765972 1.98645834 0.00000000\n",
"[106,] 42.70444 4.07888889 4.9079167 3.6942361 0.00000000 0.00000000\n",
"[107,] 42.70444 4.07888889 4.9079167 3.2850000 0.00000000 0.00000000\n",
"[108,] 42.70444 4.07888889 4.9079167 6.1765972 4.12729167 0.00000000\n",
"[109,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 1.48541667\n",
"[110,] 42.70444 4.07888889 4.9079167 6.1765972 2.41465278 0.00000000\n",
"[111,] 42.70444 4.07888889 4.9079167 3.1188194 0.00000000 0.00000000\n",
"[112,] 42.70444 4.07888889 4.9079167 5.5837500 0.00000000 0.00000000\n",
"[113,] 42.70444 4.07888889 4.9079167 6.1765972 4.55965278 0.00000000\n",
"[114,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 0.47180556\n",
"[115,] 42.70444 4.07888889 4.9079167 3.8036806 0.00000000 0.00000000\n",
"[116,] 42.70444 4.07888889 4.9079167 4.4119444 0.00000000 0.00000000\n",
"[117,] 42.70444 4.07888889 4.9079167 6.1765972 0.16000000 0.00000000\n",
"[118,] 42.70444 4.07888889 4.9079167 6.1765972 0.40715278 0.00000000\n",
"[119,] 42.70444 4.07888889 4.9079167 4.4564583 0.00000000 0.00000000\n",
"[120,] 42.70444 4.07888889 4.9079167 6.1765972 2.85381945 0.00000000\n",
"[121,] 42.70444 4.07888889 4.9079167 6.1765972 5.36388889 0.00000000\n",
"[122,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 0.69958334\n",
"[123,] 42.70444 4.07888889 4.9079167 6.1765972 5.39694445 0.00000000\n",
"[124,] 42.70444 4.07888889 4.9079167 6.1765972 1.90944445 0.00000000\n",
"[125,] 42.70444 4.07888889 4.9079167 6.1765972 0.78541667 0.00000000\n",
"[126,] 42.70444 4.07888889 4.9079167 6.1765972 0.42312500 0.00000000\n",
"[127,] 42.70444 4.07888889 4.9079167 6.1765972 2.21965278 0.00000000\n",
"[128,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 0.27458334\n",
"[129,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 2.05513889\n",
"[130,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 3.12041667\n",
"[131,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 5.39659723\n",
"[132,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 2.11104167\n",
"[133,] 42.70444 4.07888889 4.9079167 6.1765972 4.57381945 0.00000000\n",
"[134,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 5.28541667\n",
"[135,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 4.18895834\n",
"[136,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 0.57756945\n",
"[137,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 4.27875000\n",
"[138,] 42.70444 4.07888889 4.9079167 6.1765972 3.48319445 0.00000000\n",
"[139,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 3.16756945\n",
"[140,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 2.92229167\n",
"[141,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 0.94743056\n",
"[142,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 4.40347223\n",
"[143,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 0.04215278\n",
"[144,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 2.97125000\n",
"[145,] 42.70444 4.07888889 4.9079167 6.1765972 2.37159722 0.00000000\n",
"[146,] 42.70444 4.07888889 4.9079167 6.1765972 2.05819445 0.00000000\n",
"[147,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 0.04083334\n",
"[148,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 4.08569445\n",
"[149,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 3.80368056\n",
"[150,] 42.70444 4.07888889 4.9079167 6.1765972 3.34562500 0.00000000\n",
"[151,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 0.34777778\n",
"[152,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 2.00673612\n",
"[153,] 42.70444 4.07888889 4.9079167 6.1765972 3.96527778 0.00000000\n",
"[154,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 0.46944445\n",
"[155,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 0.50229167\n",
"[156,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 0.49409723\n",
"[157,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 4.98423612\n",
"[158,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 12.36145834\n",
"[159,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 14.48888889\n",
"[160,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 5.89013889\n",
"[161,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 0.60472223\n",
"[162,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 2.46708334\n",
"[163,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 2.58729167\n",
"[164,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 3.73986112\n",
"[165,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 5.92895834\n",
"[166,] 42.70444 4.07888889 4.9079167 6.1765972 5.54784722 8.47715278\n",
" [ reached getOption(\"max.print\") -- omitted 199 rows ]\n",
" ```"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": ".venv",
"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": "3.9.13"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
Raw
2_baseline_data.csv
time temp HDD CDD eload
1 2012-03-01 38.41722222 26.58277778 0 21505.43952
2 2012-03-02 39.85819444 25.14180556 0 20892.23953
3 2012-03-03 43.04194444 21.95805556 0 20434.55954
4 2012-03-04 49.65604167 15.34395833 0 15660.47965
5 2012-03-05 48.29951389 16.70048611 0 15863.51965
6 2012-03-06 43.22840278 21.77159722 0 19323.11957
7 2012-03-07 38.52326389 26.47673611 0 19350.71957
8 2012-03-08 39.00625 25.99375 0 20061.59955
9 2012-03-09 46.78333333 18.21666667 0 18656.63958
10 2012-03-10 45.95798611 19.04201389 0 18613.19958
11 2012-03-11 45.083125 19.916875 0 16705.19963
12 2012-03-12 41.39993056 23.60006944 0 16589.27963
13 2012-03-13 42.49597222 22.50402778 0 20924.87953
14 2012-03-14 37.15090278 27.84909722 0 21089.51953
15 2012-03-15 39.84597222 25.15402778 0 20891.51953
16 2012-03-16 46.38979167 18.61020833 0 19774.07956
17 2012-03-17 44.77583333 20.22416667 0 19767.83956
18 2012-03-18 41.73180556 23.26819444 0 15852.95965
19 2012-03-19 38.15097222 26.84902778 0 16067.99964
20 2012-03-20 39.05965278 25.94034722 0 19965.35955
21 2012-03-21 42.08034722 22.91965278 0 20343.11955
22 2012-03-22 42.31368056 22.68631944 0 20098.55955
23 2012-03-23 42.601875 22.398125 0 18857.51958
24 2012-03-24 44.44465278 20.55534722 0 18203.51959
25 2012-03-25 47.04125 17.95875 0 13804.07969
26 2012-03-26 47.81618056 17.18381944 0 13191.59971
27 2012-03-27 48.579375 16.420625 0 17285.51961
28 2012-03-28 50.98472222 14.01527778 0 16492.31963
29 2012-03-29 48.72104167 16.27895833 0 17565.59961
30 2012-03-30 46.19951389 18.80048611 0 18283.91959
31 2012-03-31 40.69180556 24.30819444 0 18883.19958
32 2012-04-01 42.9325 22.0675 0 16152.95964
33 2012-04-02 44.89125 20.10875 0 16228.55964
34 2012-04-03 51.845 13.155 0 17346.47961
35 2012-04-04 45.21375 19.78625 0 17022.23962
36 2012-04-05 42.35875 22.64125 0 18049.6796
37 2012-04-06 43.55875 21.44125 0 18466.79959
38 2012-04-07 45.7825 19.2175 0 17970.4796
39 2012-04-08 49.91041667 15.08958333 0 13273.1997
40 2012-04-09 56.02125 8.97875 0 11213.27975
41 2012-04-10 56.87041667 8.12958333 0 13592.6397
42 2012-04-11 56.13590278 8.86409722 0 13613.2797
43 2012-04-12 50.37840278 14.62159722 0 15836.39965
44 2012-04-13 44.90743056 20.09256944 0 16415.99963
45 2012-04-14 49.24027778 15.75972222 0 16089.11964
46 2012-04-15 49.90138889 15.09861111 0 12036.47973
47 2012-04-16 52.93993056 12.06006944 0 11795.27974
48 2012-04-17 50.45138889 14.54861111 0 15569.51965
49 2012-04-18 45.91930556 19.08069444 0 17252.15961
50 2012-04-19 49.75416667 15.24583333 0 16737.83963
51 2012-04-20 50.09402778 14.90597222 0 17107.43962
52 2012-04-21 49.78291667 15.21708333 0 17145.11962
53 2012-04-22 53.77895833 11.22104167 0 12760.79971
54 2012-04-23 59.79416667 5.20583333 0 11030.87975
55 2012-04-24 59.70631944 5.29368056 0 13427.5197
56 2012-04-25 54.25590278 10.74409722 0 15343.67966
57 2012-04-26 55.36291667 9.63708333 0 16412.39963
58 2012-04-27 50.18 14.82 0 17086.55962
59 2012-04-28 49.37458333 15.62541667 0 17771.9996
60 2012-04-29 54.658125 10.341875 0 13269.1197
61 2012-04-30 54.40152778 10.59847222 0 13867.43969
62 2012-05-01 50.13013889 14.86986111 0 17821.6796
63 2012-05-02 47.94541667 17.05458333 0 18152.63959
64 2012-05-03 50.05347222 14.94652778 0 17765.9996
65 2012-05-04 48.32638889 16.67361111 0 17253.35961
66 2012-05-05 48.40083333 16.59916667 0 18130.79959
67 2012-05-06 48.89791667 16.10208333 0 14035.67969
68 2012-05-07 52.70694444 12.29305556 0 12487.19972
69 2012-05-08 59.27361111 5.72638889 0 14932.79967
70 2012-05-09 55.70833333 9.29166667 0 14586.47967
71 2012-05-10 48.991875 16.008125 0 16003.91964
72 2012-05-11 49.2875 15.7125 0 16048.79964
73 2012-05-12 53.40576389 11.59423611 0 15384.95966
74 2012-05-13 60.264375 4.735625 0 11154.47975
75 2012-05-14 63.72222222 1.27777778 0 9451.199789
76 2012-05-15 66.6125 0 1.6125 12339.59972
77 2012-05-16 61.67451389 3.32548611 0 12493.91972
78 2012-05-17 59.25347222 5.74652778 0 13327.6797
79 2012-05-18 52.79131944 12.20868056 0 14457.35968
80 2012-05-19 51.67736111 13.32263889 0 15638.39965
81 2012-05-20 57.14375 7.85625 0 12230.63973
82 2012-05-21 56.56861111 8.43138889 0 11636.87974
83 2012-05-22 56.73819444 8.26180556 0 15900.71964
84 2012-05-23 52.24069444 12.75930556 0 17308.31961
85 2012-05-24 52.40805556 12.59194444 0 17422.79961
86 2012-05-25 54.091875 10.908125 0 16873.67962
87 2012-05-26 58.83034722 6.16965278 0 15072.47966
88 2012-05-27 60.42465278 4.57534722 0 10474.55977
89 2012-05-28 57.05486111 7.94513889 0 10737.35976
90 2012-05-29 56.3325 8.6675 0 10951.43975
91 2012-05-30 55.08472222 9.91527778 0 14739.83967
92 2012-05-31 58.47590278 6.52409722 0 15141.35966
93 2012-06-01 59.82138889 5.17861111 0 15645.83965
94 2012-06-02 61.81972222 3.18027778 0 15467.99965
95 2012-06-03 57.97847222 7.02152778 0 12043.43973
96 2012-06-04 55.095625 9.904375 0 12784.31971
97 2012-06-05 52.47798611 12.52201389 0 16287.83964
98 2012-06-06 51.20604167 13.79395833 0 16784.87962
99 2012-06-07 53.29583333 11.70416667 0 16822.55962
100 2012-06-08 53.45423611 11.54576389 0 16271.75964
101 2012-06-09 52.43118056 12.56881944 0 16098.95964
102 2012-06-10 54.55888889 10.44111111 0 12625.19972
103 2012-06-11 57.13833333 7.86166667 0 11720.39974
104 2012-06-12 63.10881944 1.89118056 0 14288.63968
105 2012-06-13 59.85430556 5.14569444 0 14718.95967
106 2012-06-14 55.38548611 9.61451389 0 15911.27964
107 2012-06-15 54.97625 10.02375 0 15888.47964
108 2012-06-16 61.99513889 3.00486111 0 15085.67966
109 2012-06-17 64.90111111 0.0988888899999978 0 10778.63976
110 2012-06-18 60.2825 4.7175 0 12028.07973
111 2012-06-19 54.81006944 10.18993056 0 16487.99963
112 2012-06-20 57.275 7.725 0 16015.19964
113 2012-06-21 62.4275 2.5725 0 14053.67969
114 2012-06-22 63.8875 1.1125 0 13519.6797
115 2012-06-23 55.49493056 9.50506944 0 14879.03967
116 2012-06-24 56.10319444 8.89680556 0 12122.87973
117 2012-06-25 58.02784722 6.97215278 0 12381.35972
118 2012-06-26 58.275 6.725 0 14018.87969
119 2012-06-27 56.14770833 8.85229167 0 15030.47966
120 2012-06-28 60.72166667 4.27833333 0 15233.27966
121 2012-06-29 63.23173611 1.76826389 0 14247.11968
122 2012-06-30 64.11527778 0.88472222 0 14630.87967
123 2012-07-01 63.26479167 1.73520833 0 10579.91976
124 2012-07-02 59.77729167 5.22270833 0 10572.47976
125 2012-07-03 58.65326389 6.34673611 0 14634.95967
126 2012-07-04 58.29097222 6.70902778 0 14685.59967
127 2012-07-05 60.0875 4.9125 0 10878.23976
128 2012-07-06 63.69027778 1.30972222 0 12677.27972
129 2012-07-07 65.47083333 0 0.470833330000005 12900.47971
130 2012-07-08 66.53611111 0 1.53611110999999 9844.07978
131 2012-07-09 68.81229167 0 3.81229166999999 9194.399794
132 2012-07-10 65.52673611 0 0.526736110000002 12758.87971
133 2012-07-11 62.44166667 2.55833333 0 14013.35969
134 2012-07-12 68.70111111 0 3.70111111 13473.1197
135 2012-07-13 67.60465278 0 2.60465278 12950.15971
136 2012-07-14 63.99326389 1.00673611 0 13359.3597
137 2012-07-15 67.69444444 0 2.69444444 9790.559781
138 2012-07-16 61.35104167 3.64895833 0 10025.75978
139 2012-07-17 66.58326389 0 1.58326389 14252.39968
140 2012-07-18 66.33798611 0 1.33798611 13807.67969
141 2012-07-19 64.363125 0.636875000000003 0 14926.79967
142 2012-07-20 67.81916667 0 2.81916667 13934.15969
143 2012-07-21 63.45784722 1.54215278 0 12767.27972
144 2012-07-22 66.38694444 0 1.38694443999999 10517.99976
145 2012-07-23 60.23944444 4.76055556 0 10033.19978
146 2012-07-24 59.92604167 5.07395833 0 14977.91967
147 2012-07-25 63.45652778 1.54347222 0 14918.87967
148 2012-07-26 67.50138889 0 2.50138889 14465.03968
149 2012-07-27 67.219375 0 2.219375 13794.95969
150 2012-07-28 61.21347222 3.78652778 0 14477.03968
151 2012-07-29 63.76347222 1.23652778 0 10736.39976
152 2012-07-30 65.42243056 0 0.422430559999995 9636.239784
153 2012-07-31 61.833125 3.166875 0 13502.6397
154 2012-08-01 63.88513889 1.11486111 0 14421.35968
155 2012-08-02 63.91798611 1.08201389 0 14402.15968
156 2012-08-03 63.90979167 1.09020833 0 14221.91968
157 2012-08-04 68.39993056 0 3.39993056 14033.03969
158 2012-08-05 75.77715278 0 10.77715278 10585.43976
159 2012-08-06 77.90458333 0 12.90458333 10604.87976
160 2012-08-07 69.30583333 0 4.30583333 13044.95971
161 2012-08-08 64.02041667 0.979583329999997 0 13466.3997
162 2012-08-09 65.88277778 0 0.882777779999998 14885.03967
163 2012-08-10 66.00298611 0 1.00298610999999 14028.23969
164 2012-08-11 67.15555556 0 2.15555556 13725.11969
165 2012-08-12 69.34465278 0 4.34465278 10341.35977
166 2012-08-13 71.89284722 0 6.89284721999999 9316.319792
167 2012-08-14 71.58215278 0 6.58215278 12582.95972
168 2012-08-15 70.10416667 0 5.10416667 14141.75968
169 2012-08-16 73.98013889 0 8.98013889000001 14543.03968
170 2012-08-17 77.53631944 0 12.53631944 13970.63969
171 2012-08-18 74.79583333 0 9.79583332999999 13726.79969
172 2012-08-19 64.40784722 0.592152780000006 0 10384.07977
173 2012-08-20 65.02715278 0 0.0271527799999944 10010.63978
174 2012-08-21 67.74 0 2.74 13750.07969
175 2012-08-22 64.49583333 0.504166670000004 0 14309.75968
176 2012-08-23 63.98368056 1.01631944 0 15275.75966
177 2012-08-24 61.80208333 3.19791667 0 14871.83967
178 2012-08-25 60.92520833 4.07479167 0 14883.11967
179 2012-08-26 64.94284722 0.0571527799999956 0 11770.55974
180 2012-08-27 62.61173611 2.38826389 0 11267.27975
181 2012-08-28 65.64291667 0 0.642916670000005 14100.47968
182 2012-08-29 63.85833333 1.14166667 0 14194.55968
183 2012-08-30 63.81097222 1.18902778 0 14631.35967
184 2012-08-31 63.35131944 1.64868056 0 14294.87968
185 2012-09-01 62.2125 2.7875 0 13674.23969
186 2012-09-02 60.54465278 4.45534722 0 10494.95977
187 2012-09-03 61.62340278 3.37659722 0 9709.199783
188 2012-09-04 62.66131944 2.33868056 0 10260.95977
189 2012-09-05 64.00534722 0.994652779999996 0 13499.9997
190 2012-09-06 65.37756944 0 0.377569440000002 14088.71969
191 2012-09-07 68.475 0 3.47499999999999 14055.11969
192 2012-09-08 71.18423611 0 6.18423611 13505.2797
193 2012-09-09 66.891875 0 1.891875 10907.27976
194 2012-09-10 61.56173611 3.43826389 0 11977.19973
195 2012-09-11 58.57048611 6.42951389 0 15374.87966
196 2012-09-12 57.87076389 7.12923611 0 15405.35965
197 2012-09-13 59.32729167 5.67270833 0 15249.35966
198 2012-09-14 64.0375 0.962500000000006 0 14642.15967
199 2012-09-15 64.36666667 0.633333329999999 0 13512.2397
200 2012-09-16 61.9625 3.0375 0 10503.83977
201 2012-09-17 62.50833333 2.49166667 0 9931.199778
202 2012-09-18 65.52243056 0 0.522430560000004 13214.3997
203 2012-09-19 66.38819444 0 1.38819444000001 13727.27969
204 2012-09-20 60.57986111 4.42013889 0 13840.55969
205 2012-09-21 59.12993056 5.87006944 0 14669.99967
206 2012-09-22 59.17736111 5.82263889 0 15226.79966
207 2012-09-23 59.12819444 5.87180556 0 11763.35974
208 2012-09-24 58.04236111 6.95763889 0 10798.79976
209 2012-09-25 60.158125 4.841875 0 14614.79967
210 2012-09-26 59.02590278 5.97409722 0 14724.71967
211 2012-09-27 56.80944444 8.19055556 0 15429.83966
212 2012-09-28 59.90736111 5.09263889 0 15110.87966
213 2012-09-29 63.41569444 1.58430556 0 14669.75967
214 2012-09-30 60.36534722 4.63465278 0 11388.95975
215 2012-10-01 57.62083333 7.37916667 0 11830.31974
216 2012-10-02 60.86875 4.13125 0 14580.23967
217 2012-10-03 56.68979167 8.31020833 0 14837.51967
218 2012-10-04 55.23173611 9.76826389 0 15988.31964
219 2012-10-05 55.57895833 9.42104167 0 16031.75964
220 2012-10-06 56.16847222 8.83152778 0 14852.39967
221 2012-10-07 57.86784722 7.13215278 0 11639.99974
222 2012-10-08 57.14166667 7.85833333 0 10264.31977
223 2012-10-09 56.68333333 8.31666667 0 14288.15968
224 2012-10-10 53.16340278 11.83659722 0 16135.43964
225 2012-10-11 51.83131944 13.16868056 0 17555.03961
226 2012-10-12 51.27777778 13.72222222 0 17349.59961
227 2012-10-13 54.00229167 10.99770833 0 17951.5196
228 2012-10-14 58.43368056 6.56631944 0 14223.83968
229 2012-10-15 59.90868056 5.09131944 0 12152.39973
230 2012-10-16 59.05784722 5.94215278 0 15580.79965
231 2012-10-17 54.79416667 10.20583333 0 16370.15963
232 2012-10-18 50.81826389 14.18173611 0 16840.55962
233 2012-10-19 54.50055556 10.49944444 0 16203.83964
234 2012-10-20 54.950625 10.049375 0 16712.63963
235 2012-10-21 46.12090278 18.87909722 0 16703.99963
236 2012-10-22 45.20340278 19.79659722 0 17748.9596
237 2012-10-23 43.49986111 21.50013889 0 20656.07954
238 2012-10-24 46.90902778 18.09097222 0 20307.83955
239 2012-10-25 46.63125 18.36875 0 19420.79957
240 2012-10-26 47.36145833 17.63854167 0 18702.47958
241 2012-10-27 48.39263889 16.60736111 0 18593.99958
242 2012-10-28 52.01736111 12.98263889 0 15995.27964
243 2012-10-29 55.52604167 9.47395833 0 13673.51969
244 2012-10-30 57.43145833 7.56854167 0 16707.11963
245 2012-10-31 56.86347222 8.13652778 0 15992.63964
246 2012-11-01 56.55979167 8.44020833 0 15471.35965
247 2012-11-02 54.68986111 10.31013889 0 16591.91963
248 2012-11-03 54.6425 10.3575 0 16537.19963
249 2012-11-04 56.35076389 8.64923611 0 13919.75969
250 2012-11-05 59.09791667 5.90208333 0 12093.35973
251 2012-11-06 53.66659722 11.33340278 0 16065.83964
252 2012-11-07 51.29513889 13.70486111 0 17906.8796
253 2012-11-08 48.78145833 16.21854167 0 18779.51958
254 2012-11-09 42.49305556 22.50694444 0 19842.23956
255 2012-11-10 40.28402778 24.71597222 0 19487.51956
256 2012-11-11 36.64423611 28.35576389 0 17438.39961
257 2012-11-12 40.96965278 24.03034722 0 17792.8796
258 2012-11-13 48.74472222 16.25527778 0 19587.11956
259 2012-11-14 49.17395833 15.82604167 0 19193.27957
260 2012-11-15 48.371875 16.628125 0 19051.43957
261 2012-11-16 42.91576389 22.08423611 0 19313.03957
262 2012-11-17 43.05645833 21.94354167 0 19709.75956
263 2012-11-18 47.23125 17.76875 0 17241.11961
264 2012-11-19 47.048125 17.951875 0 17721.8396
265 2012-11-20 51.69125 13.30875 0 19577.27956
266 2012-11-21 47.32152778 17.67847222 0 19517.75956
267 2012-11-22 44.79958333 20.20041667 0 21668.87952
268 2012-11-23 42.32895833 22.67104167 0 18234.95959
269 2012-11-24 47.04784722 17.95215278 0 18826.79958
270 2012-11-25 46.02458333 18.97541667 0 16831.67962
271 2012-11-26 41.55868056 23.44131944 0 16695.59963
272 2012-11-27 40.81763889 24.18236111 0 20435.51954
273 2012-11-28 41.41479167 23.58520833 0 20010.47955
274 2012-11-29 43.57458333 21.42541667 0 19851.83956
275 2012-11-30 49.78861111 15.21138889 0 17704.3196
276 2012-12-01 50.506875 14.493125 0 17579.51961
277 2012-12-02 50.55743056 14.44256944 0 17188.79962
278 2012-12-03 47.12083333 17.87916667 0 17402.87961
279 2012-12-04 48.04270833 16.95729167 0 20073.83955
280 2012-12-05 49.96243056 15.03756944 0 20168.87955
281 2012-12-06 45.43243056 19.56756944 0 21156.95953
282 2012-12-07 44.56951389 20.43048611 0 21545.75952
283 2012-12-08 43.99548611 21.00451389 0 21092.87953
284 2012-12-09 40.92909722 24.07090278 0 19056.23957
285 2012-12-10 41.52381944 23.47618056 0 18360.71959
286 2012-12-11 44.7075 20.2925 0 20324.63955
287 2012-12-12 44.77027778 20.22972222 0 21157.67953
288 2012-12-13 43.33034722 21.66965278 0 21977.99951
289 2012-12-14 42.10243056 22.89756944 0 20739.83954
290 2012-12-15 40.34701389 24.65298611 0 21102.23953
291 2012-12-16 38.10152778 26.89847222 0 19776.71956
292 2012-12-17 41.589375 23.410625 0 19598.15956
293 2012-12-18 42.37777778 22.62222222 0 21725.75951
294 2012-12-19 37.27020833 27.72979167 0 22984.55949
295 2012-12-20 40.92368056 24.07631944 0 22622.87949
296 2012-12-21 41.41388889 23.58611111 0 21692.87951
297 2012-12-22 38.20548611 26.79451389 0 20213.51955
298 2012-12-23 43.3375 21.6625 0 18043.4396
299 2012-12-24 42.65020833 22.34979167 0 17754.2396
300 2012-12-25 41.63104167 23.36895833 0 19189.43957
301 2012-12-26 41.18173611 23.81826389 0 18375.59959
302 2012-12-27 43.50520833 21.49479167 0 20032.07955
303 2012-12-28 43.78673611 21.21326389 0 20135.27955
304 2012-12-29 43.46145833 21.53854167 0 18759.11958
305 2012-12-30 40.98201389 24.01798611 0 17931.8396
306 2012-12-31 37.66208333 27.33791667 0 18359.99959
307 2013-01-01 36.11361111 28.88638889 0 21068.15953
308 2013-01-02 35.14465278 29.85534722 0 19141.91957
309 2013-01-03 36.20118056 28.79881944 0 20257.91955
310 2013-01-04 36.92138889 28.07861111 0 20968.55953
311 2013-01-05 45.10847222 19.89152778 0 19457.27957
312 2013-01-06 43.68979167 21.31020833 0 17459.75961
313 2013-01-07 43.98604167 21.01395833 0 18069.1196
314 2013-01-08 48.28701389 16.71298611 0 18964.31958
315 2013-01-09 48.90277778 16.09722222 0 18029.5196
316 2013-01-10 42.71097222 22.28902778 0 21563.03952
317 2013-01-11 37.65659722 27.34340278 0 22513.4395
318 2013-01-12 32.23284722 32.76715278 0 22504.5595
319 2013-01-13 31.22236111 33.77763889 0 20728.31954
320 2013-01-14 30.34513889 34.65486111 0 20715.83954
321 2013-01-15 34.76756944 30.23243056 0 22788.23949
322 2013-01-16 38.42361111 26.57638889 0 21395.99952
323 2013-01-17 35.55402778 29.44597222 0 21665.75952
324 2013-01-18 33.94305556 31.05694444 0 22335.3595
325 2013-01-19 35.75902778 29.24097222 0 22306.7995
326 2013-01-20 34.948125 30.051875 0 20768.63954
327 2013-01-21 35.62243056 29.37756944 0 19705.43956
328 2013-01-22 34.94305556 30.05694444 0 21237.35953
329 2013-01-23 35.98229167 29.01770833 0 22019.99951
330 2013-01-24 43.00638889 21.99361111 0 20865.35953
331 2013-01-25 43.09305556 21.90694444 0 20632.55954
332 2013-01-26 46.74555556 18.25444444 0 19029.11958
333 2013-01-27 44.12597222 20.87402778 0 18625.43958
334 2013-01-28 42.96055556 22.03944444 0 19113.35957
335 2013-01-29 42.70444444 22.29555556 0 21435.83952
336 2013-01-30 46.49638889 18.50361111 0 20215.19955
337 2013-01-31 48.39576389 16.60423611 0 19432.79957
338 2013-02-01 49.08597222 15.91402778 0 19627.43956
339 2013-02-02 47.74555556 17.25444444 0 19438.55957
340 2013-02-03 41.99277778 23.00722222 0 18227.03959
341 2013-02-04 44.58 20.42 0 17468.15961
342 2013-02-05 48.10076389 16.89923611 0 19713.11956
343 2013-02-06 47.79868056 17.20131944 0 20137.67955
344 2013-02-07 47.30118056 17.69881944 0 21023.75953
345 2013-02-08 45.61756944 19.38243056 0 20676.71954
346 2013-02-09 43.31277778 21.68722222 0 20723.99954
347 2013-02-10 44.25090278 20.74909722 0 18268.31959
348 2013-02-11 43.17833333 21.82166667 0 17005.43962
349 2013-02-12 45.39791667 19.60208333 0 20004.47955
350 2013-02-13 48.88944444 16.11055556 0 20235.35955
351 2013-02-14 48.15208333 16.84791667 0 20011.19955
352 2013-02-15 47.58715278 17.41284722 0 20072.15955
353 2013-02-16 46.91215278 18.08784722 0 18617.03958
354 2013-02-17 46.89298611 18.10701389 0 17295.35961
355 2013-02-18 44.09090278 20.90909722 0 18335.51959
356 2013-02-19 43.87104167 21.12895833 0 19394.87957
357 2013-02-20 44.53909722 20.46090278 0 19455.35957
358 2013-02-21 41.52416667 23.47583333 0 20719.19954
359 2013-02-22 44.21694444 20.78305556 0 21517.43952
360 2013-02-23 44.22041667 20.77958333 0 21854.63951
361 2013-02-24 44.51277778 20.48722222 0 18892.07958
362 2013-02-25 46.18222222 18.81777778 0 18623.27958
363 2013-02-26 45.02625 19.97375 0 21056.15953
364 2013-02-27 45.04125 19.95875 0 21425.03952
365 2013-02-28 45.80611111 19.19388889 0 20683.43954
Raw
3_full_output_python_temp_matrix
[[3.84172222e+01 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]
[3.98581944e+01 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]
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