Add model inferene example on the forecasting pipeline v2 (#1745)

* Add model inferene example on the forecasting pipeline v2

* change format

* add image version

* add image version

Co-authored-by: Yuan Zhuang <yuzhua@microsoft.com>

cli/jobs/pipelines/automl/forecasting-energy-demand-pipeline/components/component_infer.yaml

@@ -0,0 +1,27 @@
+$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
+name: model_inference
+display_name: Model Inference
+version: 1
+type: command
+inputs:
+  ouput_dataset_name:
+    type: string
+  model_path:
+    type: mlflow_model
+  target_column_name:
+    type: string
+  test_data:
+    type: uri_folder
+outputs:
+  output_path:
+    type: uri_folder
+code: ./infer_src/
+# The environment needs to be the same as the one in the AutoML training part.
+environment: azureml:AzureML-AutoML:129
+command: >-
+  python infer.py
+  --model_path ${{inputs.model_path}}
+  --ouput_dataset_name ${{inputs.ouput_dataset_name}}
+  --target_column_name ${{inputs.target_column_name}}
+  --test_data ${{inputs.test_data}}
+  --output_path ${{outputs.output_path}}

cli/jobs/pipelines/automl/forecasting-energy-demand-pipeline/components/infer_src/infer.py

@@ -0,0 +1,145 @@
+import argparse
+from datetime import datetime
+import os
+import uuid
+import numpy as np
+import pandas as pd
+
+from pandas.tseries.frequencies import to_offset
+from sklearn.externals import joblib
+from sklearn.metrics import mean_absolute_error, mean_squared_error
+
+from azureml.data.dataset_factory import TabularDatasetFactory
+from azureml.automl.runtime.shared.score import scoring, constants as metrics_constants
+import azureml.automl.core.shared.constants as constants
+from azureml.core import Run, Dataset, Model
+
+try:
+    import torch
+
+    _torch_present = True
+except ImportError:
+    _torch_present = False
+
+
+def infer_forecasting_dataset(
+    X_test, y_test, model, output_dataset, output_dataset_name="results"
+):
+
+    y_pred, df_all = model.forecast(X_test, y_test, ignore_data_errors=True)
+    df_all.reset_index(inplace=True, drop=False)
+    df_all.to_csv(
+        os.path.join(output_dataset, output_dataset_name + ".csv"), index=False
+    )
+
+
+def map_location_cuda(storage, loc):
+    return storage.cuda()
+
+
+def get_model(model_path, model_file_name):
+    # _, ext = os.path.splitext(model_path)
+    model_full_path = os.path.join(model_path, model_file_name)
+    print(model_full_path)
+    if model_file_name.endswith("pt"):
+        # Load the fc-tcn torch model.
+        assert _torch_present, "Loading DNN models needs torch to be presented."
+        if torch.cuda.is_available():
+            map_location = map_location_cuda
+        else:
+            map_location = "cpu"
+        with open(model_full_path, "rb") as fh:
+            fitted_model = torch.load(fh, map_location=map_location)
+    else:
+        # Load the sklearn pipeline.
+        fitted_model = joblib.load(model_full_path)
+    return fitted_model
+
+
+def get_args():
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--model_path", type=str, dest="model_path", help="Model to be loaded"
+    )
+
+    parser.add_argument(
+        "--ouput_dataset_name",
+        type=str,
+        dest="ouput_dataset_name",
+        default="results",
+        help="Dataset name of the final output",
+    )
+    parser.add_argument(
+        "--target_column_name",
+        type=str,
+        dest="target_column_name",
+        help="The target column name.",
+    )
+    parser.add_argument(
+        "--test_data",
+        type=str,
+        dest="test_data",
+        default="results",
+        help="The test dataset path",
+    )
+    parser.add_argument(
+        "--output_path",
+        type=str,
+        dest="output_path",
+        default="results",
+        help="The output path",
+    )
+    args = parser.parse_args()
+    return args
+
+
+def get_data(target_column_name, test_dataset):
+
+    dfs = []
+    for fle in filter(lambda x: x.endswith(".csv"), os.listdir(test_dataset)):
+        dfs.append(pd.read_csv(os.path.join(test_dataset, fle)))
+
+    if not dfs:
+        raise ValueError("The data set can not be found.")
+    test_df = pd.concat(dfs, sort=False, ignore_index=True)
+    if target_column_name in test_df:
+        y_test = test_df.pop(target_column_name).values
+    else:
+        y_test = np.full(test_df.shape[0], np.nan)
+
+    return test_df, y_test
+
+
+def get_model_filename(model_path):
+    for filename in os.listdir(model_path):
+        if filename == "model.pkl":
+            return filename
+        elif filename == "model.pt":
+            return filename
+    return None
+
+
+if __name__ == "__main__":
+    run = Run.get_context()
+
+    args = get_args()
+    model_path = args.model_path
+    ouput_dataset_name = args.ouput_dataset_name
+    test_data = args.test_data
+    target_column_name = args.target_column_name
+    print("args passed are: ")
+
+    print(model_path)
+    print(test_data)
+    print(ouput_dataset_name)
+    print(target_column_name)
+
+    model_file_name = get_model_filename(model_path)
+    print(model_file_name)
+    fitted_model = get_model(model_path, model_file_name)
+
+    X_test_df, y_test = get_data(target_column_name, test_data)
+
+    infer_forecasting_dataset(
+        X_test_df, y_test, fitted_model, args.output_path, ouput_dataset_name
+    )

cli/jobs/pipelines/automl/forecasting-energy-demand-pipeline/pipeline.yml

@@ -17,6 +17,10 @@ inputs:
     type: mltable
     path: validation-mltable-folder
 
+outputs: 
+  inference_output:
+    mode: upload
+
 jobs:
   forecasting_node:
     type: automl
@@ -48,4 +52,17 @@ jobs:
     inputs:
       model_input_path: ${{parent.jobs.forecasting_node.outputs.best_model}}
       model_base_name: energy_demand_model
+  # This is an optional step for data inference.
+  infer_model_node:
+    type: command
+    component: file:./components/component_infer.yaml
+    inputs:
+      test_data: 
+        type: uri_folder
+        path: ./test-data/
+      model_path: ${{parent.jobs.forecasting_node.outputs.best_model}}
+      ouput_dataset_name: energy_demand_infer
+      target_column_name: demand
+    outputs:
+      output_path: ${{parent.outputs.inference_output}}
       

cli/jobs/pipelines/automl/forecasting-energy-demand-pipeline/validation-mltable-folder/nyc_energy_validation_clean.csv

@@ -2156,720 +2156,3 @@ timeStamp,demand,precip,temp
 2017-03-31 21:00:00,5912.775,0.0353,39.8
 2017-03-31 22:00:00,5662.15,0.006,38.78
 2017-03-31 23:00:00,5309.208,0.002,38.79
-2017-04-01 00:00:00,4939.208,0.0,38.97
-2017-04-01 01:00:00,4701.6,0.0,37.46
-2017-04-01 02:00:00,4543.967,0.0,37.9
-2017-04-01 03:00:00,4444.892,0.0,37.96
-2017-04-01 04:00:00,4405.083,0.0,37.34
-2017-04-01 05:00:00,4448.675,0.0,37.52
-2017-04-01 06:00:00,4604.375,0.0,37.37
-2017-04-01 07:00:00,4849.483,0.0,37.19
-2017-04-01 08:00:00,5151.517,0.0,36.69
-2017-04-01 09:00:00,5413.308,0.0,37.65
-2017-04-01 10:00:00,5576.975,0.0,39.58
-2017-04-01 11:00:00,5631.35,0.0,40.15
-2017-04-01 12:00:00,5657.683,0.0,41.68
-2017-04-01 13:00:00,5610.242,0.0,44.36
-2017-04-01 14:00:00,5567.325,0.0,43.67
-2017-04-01 15:00:00,5523.908,0.0,46.12
-2017-04-01 16:00:00,5473.933,0.0,45.54
-2017-04-01 17:00:00,5467.0,0.0,46.63
-2017-04-01 18:00:00,5478.633,0.0,46.11
-2017-04-01 19:00:00,5547.2,0.0,45.41
-2017-04-01 20:00:00,5587.542,0.0,44.77
-2017-04-01 21:00:00,5487.125,0.0,43.47
-2017-04-01 22:00:00,5294.958,0.0,44.46
-2017-04-01 23:00:00,5051.942,0.0,44.26
-2017-04-02 00:00:00,4755.275,0.0,42.62
-2017-04-02 01:00:00,4526.217,0.0,43.59
-2017-04-02 02:00:00,4364.408,0.0,43.52
-2017-04-02 03:00:00,4273.467,0.0,42.48
-2017-04-02 04:00:00,4236.825,0.0,39.89
-2017-04-02 05:00:00,4263.533,0.0,41.21
-2017-04-02 06:00:00,4373.767,0.0,40.49
-2017-04-02 07:00:00,4504.783,0.0,40.63
-2017-04-02 08:00:00,4708.058,0.0,40.14
-2017-04-02 09:00:00,4915.575,0.0,41.84
-2017-04-02 10:00:00,5075.442,0.0,45.02
-2017-04-02 11:00:00,5171.242,0.0,50.72
-2017-04-02 12:00:00,5176.575,0.0,54.49
-2017-04-02 13:00:00,5157.258,0.0,54.9
-2017-04-02 14:00:00,5117.425,0.0,57.94
-2017-04-02 15:00:00,5106.55,0.0,61.21
-2017-04-02 16:00:00,5104.367,0.0,61.29
-2017-04-02 17:00:00,5145.092,0.0,62.33
-2017-04-02 18:00:00,5178.983,0.0,60.64
-2017-04-02 19:00:00,5322.133,0.0,56.97
-2017-04-02 20:00:00,5465.283,0.0,56.63
-2017-04-02 21:00:00,5355.083,0.0,56.8
-2017-04-02 22:00:00,5116.458,0.0,51.06
-2017-04-02 23:00:00,4801.375,0.0,49.1
-2017-04-03 00:00:00,4489.075,0.0,52.72
-2017-04-03 01:00:00,4281.383,0.0,51.26
-2017-04-03 02:00:00,4149.492,0.0,50.14
-2017-04-03 03:00:00,4096.525,0.0,48.28
-2017-04-03 04:00:00,4138.55,0.0,47.97
-2017-04-03 05:00:00,4376.033,0.0,43.47
-2017-04-03 06:00:00,4868.967,0.0,46.57
-2017-04-03 07:00:00,5391.225,0.0,45.66
-2017-04-03 08:00:00,5744.0,0.0,43.87
-2017-04-03 09:00:00,5961.375,0.0,51.87
-2017-04-03 10:00:00,6007.808,0.0,53.98
-2017-04-03 11:00:00,6029.092,0.0,56.3
-2017-04-03 12:00:00,6022.575,0.0,61.68
-2017-04-03 13:00:00,6018.8,0.0,61.27
-2017-04-03 14:00:00,5985.95,0.0,61.71
-2017-04-03 15:00:00,5972.083,0.0,61.44
-2017-04-03 16:00:00,5987.833,0.0,59.54
-2017-04-03 17:00:00,5982.792,0.0,58.74
-2017-04-03 18:00:00,5932.108,0.0,55.61
-2017-04-03 19:00:00,5951.267,0.0,52.59
-2017-04-03 20:00:00,5912.167,0.0,53.29
-2017-04-03 21:00:00,5688.892,0.0,50.94
-2017-04-03 22:00:00,5320.35,0.005,51.21
-2017-04-03 23:00:00,4906.658,0.007,51.49
-2017-04-04 00:00:00,4524.858,0.035,51.64
-2017-04-04 01:00:00,4298.258,0.0536,49.42
-2017-04-04 02:00:00,4166.867,0.3155,49.01
-2017-04-04 03:00:00,4128.975,0.1263,49.54
-2017-04-04 04:00:00,4138.858,0.0243,49.94
-2017-04-04 05:00:00,4349.117,0.0,50.79
-2017-04-04 06:00:00,4870.958,0.0,51.23
-2017-04-04 07:00:00,5430.142,0.0,50.8
-2017-04-04 08:00:00,5800.633,0.0,49.73
-2017-04-04 09:00:00,6067.517,0.0,50.32
-2017-04-04 10:00:00,6160.808,0.0,48.7
-2017-04-04 11:00:00,6210.742,0.0,48.12
-2017-04-04 12:00:00,6201.6,0.0,47.45
-2017-04-04 13:00:00,6223.625,0.0,50.46
-2017-04-04 14:00:00,6198.675,0.0,51.0
-2017-04-04 15:00:00,6206.608,0.0283,47.87
-2017-04-04 16:00:00,6177.367,0.0,49.31
-2017-04-04 17:00:00,6153.975,0.0,51.13
-2017-04-04 18:00:00,6052.417,0.0,48.56
-2017-04-04 19:00:00,6036.325,0.0,50.18
-2017-04-04 20:00:00,5947.683,0.003,48.43
-2017-04-04 21:00:00,5726.327,0.0,48.06
-2017-04-04 22:00:00,5382.133,0.0,47.5
-2017-04-04 23:00:00,4939.55,0.0,47.04
-2017-04-05 00:00:00,4554.658,0.0,46.8
-2017-04-05 01:00:00,4305.517,0.0,45.96
-2017-04-05 02:00:00,4166.95,0.0,45.96
-2017-04-05 03:00:00,4102.433,0.0,46.02
-2017-04-05 04:00:00,4128.008,0.0,46.03
-2017-04-05 05:00:00,4354.408,0.0,45.81
-2017-04-05 06:00:00,4882.367,0.0,45.06
-2017-04-05 07:00:00,5449.55,0.0,45.64
-2017-04-05 08:00:00,5791.033,0.0,46.78
-2017-04-05 09:00:00,6012.258,0.0,47.67
-2017-04-05 10:00:00,6087.058,0.0,49.41
-2017-04-05 11:00:00,6122.292,0.0,51.92
-2017-04-05 12:00:00,6114.667,0.0,54.56
-2017-04-05 13:00:00,6057.733,0.0,54.37
-2017-04-05 14:00:00,6005.467,0.0,56.59
-2017-04-05 15:00:00,5998.917,0.0,58.52
-2017-04-05 16:00:00,6041.492,0.0,61.77
-2017-04-05 17:00:00,6028.833,0.0,62.12
-2017-04-05 18:00:00,5894.117,0.0,58.96
-2017-04-05 19:00:00,5893.733,0.0,55.24
-2017-04-05 20:00:00,5890.233,0.0,54.12
-2017-04-05 21:00:00,5696.9,0.0,49.77
-2017-04-05 22:00:00,5356.325,0.0,47.51
-2017-04-05 23:00:00,4960.075,0.0,46.75
-2017-04-06 00:00:00,4566.517,0.0,47.13
-2017-04-06 01:00:00,4321.417,0.0,45.85
-2017-04-06 02:00:00,4167.167,0.0,44.7
-2017-04-06 03:00:00,4104.442,0.0,45.27
-2017-04-06 04:00:00,4129.283,0.0057,44.62
-2017-04-06 05:00:00,4352.367,0.0073,44.19
-2017-04-06 06:00:00,4909.633,0.0,43.79
-2017-04-06 07:00:00,5487.258,0.0083,42.66
-2017-04-06 08:00:00,5897.683,0.0,41.73
-2017-04-06 09:00:00,6166.275,0.0,40.59
-2017-04-06 10:00:00,6328.592,0.0,40.69
-2017-04-06 11:00:00,6382.417,0.0,41.47
-2017-04-06 12:00:00,6442.042,0.0,41.72
-2017-04-06 13:00:00,6425.992,0.0,42.07
-2017-04-06 14:00:00,6338.8,0.0,42.37
-2017-04-06 15:00:00,6361.125,0.1427,42.2
-2017-04-06 16:00:00,6459.067,0.4675,42.65
-2017-04-06 17:00:00,6395.308,0.0035,43.33
-2017-04-06 18:00:00,6116.342,0.0,45.24
-2017-04-06 19:00:00,6043.025,0.0,47.05
-2017-04-06 20:00:00,6006.167,0.0,49.36
-2017-04-06 21:00:00,5791.35,0.0,49.36
-2017-04-06 22:00:00,5471.025,0.0,49.99
-2017-04-06 23:00:00,5026.808,0.0,49.94
-2017-04-07 00:00:00,4656.758,0.0,49.17
-2017-04-07 01:00:00,4388.133,0.0,49.18
-2017-04-07 02:00:00,4218.925,0.0,49.8
-2017-04-07 03:00:00,4157.2,0.0,49.39
-2017-04-07 04:00:00,4160.683,0.0,48.18
-2017-04-07 05:00:00,4397.475,0.0,46.16
-2017-04-07 06:00:00,4895.433,0.0,45.88
-2017-04-07 07:00:00,5436.917,0.0,44.56
-2017-04-07 08:00:00,5838.242,0.0,45.29
-2017-04-07 09:00:00,6097.258,0.0,45.51
-2017-04-07 10:00:00,6197.908,0.0,43.65
-2017-04-07 11:00:00,6220.517,0.0,44.55
-2017-04-07 12:00:00,6215.283,0.0033,45.49
-2017-04-07 13:00:00,6173.817,0.0,45.24
-2017-04-07 14:00:00,6125.092,0.0,46.09
-2017-04-07 15:00:00,6151.533,0.0,47.59
-2017-04-07 16:00:00,6163.55,0.0,47.59
-2017-04-07 17:00:00,6147.2,0.0,47.04
-2017-04-07 18:00:00,6018.292,0.0,46.65
-2017-04-07 19:00:00,5974.975,0.0,44.93
-2017-04-07 20:00:00,5904.725,0.0,42.56
-2017-04-07 21:00:00,5736.342,0.0,41.64
-2017-04-07 22:00:00,5480.917,0.0,41.21
-2017-04-07 23:00:00,5134.8,0.0,39.76
-2017-04-08 00:00:00,4785.95,0.0,40.39
-2017-04-08 01:00:00,4542.15,0.0,39.99
-2017-04-08 02:00:00,4382.675,0.0,39.21
-2017-04-08 03:00:00,4287.892,0.0,38.98
-2017-04-08 04:00:00,4249.717,0.0,39.35
-2017-04-08 05:00:00,4300.908,0.0,36.77
-2017-04-08 06:00:00,4460.308,0.0,40.77
-2017-04-08 07:00:00,4667.05,0.0,39.11
-2017-04-08 08:00:00,4929.183,0.0,39.55
-2017-04-08 09:00:00,5139.692,0.0,41.82
-2017-04-08 10:00:00,5281.175,0.0,43.87
-2017-04-08 11:00:00,5347.0,0.0,46.08
-2017-04-08 12:00:00,5345.667,0.0,48.98
-2017-04-08 13:00:00,5305.875,0.0,50.69
-2017-04-08 14:00:00,5229.042,0.0,53.01
-2017-04-08 15:00:00,5188.308,0.0,54.26
-2017-04-08 16:00:00,5155.158,0.0,55.91
-2017-04-08 17:00:00,5158.883,0.0,56.11
-2017-04-08 18:00:00,5182.908,0.0,55.59
-2017-04-08 19:00:00,5266.708,0.0,53.8
-2017-04-08 20:00:00,5366.225,0.0,52.19
-2017-04-08 21:00:00,5287.608,0.0,49.7
-2017-04-08 22:00:00,5126.208,0.0,49.5
-2017-04-08 23:00:00,4863.75,0.0,48.32
-2017-04-09 00:00:00,4601.2,0.0,46.82
-2017-04-09 01:00:00,4374.558,0.0,44.92
-2017-04-09 02:00:00,4217.183,0.0,42.46
-2017-04-09 03:00:00,4114.225,0.0,42.58
-2017-04-09 04:00:00,4063.667,0.0,41.43
-2017-04-09 05:00:00,4092.167,0.0,41.9
-2017-04-09 06:00:00,4191.992,0.0,41.29
-2017-04-09 07:00:00,4328.358,0.0,42.08
-2017-04-09 08:00:00,4539.108,0.0,45.55
-2017-04-09 09:00:00,4747.308,0.0,51.74
-2017-04-09 10:00:00,4900.3,0.0,54.2
-2017-04-09 11:00:00,4991.367,0.0,57.39
-2017-04-09 12:00:00,5015.35,0.0,61.2
-2017-04-09 13:00:00,5008.425,0.0,61.48
-2017-04-09 14:00:00,5013.2,0.0,63.72
-2017-04-09 15:00:00,4995.1,0.0,65.81
-2017-04-09 16:00:00,5008.458,0.0,63.72
-2017-04-09 17:00:00,5030.725,0.0,62.46
-2017-04-09 18:00:00,5075.308,0.0,59.59
-2017-04-09 19:00:00,5200.575,0.0,55.6
-2017-04-09 20:00:00,5337.825,0.0,52.31
-2017-04-09 21:00:00,5253.092,0.0,50.75
-2017-04-09 22:00:00,5041.783,0.0,52.23
-2017-04-09 23:00:00,4729.192,0.0,53.1
-2017-04-10 00:00:00,4431.433,0.0,51.61
-2017-04-10 01:00:00,4224.175,0.0,52.57
-2017-04-10 02:00:00,4088.833,0.0,49.66
-2017-04-10 03:00:00,4034.842,0.0,49.88
-2017-04-10 04:00:00,4052.333,0.0,48.93
-2017-04-10 05:00:00,4245.7,0.0,48.81
-2017-04-10 06:00:00,4687.067,0.0,48.16
-2017-04-10 07:00:00,5178.275,0.0,47.75
-2017-04-10 08:00:00,5562.45,0.0,52.68
-2017-04-10 09:00:00,5829.975,0.0,58.67
-2017-04-10 10:00:00,5931.867,0.0,62.07
-2017-04-10 11:00:00,6020.783,0.0,65.44
-2017-04-10 12:00:00,6057.442,0.0,69.38
-2017-04-10 13:00:00,6083.525,0.0,72.24
-2017-04-10 14:00:00,6083.542,0.0,73.43
-2017-04-10 15:00:00,6092.3,0.0,74.44
-2017-04-10 16:00:00,6127.1,0.0,74.14
-2017-04-10 17:00:00,6099.425,0.0,72.2
-2017-04-10 18:00:00,5917.3,0.0,69.03
-2017-04-10 19:00:00,5824.825,0.0,66.84
-2017-04-10 20:00:00,5824.108,0.0,62.77
-2017-04-10 21:00:00,5632.192,0.0,62.4
-2017-04-10 22:00:00,5327.783,0.0,62.29
-2017-04-10 23:00:00,4929.317,0.0,61.11
-2017-04-11 00:00:00,4556.967,0.0,58.81
-2017-04-11 01:00:00,4308.975,0.0,59.41
-2017-04-11 02:00:00,4153.983,0.0,57.67
-2017-04-11 03:00:00,4081.908,0.0,56.46
-2017-04-11 04:00:00,4080.983,0.0,55.39
-2017-04-11 05:00:00,4254.708,0.0,55.14
-2017-04-11 06:00:00,4685.283,0.0,54.67
-2017-04-11 07:00:00,5190.158,0.0,57.16
-2017-04-11 08:00:00,5611.992,0.0,60.53
-2017-04-11 09:00:00,5887.55,0.0,65.28
-2017-04-11 10:00:00,6013.317,0.0,70.13
-2017-04-11 11:00:00,6117.767,0.0,72.68
-2017-04-11 12:00:00,6218.667,0.0,76.88
-2017-04-11 13:00:00,6296.133,0.0,78.56
-2017-04-11 14:00:00,6299.617,0.0,79.84
-2017-04-11 15:00:00,6318.083,0.0,78.91
-2017-04-11 16:00:00,6344.542,0.0,74.9
-2017-04-11 17:00:00,6308.892,0.0,74.62
-2017-04-11 18:00:00,6049.667,0.0,70.41
-2017-04-11 19:00:00,5944.9,0.0,66.18
-2017-04-11 20:00:00,5903.475,0.0,61.58
-2017-04-11 21:00:00,5700.775,0.0,61.94
-2017-04-11 22:00:00,5391.9,0.0,60.61
-2017-04-11 23:00:00,4998.183,0.0,59.64
-2017-04-12 00:00:00,4638.375,0.0,58.67
-2017-04-12 01:00:00,4401.358,0.0,58.97
-2017-04-12 02:00:00,4226.375,0.0,58.49
-2017-04-12 03:00:00,4135.733,0.0,57.23
-2017-04-12 04:00:00,4130.517,0.0,55.95
-2017-04-12 05:00:00,4302.583,0.0,55.95
-2017-04-12 06:00:00,4727.45,0.0,55.77
-2017-04-12 07:00:00,5230.158,0.0,58.58
-2017-04-12 08:00:00,5700.992,0.0,61.21
-2017-04-12 09:00:00,6006.708,0.0,65.71
-2017-04-12 10:00:00,6156.725,0.0,70.34
-2017-04-12 11:00:00,6257.2,0.0304,67.43
-2017-04-12 12:00:00,6285.167,0.0,66.82
-2017-04-12 13:00:00,6277.375,0.003,65.23
-2017-04-12 14:00:00,6250.517,0.0,67.14
-2017-04-12 15:00:00,6272.233,0.0,70.62
-2017-04-12 16:00:00,6296.775,0.0,73.5
-2017-04-12 17:00:00,6309.1,0.0,71.83
-2017-04-12 18:00:00,6108.858,0.0,69.22
-2017-04-12 19:00:00,5977.892,0.0,66.46
-2017-04-12 20:00:00,5934.3,0.0,64.08
-2017-04-12 21:00:00,5731.842,0.0,57.9
-2017-04-12 22:00:00,5395.592,0.0,58.64
-2017-04-12 23:00:00,4992.525,0.0,57.72
-2017-04-13 00:00:00,4590.9,0.0,54.61
-2017-04-13 01:00:00,4295.608,0.0,54.61
-2017-04-13 02:00:00,4123.2,0.0,53.04
-2017-04-13 03:00:00,4027.375,0.0,49.01
-2017-04-13 04:00:00,4025.55,0.0,47.4
-2017-04-13 05:00:00,4189.625,0.0,46.37
-2017-04-13 06:00:00,4591.292,0.0,46.86
-2017-04-13 07:00:00,5077.025,0.0,49.52
-2017-04-13 08:00:00,5501.525,0.0,51.26
-2017-04-13 09:00:00,5729.025,0.0,53.8
-2017-04-13 10:00:00,5848.783,0.0,55.36
-2017-04-13 11:00:00,5868.617,0.0,58.45
-2017-04-13 12:00:00,5880.692,0.0,59.94
-2017-04-13 13:00:00,5879.658,0.0,62.31
-2017-04-13 14:00:00,5876.867,0.0,63.19
-2017-04-13 15:00:00,5894.808,0.0,64.99
-2017-04-13 16:00:00,5924.383,0.0,64.62
-2017-04-13 17:00:00,5903.2,0.0,63.39
-2017-04-13 18:00:00,5752.625,0.0,60.23
-2017-04-13 19:00:00,5661.8,0.0,57.97
-2017-04-13 20:00:00,5631.75,0.0,55.87
-2017-04-13 21:00:00,5455.258,0.0,54.62
-2017-04-13 22:00:00,5183.675,0.0,54.0
-2017-04-13 23:00:00,4819.967,0.0,52.07
-2017-04-14 00:00:00,4469.092,0.0,49.47
-2017-04-14 01:00:00,4223.567,0.0,49.71
-2017-04-14 02:00:00,4060.217,0.0,47.57
-2017-04-14 03:00:00,3989.325,0.0,47.3
-2017-04-14 04:00:00,3982.075,0.0,45.13
-2017-04-14 05:00:00,4133.367,0.0,44.5
-2017-04-14 06:00:00,4493.567,0.0,46.23
-2017-04-14 07:00:00,4920.625,0.0,49.58
-2017-04-14 08:00:00,5285.9,0.0,51.59
-2017-04-14 09:00:00,5536.492,0.0,53.78
-2017-04-14 10:00:00,5618.033,0.0,56.89
-2017-04-14 11:00:00,5658.342,0.0,61.13
-2017-04-14 12:00:00,5704.8,0.0,65.41
-2017-04-14 13:00:00,5677.392,0.0,65.4
-2017-04-14 14:00:00,5665.8,0.0,66.25
-2017-04-14 15:00:00,5650.642,0.0,65.38
-2017-04-14 16:00:00,5677.567,0.0,65.42
-2017-04-14 17:00:00,5647.458,0.0,62.58
-2017-04-14 18:00:00,5514.283,0.0,58.38
-2017-04-14 19:00:00,5445.392,0.0,55.27
-2017-04-14 20:00:00,5440.783,0.0,52.23
-2017-04-14 21:00:00,5289.958,0.0,50.7
-2017-04-14 22:00:00,5070.917,0.0,50.62
-2017-04-14 23:00:00,4759.792,0.0,50.7
-2017-04-15 00:00:00,4453.517,0.0,48.53
-2017-04-15 01:00:00,4227.417,0.0,48.36
-2017-04-15 02:00:00,4076.425,0.0,48.11
-2017-04-15 03:00:00,3988.342,0.0,45.64
-2017-04-15 04:00:00,3961.85,0.0,47.29
-2017-04-15 05:00:00,3991.408,0.0,46.53
-2017-04-15 06:00:00,4110.008,0.0,46.16
-2017-04-15 07:00:00,4306.0,0.0,50.67
-2017-04-15 08:00:00,4550.467,0.0,53.77
-2017-04-15 09:00:00,4784.842,0.0,58.17
-2017-04-15 10:00:00,4950.058,0.0,60.09
-2017-04-15 11:00:00,5046.008,0.0,60.5
-2017-04-15 12:00:00,5079.175,0.0,60.72
-2017-04-15 13:00:00,5059.633,0.0,60.11
-2017-04-15 14:00:00,5026.825,0.0,61.36
-2017-04-15 15:00:00,5015.575,0.0,61.64
-2017-04-15 16:00:00,5014.283,0.0,64.71
-2017-04-15 17:00:00,5054.258,0.0,61.01
-2017-04-15 18:00:00,5098.118,0.0,60.01
-2017-04-15 19:00:00,5172.575,0.0,58.58
-2017-04-15 20:00:00,5194.408,0.0,55.52
-2017-04-15 21:00:00,5092.15,0.0,58.42
-2017-04-15 22:00:00,4936.025,0.0,58.46
-2017-04-15 23:00:00,4704.617,0.0,57.03
-2017-04-16 00:00:00,4442.392,0.0,57.49
-2017-04-16 01:00:00,4223.942,0.0,57.91
-2017-04-16 02:00:00,4073.467,0.0,58.28
-2017-04-16 03:00:00,3967.342,0.0,57.48
-2017-04-16 04:00:00,3922.742,0.0,58.55
-2017-04-16 05:00:00,3950.383,0.0,57.76
-2017-04-16 06:00:00,4014.108,0.0,59.73
-2017-04-16 07:00:00,4172.717,0.0,62.69
-2017-04-16 08:00:00,4419.675,0.0,66.0
-2017-04-16 09:00:00,4681.667,0.0,69.93
-2017-04-16 10:00:00,4915.517,0.0,75.68
-2017-04-16 11:00:00,5114.375,0.0,81.07
-2017-04-16 12:00:00,5232.875,0.0,83.27
-2017-04-16 13:00:00,5308.142,0.0,85.15
-2017-04-16 14:00:00,5358.2,0.0,86.22
-2017-04-16 15:00:00,5382.092,0.0,85.64
-2017-04-16 16:00:00,5387.483,0.0,84.57
-2017-04-16 17:00:00,5379.667,0.0,81.69
-2017-04-16 18:00:00,5436.1,0.0,74.01
-2017-04-16 19:00:00,5477.558,0.0,75.84
-2017-04-16 20:00:00,5581.3,0.0,72.96
-2017-04-16 21:00:00,5519.067,0.0,72.96
-2017-04-16 22:00:00,5281.842,0.0237,71.18
-2017-04-16 23:00:00,4997.009,0.0,64.64
-2017-04-17 00:00:00,4696.6,0.0,66.5
-2017-04-17 01:00:00,4480.225,0.0,66.75
-2017-04-17 02:00:00,4338.658,0.0,65.63
-2017-04-17 03:00:00,4263.125,0.0,63.85
-2017-04-17 04:00:00,4276.917,0.0,63.52
-2017-04-17 05:00:00,4473.217,0.0,62.57
-2017-04-17 06:00:00,4885.583,0.0,63.7
-2017-04-17 07:00:00,5433.733,0.0,66.02
-2017-04-17 08:00:00,5885.792,0.0,66.3
-2017-04-17 09:00:00,6108.417,0.0,69.34
-2017-04-17 10:00:00,6165.442,0.0,68.02
-2017-04-17 11:00:00,6203.033,0.0,70.35
-2017-04-17 12:00:00,6234.083,0.0,73.65
-2017-04-17 13:00:00,6242.217,0.0,73.22
-2017-04-17 14:00:00,6234.925,0.0,72.6
-2017-04-17 15:00:00,6237.325,0.0,72.2
-2017-04-17 16:00:00,6263.958,0.0,73.5
-2017-04-17 17:00:00,6214.708,0.0,70.86
-2017-04-17 18:00:00,6030.192,0.0,66.53
-2017-04-17 19:00:00,5892.342,0.0,64.35
-2017-04-17 20:00:00,5832.108,0.0,60.6
-2017-04-17 21:00:00,5623.092,0.0,59.83
-2017-04-17 22:00:00,5324.617,0.0,59.21
-2017-04-17 23:00:00,4911.692,0.0,57.77
-2017-04-18 00:00:00,4501.333,0.0,55.62
-2017-04-18 01:00:00,4249.75,0.0,54.99
-2017-04-18 02:00:00,4088.975,0.0,53.11
-2017-04-18 03:00:00,4008.85,0.0,51.97
-2017-04-18 04:00:00,4014.858,0.0,50.83
-2017-04-18 05:00:00,4198.083,0.0,50.49
-2017-04-18 06:00:00,4606.433,0.0,49.71
-2017-04-18 07:00:00,5095.233,0.0,52.78
-2017-04-18 08:00:00,5513.883,0.0,54.58
-2017-04-18 09:00:00,5744.808,0.0,56.95
-2017-04-18 10:00:00,5838.95,0.0,59.68
-2017-04-18 11:00:00,5896.358,0.0,62.42
-2017-04-18 12:00:00,5938.008,0.0,65.43
-2017-04-18 13:00:00,5971.217,0.0,65.84
-2017-04-18 14:00:00,5970.767,0.0,66.39
-2017-04-18 15:00:00,5972.783,0.0,65.5
-2017-04-18 16:00:00,5969.808,0.0,61.13
-2017-04-18 17:00:00,5929.283,0.0,58.78
-2017-04-18 18:00:00,5771.55,0.0,55.12
-2017-04-18 19:00:00,5687.958,0.0,51.58
-2017-04-18 20:00:00,5727.775,0.0,49.16
-2017-04-18 21:00:00,5557.133,0.0,49.73
-2017-04-18 22:00:00,5236.275,0.0,49.05
-2017-04-18 23:00:00,4821.483,0.0,48.48
-2017-04-19 00:00:00,4446.183,0.0,48.61
-2017-04-19 01:00:00,4188.733,0.0,47.77
-2017-04-19 02:00:00,4040.917,0.0,47.04
-2017-04-19 03:00:00,3967.975,0.0,46.34
-2017-04-19 04:00:00,3981.758,0.0,45.9
-2017-04-19 05:00:00,4173.975,0.0,46.35
-2017-04-19 06:00:00,4669.783,0.0,46.27
-2017-04-19 07:00:00,5207.625,0.0,47.6
-2017-04-19 08:00:00,5590.108,0.0,48.89
-2017-04-19 09:00:00,5844.492,0.0,50.36
-2017-04-19 10:00:00,5927.4,0.0,51.47
-2017-04-19 11:00:00,5947.017,0.0,52.46
-2017-04-19 12:00:00,5952.808,0.0,54.15
-2017-04-19 13:00:00,5953.5,0.0,54.52
-2017-04-19 14:00:00,5925.708,0.0,56.49
-2017-04-19 15:00:00,5953.117,0.0,53.88
-2017-04-19 16:00:00,6061.042,0.0,53.31
-2017-04-19 17:00:00,6108.508,0.0,50.91
-2017-04-19 18:00:00,6004.267,0.0,49.26
-2017-04-19 19:00:00,5911.717,0.0,49.27
-2017-04-19 20:00:00,5828.675,0.0,49.58
-2017-04-19 21:00:00,5626.133,0.0,49.24
-2017-04-19 22:00:00,5292.325,0.0,49.64
-2017-04-19 23:00:00,4867.267,0.0,50.27
-2017-04-20 00:00:00,4479.642,0.0,50.12
-2017-04-20 01:00:00,4226.392,0.0,50.55
-2017-04-20 02:00:00,4081.892,0.0,50.94
-2017-04-20 03:00:00,4009.608,0.003,50.74
-2017-04-20 04:00:00,4021.75,0.0,51.6
-2017-04-20 05:00:00,4221.425,0.0,50.57
-2017-04-20 06:00:00,4726.083,0.003,50.88
-2017-04-20 07:00:00,5325.683,0.0439,51.58
-2017-04-20 08:00:00,5733.233,0.003,52.96
-2017-04-20 09:00:00,5952.092,0.0,52.81
-2017-04-20 10:00:00,6033.517,0.0,54.49
-2017-04-20 11:00:00,6044.858,0.0,58.92
-2017-04-20 12:00:00,6038.392,0.0,61.12
-2017-04-20 13:00:00,6038.625,0.0,63.92
-2017-04-20 14:00:00,6044.417,0.0,65.16
-2017-04-20 15:00:00,6057.8,0.0,67.44
-2017-04-20 16:00:00,6108.158,0.0,65.82
-2017-04-20 17:00:00,6096.692,0.0,64.23
-2017-04-20 18:00:00,5923.667,0.0,62.7
-2017-04-20 19:00:00,5827.458,0.0,60.17
-2017-04-20 20:00:00,5768.667,0.0,54.89
-2017-04-20 21:00:00,5561.092,0.002,56.37
-2017-04-20 22:00:00,5243.983,0.0,54.82
-2017-04-20 23:00:00,4856.792,0.0,53.71
-2017-04-21 00:00:00,4461.025,0.0,54.2
-2017-04-21 01:00:00,4215.533,0.0905,53.11
-2017-04-21 02:00:00,4085.833,0.0,51.54
-2017-04-21 03:00:00,4011.283,0.0,50.59
-2017-04-21 04:00:00,4015.767,0.0,50.52
-2017-04-21 05:00:00,4203.875,0.0,50.17
-2017-04-21 06:00:00,4687.358,0.0324,50.35
-2017-04-21 07:00:00,5265.208,0.0085,50.5
-2017-04-21 08:00:00,5638.458,0.0085,51.17
-2017-04-21 09:00:00,5898.05,0.0,50.89
-2017-04-21 10:00:00,6019.475,0.0,52.06
-2017-04-21 11:00:00,6065.267,0.0,53.04
-2017-04-21 12:00:00,6048.708,0.0,53.74
-2017-04-21 13:00:00,6057.225,0.0,54.41
-2017-04-21 14:00:00,6009.417,0.0,55.57
-2017-04-21 15:00:00,6004.367,0.0,56.26
-2017-04-21 16:00:00,5997.45,0.0,55.7
-2017-04-21 17:00:00,5972.667,0.0,55.4
-2017-04-21 18:00:00,5825.108,0.0,53.28
-2017-04-21 19:00:00,5759.925,0.0,52.28
-2017-04-21 20:00:00,5695.658,0.0,51.74
-2017-04-21 21:00:00,5519.492,0.0,51.17
-2017-04-21 22:00:00,5261.992,0.0,51.32
-2017-04-22 00:00:00,4570.083,0.0,50.87
-2017-04-22 01:00:00,4318.967,0.0,50.36
-2017-04-22 02:00:00,4149.383,0.0,50.07
-2017-04-22 03:00:00,4057.783,0.0,49.94
-2017-04-22 04:00:00,4026.4,0.0,50.11
-2017-04-22 05:00:00,4077.258,0.0,50.14
-2017-04-22 06:00:00,4201.1,0.0,51.32
-2017-04-22 07:00:00,4450.133,0.0,51.58
-2017-04-22 08:00:00,4734.658,0.0,53.04
-2017-04-22 09:00:00,5006.433,0.0,53.67
-2017-04-22 10:00:00,5165.933,0.0,53.17
-2017-04-22 11:00:00,5227.875,0.0,54.32
-2017-04-22 12:00:00,5272.383,0.052,56.82
-2017-04-22 13:00:00,5274.3,0.0,56.91
-2017-04-22 14:00:00,5283.442,0.0146,55.89
-2017-04-22 15:00:00,5249.275,0.0062,55.36
-2017-04-22 16:00:00,5250.308,0.0022,54.67
-2017-04-22 17:00:00,5271.517,0.0029,54.51
-2017-04-22 18:00:00,5262.7,0.0,53.19
-2017-04-22 19:00:00,5282.05,0.0,53.37
-2017-04-22 20:00:00,5328.983,0.0,52.38
-2017-04-22 21:00:00,5216.592,0.0,51.89
-2017-04-22 22:00:00,5043.0,0.0,51.41
-2017-04-22 23:00:00,4780.733,0.0,49.53
-2017-04-23 00:00:00,4492.008,0.0,49.22
-2017-04-23 01:00:00,4259.667,0.0,48.81
-2017-04-23 02:00:00,4091.183,0.0,46.75
-2017-04-23 03:00:00,3999.958,0.0,45.06
-2017-04-23 04:00:00,3957.408,0.0,45.14
-2017-04-23 05:00:00,3990.033,0.0,45.96
-2017-04-23 06:00:00,4055.133,0.0,46.67
-2017-04-23 07:00:00,4203.283,0.0,48.35
-2017-04-23 08:00:00,4439.55,0.0,51.24
-2017-04-23 09:00:00,4643.158,0.0,55.82
-2017-04-23 10:00:00,4808.358,0.0,57.6
-2017-04-23 11:00:00,4930.292,0.0,61.02
-2017-04-23 12:00:00,4949.792,0.0,62.92
-2017-04-23 13:00:00,4968.142,0.0,64.95
-2017-04-23 14:00:00,4977.417,0.0,66.9
-2017-04-23 15:00:00,4969.792,0.0,66.27
-2017-04-23 16:00:00,4975.117,0.0,64.11
-2017-04-23 17:00:00,5012.208,0.0,61.48
-2017-04-23 18:00:00,5047.425,0.0,56.39
-2017-04-23 19:00:00,5125.183,0.0,52.8
-2017-04-23 20:00:00,5297.492,0.0,49.4
-2017-04-23 21:00:00,5222.683,0.0,50.19
-2017-04-23 22:00:00,4977.017,0.0,49.6
-2017-04-23 23:00:00,4652.242,0.0,50.02
-2017-04-24 00:00:00,4345.833,0.0,49.01
-2017-04-24 01:00:00,4124.542,0.0,48.3
-2017-04-24 02:00:00,4004.325,0.0,47.68
-2017-04-24 03:00:00,3944.992,0.0,46.95
-2017-04-24 04:00:00,3975.308,0.0,45.34
-2017-04-24 05:00:00,4207.475,0.0,45.72
-2017-04-24 06:00:00,4681.383,0.0,46.14
-2017-04-24 07:00:00,5238.917,0.0,49.46
-2017-04-24 08:00:00,5596.583,0.0,52.85
-2017-04-24 09:00:00,5801.408,0.0,55.56
-2017-04-24 10:00:00,5909.858,0.0,57.91
-2017-04-24 11:00:00,5950.542,0.0,60.79
-2017-04-24 12:00:00,5990.2,0.0,60.28
-2017-04-24 13:00:00,5982.217,0.0024,61.86
-2017-04-24 14:00:00,5962.075,0.0034,59.48
-2017-04-24 15:00:00,5968.55,0.0137,59.01
-2017-04-24 16:00:00,5987.242,0.003,56.67
-2017-04-24 17:00:00,5968.392,0.0,56.06
-2017-04-24 18:00:00,5838.892,0.0,54.71
-2017-04-24 19:00:00,5800.083,0.0064,53.87
-2017-04-24 20:00:00,5769.533,0.002,51.75
-2017-04-24 21:00:00,5559.958,0.0,53.3
-2017-04-24 22:00:00,5232.45,0.0,51.71
-2017-04-24 23:00:00,4804.725,0.008,52.58
-2017-04-25 00:00:00,4437.458,0.0,51.59
-2017-04-25 01:00:00,4204.95,0.0,51.24
-2017-04-25 02:00:00,4067.783,0.003,50.61
-2017-04-25 03:00:00,4000.233,0.0,50.84
-2017-04-25 04:00:00,4023.758,0.003,50.36
-2017-04-25 05:00:00,4237.767,0.002,50.58
-2017-04-25 06:00:00,4729.225,0.0239,50.74
-2017-04-25 07:00:00,5306.825,0.0,50.82
-2017-04-25 08:00:00,5709.75,0.0,51.29
-2017-04-25 09:00:00,5948.5,0.0036,51.61
-2017-04-25 10:00:00,6052.442,0.0,52.3
-2017-04-25 11:00:00,6116.658,0.0,53.42
-2017-04-25 12:00:00,6130.992,0.0,53.04
-2017-04-25 13:00:00,6149.925,0.0,54.73
-2017-04-25 14:00:00,6113.6,0.0,53.87
-2017-04-25 15:00:00,6118.075,0.0123,54.89
-2017-04-25 16:00:00,6160.0,0.012,53.79
-2017-04-25 17:00:00,6179.483,0.0071,52.96
-2017-04-25 18:00:00,6063.692,0.0053,52.92
-2017-04-25 19:00:00,5977.625,0.0172,52.64
-2017-04-25 20:00:00,5906.167,0.2203,52.52
-2017-04-25 21:00:00,5687.375,0.0713,52.9
-2017-04-25 22:00:00,5338.333,0.0105,53.04
-2017-04-25 23:00:00,4898.758,0.0038,52.48
-2017-04-26 00:00:00,4500.167,0.0,53.41
-2017-04-26 01:00:00,4264.883,0.0,53.55
-2017-04-26 02:00:00,4113.792,0.0,53.8
-2017-04-26 03:00:00,4045.15,0.0,53.7
-2017-04-26 04:00:00,4049.967,0.0,53.59
-2017-04-26 05:00:00,4253.808,0.0047,53.47
-2017-04-26 06:00:00,4773.967,0.0057,54.3
-2017-04-26 07:00:00,5359.75,0.0077,54.52
-2017-04-26 08:00:00,5756.825,0.0,55.56
-2017-04-26 09:00:00,5975.608,0.0,56.2
-2017-04-26 10:00:00,6077.158,0.0,57.06
-2017-04-26 11:00:00,6125.618,0.005,58.78
-2017-04-26 12:00:00,6109.983,0.0,59.03
-2017-04-26 13:00:00,6122.417,0.0,59.7
-2017-04-26 14:00:00,6107.717,0.0,59.93
-2017-04-26 15:00:00,6115.292,0.0,60.98
-2017-04-26 18:00:00,6033.067,0.0,59.22
-2017-04-26 19:00:00,5960.75,0.0,58.86
-2017-04-26 20:00:00,5895.233,0.0,58.89
-2017-04-26 21:00:00,5653.333,0.0,58.37
-2017-04-26 22:00:00,5329.917,0.0,57.79
-2017-04-26 23:00:00,4914.725,0.0,58.49
-2017-04-27 00:00:00,4509.875,0.0,57.67
-2017-04-27 01:00:00,4248.592,0.0,57.32
-2017-04-27 02:00:00,4110.45,0.0,57.47
-2017-04-27 03:00:00,4047.092,0.0,57.23
-2017-04-27 04:00:00,4042.65,0.005,57.71
-2017-04-27 05:00:00,4242.767,0.0,57.04
-2017-04-27 06:00:00,4752.867,0.0041,58.27
-2017-04-27 07:00:00,5374.742,0.0,58.79
-2017-04-27 08:00:00,5783.717,0.0,60.27
-2017-04-27 09:00:00,6061.567,0.0,62.32
-2017-04-27 10:00:00,6104.433,0.0,63.1
-2017-04-27 11:00:00,6180.292,0.0,64.81
-2017-04-27 12:00:00,6237.827,0.0,67.97
-2017-04-27 13:00:00,6242.367,0.0,68.68
-2017-04-27 14:00:00,6231.442,0.0,68.31
-2017-04-27 15:00:00,6264.533,0.0,67.52
-2017-04-27 16:00:00,6266.1,0.0,66.94
-2017-04-27 17:00:00,6233.008,0.0,64.03
-2017-04-27 18:00:00,6053.592,0.0,61.26
-2017-04-27 19:00:00,5954.35,0.0,58.34
-2017-04-27 20:00:00,5867.942,0.0,58.63
-2017-04-27 21:00:00,5653.05,0.0,58.15
-2017-04-27 22:00:00,5313.292,0.0,57.32
-2017-04-27 23:00:00,4914.083,0.0,56.59
-2017-04-28 00:00:00,4511.792,0.0,56.9
-2017-04-28 01:00:00,4259.592,0.0,56.79
-2017-04-28 02:00:00,4109.833,0.0,57.0
-2017-04-28 03:00:00,4042.667,0.0044,57.56
-2017-04-28 04:00:00,4062.667,0.0,58.02
-2017-04-28 05:00:00,4253.95,0.0,57.68
-2017-04-28 06:00:00,4749.142,0.0,58.29
-2017-04-28 07:00:00,5330.5,0.0,59.44
-2017-04-28 08:00:00,5770.292,0.0,61.52
-2017-04-28 09:00:00,6084.2,0.0,65.2
-2017-04-28 10:00:00,6260.642,0.0,68.39
-2017-04-28 11:00:00,6424.983,0.0,74.0
-2017-04-28 12:00:00,6544.6,0.0,78.51
-2017-04-28 13:00:00,6638.05,0.0,81.46
-2017-04-28 14:00:00,6674.858,0.0,81.54
-2017-04-28 15:00:00,6732.575,0.0,82.38
-2017-04-28 16:00:00,6776.7,0.0,81.18
-2017-04-28 17:00:00,6711.95,0.0,78.47
-2017-04-28 18:00:00,6432.117,0.0,75.03
-2017-04-28 19:00:00,6219.0,0.0,71.32
-2017-04-28 20:00:00,6127.767,0.0,67.01
-2017-04-28 21:00:00,5936.567,0.0,67.05
-2017-04-28 22:00:00,5646.283,0.0,66.75
-2017-04-28 23:00:00,5275.175,0.0,65.18
-2017-04-29 00:00:00,4894.267,0.0,63.36
-2017-04-29 01:00:00,4633.217,0.0,64.11
-2017-04-29 02:00:00,4452.317,0.002,64.71
-2017-04-29 03:00:00,4350.992,0.002,63.54
-2017-04-29 04:00:00,4294.667,0.0413,64.39
-2017-04-29 05:00:00,4327.142,0.0331,65.2
-2017-04-29 06:00:00,4447.575,0.0,65.26
-2017-04-29 07:00:00,4698.792,0.0,64.92
-2017-04-29 08:00:00,5066.208,0.0,68.52
-2017-04-29 09:00:00,5394.775,0.0,70.44
-2017-04-29 10:00:00,5761.125,0.0,74.0
-2017-04-29 11:00:00,6017.458,0.0,78.16
-2017-04-29 12:00:00,6116.375,0.0,80.12
-2017-04-29 13:00:00,6170.817,0.0,81.73
-2017-04-29 14:00:00,6213.333,0.0,82.24
-2017-04-29 15:00:00,6268.008,0.0,82.46
-2017-04-29 16:00:00,6276.95,0.0,82.63
-2017-04-29 17:00:00,6211.217,0.0,80.78
-2017-04-29 18:00:00,6155.167,0.0,76.7
-2017-04-29 19:00:00,6088.033,0.0,74.84
-2017-04-29 20:00:00,6117.8,0.0,71.26
-2017-04-29 21:00:00,6015.442,0.0,70.74
-2017-04-29 22:00:00,5784.908,0.0,69.06
-2017-04-29 23:00:00,5454.85,0.0,67.33
-2017-04-30 00:00:00,5068.067,0.0,64.56
-2017-04-30 01:00:00,4742.225,0.0,63.82
-2017-04-30 02:00:00,4499.775,0.0,62.32
-2017-04-30 03:00:00,4345.483,0.0,61.2
-2017-04-30 04:00:00,4249.583,0.0,60.06
-2017-04-30 05:00:00,4228.875,0.0,59.28
-2017-04-30 06:00:00,4219.942,0.0,58.51
-2017-04-30 07:00:00,4345.725,0.0,57.35
-2017-04-30 08:00:00,4574.8,0.0,57.71
-2017-04-30 09:00:00,4810.742,0.0,58.65
-2017-04-30 10:00:00,5000.792,0.0,60.52
-2017-04-30 11:00:00,5115.392,0.0,60.03
-2017-04-30 12:00:00,5185.317,0.0,61.08
-2017-04-30 13:00:00,5170.55,0.0,63.6
-2017-04-30 14:00:00,5129.883,0.0,59.73
-2017-04-30 15:00:00,5121.292,0.0,57.96
-2017-04-30 16:00:00,5135.025,0.003,56.38
-2017-04-30 17:00:00,5152.583,0.0,56.72
-2017-04-30 18:00:00,5198.733,0.0,54.63
-2017-04-30 19:00:00,5223.075,0.0,53.83
-2017-04-30 20:00:00,5288.958,0.0,52.71
-2017-04-30 21:00:00,5190.033,0.0,52.52
-2017-04-30 22:00:00,4935.9,0.0,52.78
-2017-04-30 23:00:00,4610.158,0.0,51.94