From db77617ee0e2fccb67e8fba2fd8cbce99ba96e99 Mon Sep 17 00:00:00 2001 From: binhbinh22 Date: Sat, 9 Aug 2025 13:12:39 +0900 Subject: [PATCH] forecasting stock --- .gitignore | 2 + data_provider/data_factory.py | 1 + data_provider/data_loader.py | 88 +- dataset/ETT-small/ETTh1.csv | 17321 +++++++++++++++++++++++++++++++ dataset/prompt_bank/custom.txt | 1 + dataset/stock/XOM.csv | 1259 +++ models/TimeLLM.py | 2 +- run_main.py | 10 +- scripts/TimeLLM_ETTh1.sh | 183 +- 9 files changed, 18727 insertions(+), 140 deletions(-) create mode 100644 .gitignore create mode 100644 dataset/ETT-small/ETTh1.csv create mode 100644 dataset/prompt_bank/custom.txt create mode 100644 dataset/stock/XOM.csv mode change 100644 => 100755 scripts/TimeLLM_ETTh1.sh diff --git a/.gitignore b/.gitignore new file mode 100644 index 00000000..2d55ae36 --- /dev/null +++ b/.gitignore @@ -0,0 +1,2 @@ +timellm/ +__pycache__/ \ No newline at end of file diff --git a/data_provider/data_factory.py b/data_provider/data_factory.py index c046f050..aae637ef 100644 --- a/data_provider/data_factory.py +++ b/data_provider/data_factory.py @@ -9,6 +9,7 @@ 'ECL': Dataset_Custom, 'Traffic': Dataset_Custom, 'Weather': Dataset_Custom, + 'custom': Dataset_Custom, 'm4': Dataset_M4, } diff --git a/data_provider/data_loader.py b/data_provider/data_loader.py index a9a1569d..b4b51e5e 100644 --- a/data_provider/data_loader.py +++ b/data_provider/data_loader.py @@ -9,8 +9,7 @@ warnings.filterwarnings('ignore') - -class Dataset_ETT_hour(Dataset): +class Dataset_Custom(Dataset): def __init__(self, root_path, flag='train', size=None, features='S', data_path='ETTh1.csv', target='OT', scale=True, timeenc=0, freq='h', percent=100, @@ -28,14 +27,13 @@ def __init__(self, root_path, flag='train', size=None, type_map = {'train': 0, 'val': 1, 'test': 2} self.set_type = type_map[flag] - self.percent = percent self.features = features self.target = target self.scale = scale self.timeenc = timeenc self.freq = freq + self.percent = percent - # self.percent = percent self.root_path = root_path self.data_path = data_path self.__read_data__() @@ -48,9 +46,18 @@ def __read_data__(self): df_raw = pd.read_csv(os.path.join(self.root_path, self.data_path)) - border1s = [0, 12 * 30 * 24 - self.seq_len, 12 * 30 * 24 + 4 * 30 * 24 - self.seq_len] - border2s = [12 * 30 * 24, 12 * 30 * 24 + 4 * 30 * 24, 12 * 30 * 24 + 8 * 30 * 24] - + ''' + df_raw.columns: ['Date', ...(other features), target feature] + ''' + cols = list(df_raw.columns) + cols.remove(self.target) + cols.remove('Date') + df_raw = df_raw[['Date'] + cols + [self.target]] + num_train = int(len(df_raw) * 0.7) + num_test = int(len(df_raw) * 0.2) + num_vali = len(df_raw) - num_train - num_test + border1s = [0, num_train - self.seq_len, len(df_raw) - num_test - self.seq_len] + border2s = [num_train, num_train + num_vali, len(df_raw)] border1 = border1s[self.set_type] border2 = border2s[self.set_type] @@ -70,23 +77,22 @@ def __read_data__(self): else: data = df_data.values - df_stamp = df_raw[['date']][border1:border2] - df_stamp['date'] = pd.to_datetime(df_stamp.date) + df_stamp = df_raw[['Date']][border1:border2] + df_stamp['Date'] = pd.to_datetime(df_stamp.Date) if self.timeenc == 0: df_stamp['month'] = df_stamp.date.apply(lambda row: row.month, 1) df_stamp['day'] = df_stamp.date.apply(lambda row: row.day, 1) df_stamp['weekday'] = df_stamp.date.apply(lambda row: row.weekday(), 1) df_stamp['hour'] = df_stamp.date.apply(lambda row: row.hour, 1) - data_stamp = df_stamp.drop(['date'], 1).values + data_stamp = df_stamp.drop(['Date'], 1).values elif self.timeenc == 1: - data_stamp = time_features(pd.to_datetime(df_stamp['date'].values), freq=self.freq) + data_stamp = time_features(pd.to_datetime(df_stamp['Date'].values), freq=self.freq) data_stamp = data_stamp.transpose(1, 0) self.data_x = data[border1:border2] self.data_y = data[border1:border2] self.data_stamp = data_stamp - def __getitem__(self, index): feat_id = index // self.tot_len s_begin = index % self.tot_len @@ -108,10 +114,11 @@ def inverse_transform(self, data): return self.scaler.inverse_transform(data) -class Dataset_ETT_minute(Dataset): + +class Dataset_ETT_hour(Dataset): def __init__(self, root_path, flag='train', size=None, - features='S', data_path='ETTm1.csv', - target='OT', scale=True, timeenc=0, freq='t', percent=100, + features='S', data_path='ETTh1.csv', + target='OT', scale=True, timeenc=0, freq='h', percent=100, seasonal_patterns=None): if size == None: self.seq_len = 24 * 4 * 4 @@ -133,6 +140,7 @@ def __init__(self, root_path, flag='train', size=None, self.timeenc = timeenc self.freq = freq + # self.percent = percent self.root_path = root_path self.data_path = data_path self.__read_data__() @@ -145,8 +153,8 @@ def __read_data__(self): df_raw = pd.read_csv(os.path.join(self.root_path, self.data_path)) - border1s = [0, 12 * 30 * 24 * 4 - self.seq_len, 12 * 30 * 24 * 4 + 4 * 30 * 24 * 4 - self.seq_len] - border2s = [12 * 30 * 24 * 4, 12 * 30 * 24 * 4 + 4 * 30 * 24 * 4, 12 * 30 * 24 * 4 + 8 * 30 * 24 * 4] + border1s = [0, 12 * 30 * 24 - self.seq_len, 12 * 30 * 24 + 4 * 30 * 24 - self.seq_len] + border2s = [12 * 30 * 24, 12 * 30 * 24 + 4 * 30 * 24, 12 * 30 * 24 + 8 * 30 * 24] border1 = border1s[self.set_type] border2 = border2s[self.set_type] @@ -167,24 +175,23 @@ def __read_data__(self): else: data = df_data.values - df_stamp = df_raw[['date']][border1:border2] - df_stamp['date'] = pd.to_datetime(df_stamp.date) + df_stamp = df_raw[['Date']][border1:border2] + df_stamp['Date'] = pd.to_datetime(df_stamp.date) if self.timeenc == 0: df_stamp['month'] = df_stamp.date.apply(lambda row: row.month, 1) df_stamp['day'] = df_stamp.date.apply(lambda row: row.day, 1) df_stamp['weekday'] = df_stamp.date.apply(lambda row: row.weekday(), 1) df_stamp['hour'] = df_stamp.date.apply(lambda row: row.hour, 1) - df_stamp['minute'] = df_stamp.date.apply(lambda row: row.minute, 1) - df_stamp['minute'] = df_stamp.minute.map(lambda x: x // 15) - data_stamp = df_stamp.drop(['date'], 1).values + data_stamp = df_stamp.drop(['Date'], 1).values elif self.timeenc == 1: - data_stamp = time_features(pd.to_datetime(df_stamp['date'].values), freq=self.freq) + data_stamp = time_features(pd.to_datetime(df_stamp['Date'].values), freq=self.freq) data_stamp = data_stamp.transpose(1, 0) self.data_x = data[border1:border2] self.data_y = data[border1:border2] self.data_stamp = data_stamp + def __getitem__(self, index): feat_id = index // self.tot_len s_begin = index % self.tot_len @@ -206,10 +213,10 @@ def inverse_transform(self, data): return self.scaler.inverse_transform(data) -class Dataset_Custom(Dataset): +class Dataset_ETT_minute(Dataset): def __init__(self, root_path, flag='train', size=None, - features='S', data_path='ETTh1.csv', - target='OT', scale=True, timeenc=0, freq='h', percent=100, + features='S', data_path='ETTm1.csv', + target='OT', scale=True, timeenc=0, freq='t', percent=100, seasonal_patterns=None): if size == None: self.seq_len = 24 * 4 * 4 @@ -224,12 +231,12 @@ def __init__(self, root_path, flag='train', size=None, type_map = {'train': 0, 'val': 1, 'test': 2} self.set_type = type_map[flag] + self.percent = percent self.features = features self.target = target self.scale = scale self.timeenc = timeenc self.freq = freq - self.percent = percent self.root_path = root_path self.data_path = data_path @@ -243,18 +250,9 @@ def __read_data__(self): df_raw = pd.read_csv(os.path.join(self.root_path, self.data_path)) - ''' - df_raw.columns: ['date', ...(other features), target feature] - ''' - cols = list(df_raw.columns) - cols.remove(self.target) - cols.remove('date') - df_raw = df_raw[['date'] + cols + [self.target]] - num_train = int(len(df_raw) * 0.7) - num_test = int(len(df_raw) * 0.2) - num_vali = len(df_raw) - num_train - num_test - border1s = [0, num_train - self.seq_len, len(df_raw) - num_test - self.seq_len] - border2s = [num_train, num_train + num_vali, len(df_raw)] + border1s = [0, 12 * 30 * 24 * 4 - self.seq_len, 12 * 30 * 24 * 4 + 4 * 30 * 24 * 4 - self.seq_len] + border2s = [12 * 30 * 24 * 4, 12 * 30 * 24 * 4 + 4 * 30 * 24 * 4, 12 * 30 * 24 * 4 + 8 * 30 * 24 * 4] + border1 = border1s[self.set_type] border2 = border2s[self.set_type] @@ -274,16 +272,18 @@ def __read_data__(self): else: data = df_data.values - df_stamp = df_raw[['date']][border1:border2] - df_stamp['date'] = pd.to_datetime(df_stamp.date) + df_stamp = df_raw[['Date']][border1:border2] + df_stamp['Date'] = pd.to_datetime(df_stamp.date) if self.timeenc == 0: df_stamp['month'] = df_stamp.date.apply(lambda row: row.month, 1) df_stamp['day'] = df_stamp.date.apply(lambda row: row.day, 1) df_stamp['weekday'] = df_stamp.date.apply(lambda row: row.weekday(), 1) df_stamp['hour'] = df_stamp.date.apply(lambda row: row.hour, 1) - data_stamp = df_stamp.drop(['date'], 1).values + df_stamp['minute'] = df_stamp.date.apply(lambda row: row.minute, 1) + df_stamp['minute'] = df_stamp.minute.map(lambda x: x // 15) + data_stamp = df_stamp.drop(['Date'], 1).values elif self.timeenc == 1: - data_stamp = time_features(pd.to_datetime(df_stamp['date'].values), freq=self.freq) + data_stamp = time_features(pd.to_datetime(df_stamp['Date'].values), freq=self.freq) data_stamp = data_stamp.transpose(1, 0) self.data_x = data[border1:border2] @@ -311,6 +311,8 @@ def inverse_transform(self, data): return self.scaler.inverse_transform(data) + + class Dataset_M4(Dataset): def __init__(self, root_path, flag='pred', size=None, features='S', data_path='ETTh1.csv', diff --git a/dataset/ETT-small/ETTh1.csv b/dataset/ETT-small/ETTh1.csv new file mode 100644 index 00000000..2963ce00 --- /dev/null +++ b/dataset/ETT-small/ETTh1.csv @@ -0,0 +1,17321 @@ +Id,date,OT, +0,2016-07-01 00:00:00,30.5310001373291 +1,2016-07-01 01:00:00,27.78700065612793 +2,2016-07-01 02:00:00,27.78700065612793 +3,2016-07-01 03:00:00,25.04400062561035 +4,2016-07-01 04:00:00,21.947999954223643 +5,2016-07-01 05:00:00,21.17399978637696 +6,2016-07-01 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20:00:00,4.2210001945495605 +13173,2017-12-31 21:00:00,4.2210001945495605 +13174,2017-12-31 22:00:00,4.2210001945495605 +13175,2017-12-31 23:00:00,4.2210001945495605 +13176,2018-01-01 00:00:00,5.205999851226807 +13177,2018-01-01 01:00:00,4.501999855041504 +13178,2018-01-01 02:00:00,4.994999885559082 +13179,2018-01-01 03:00:00,4.290999889373778 +13180,2018-01-01 04:00:00,4.150000095367432 +13181,2018-01-01 05:00:00,4.010000228881837 +13182,2018-01-01 06:00:00,4.010000228881837 +13183,2018-01-01 07:00:00,3.588000059127808 +13184,2018-01-01 08:00:00,3.236000061035156 +13185,2018-01-01 09:00:00,3.4470000267028813 +13186,2018-01-01 10:00:00,3.377000093460083 +13187,2018-01-01 11:00:00,4.432000160217285 +13188,2018-01-01 12:00:00,3.86899995803833 +13189,2018-01-01 13:00:00,4.2210001945495605 +13190,2018-01-01 14:00:00,4.923999786376953 +13191,2018-01-01 15:00:00,3.938999891281128 +13192,2018-01-01 16:00:00,4.150000095367432 +13193,2018-01-01 17:00:00,3.938999891281128 +13194,2018-01-01 18:00:00,3.7279999256134033 +13195,2018-01-01 19:00:00,3.4470000267028813 +13196,2018-01-01 20:00:00,3.236000061035156 +13197,2018-01-01 21:00:00,3.095000028610228 +13198,2018-01-01 22:00:00,2.884000062942505 +13199,2018-01-01 23:00:00,2.884000062942505 +13200,2018-01-02 00:00:00,2.884000062942505 +13201,2018-01-02 01:00:00,3.5169999599456787 +13202,2018-01-02 02:00:00,3.799000024795532 +13203,2018-01-02 03:00:00,3.86899995803833 +13204,2018-01-02 04:00:00,3.86899995803833 +13205,2018-01-02 05:00:00,3.86899995803833 +13206,2018-01-02 06:00:00,4.64300012588501 +13207,2018-01-02 07:00:00,4.8540000915527335 +13208,2018-01-02 08:00:00,4.7129998207092285 +13209,2018-01-02 09:00:00,4.8540000915527335 +13210,2018-01-02 10:00:00,5.065000057220459 +13211,2018-01-02 11:00:00,5.697999954223633 +13212,2018-01-02 12:00:00,5.9790000915527335 +13213,2018-01-02 13:00:00,5.486999988555908 +13214,2018-01-02 14:00:00,5.908999919891357 +13215,2018-01-02 15:00:00,6.894000053405763 +13216,2018-01-02 16:00:00,6.190999984741211 +13217,2018-01-02 17:00:00,6.61299991607666 +13218,2018-01-02 18:00:00,5.065000057220459 +13219,2018-01-02 19:00:00,4.432000160217285 +13220,2018-01-02 20:00:00,4.150000095367432 +13221,2018-01-02 21:00:00,3.86899995803833 +13222,2018-01-02 22:00:00,4.361999988555908 +13223,2018-01-02 23:00:00,3.5169999599456787 +13224,2018-01-03 00:00:00,3.4470000267028813 +13225,2018-01-03 01:00:00,2.6730000972747803 +13226,2018-01-03 02:00:00,1.8289999961853027 +13227,2018-01-03 03:00:00,2.180999994277954 +13228,2018-01-03 04:00:00,0.703000009059906 +13229,2018-01-03 05:00:00,1.8289999961853027 +13230,2018-01-03 06:00:00,2.180999994277954 +13231,2018-01-03 07:00:00,1.89900004863739 +13232,2018-01-03 08:00:00,0.843999981880188 +13233,2018-01-03 09:00:00,0.0 +13234,2018-01-03 10:00:00,1.618000030517578 +13235,2018-01-03 11:00:00,0.0 +13236,2018-01-03 12:00:00,0.0 +13237,2018-01-03 13:00:00,-0.6330000162124634 +13238,2018-01-03 14:00:00,0.0 +13239,2018-01-03 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13:00:00,2.180999994277954 +13286,2018-01-05 14:00:00,3.588000059127808 +13287,2018-01-05 15:00:00,2.884000062942505 +13288,2018-01-05 16:00:00,2.602999925613404 +13289,2018-01-05 17:00:00,2.9549999237060547 +13290,2018-01-05 18:00:00,2.9549999237060547 +13291,2018-01-05 19:00:00,3.377000093460083 +13292,2018-01-05 20:00:00,3.4470000267028813 +13293,2018-01-05 21:00:00,2.6730000972747803 +13294,2018-01-05 22:00:00,2.884000062942505 +13295,2018-01-05 23:00:00,2.6730000972747803 +13296,2018-01-06 00:00:00,2.74399995803833 +13297,2018-01-06 01:00:00,2.6730000972747803 +13298,2018-01-06 02:00:00,2.321000099182129 +13299,2018-01-06 03:00:00,2.813999891281128 +13300,2018-01-06 04:00:00,1.758999943733215 +13301,2018-01-06 05:00:00,2.1099998950958248 +13302,2018-01-06 06:00:00,0.7739999890327454 +13303,2018-01-06 07:00:00,0.9850000143051147 +13304,2018-01-06 08:00:00,0.915000021457672 +13305,2018-01-06 09:00:00,0.492000013589859 +13306,2018-01-06 10:00:00,1.1959999799728394 +13307,2018-01-06 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02:00:00,-0.7739999890327454 +13827,2018-01-28 03:00:00,-0.915000021457672 +13828,2018-01-28 04:00:00,-0.843999981880188 +13829,2018-01-28 05:00:00,-1.337000012397766 +13830,2018-01-28 06:00:00,-0.915000021457672 +13831,2018-01-28 07:00:00,-0.915000021457672 +13832,2018-01-28 08:00:00,-1.1959999799728394 +13833,2018-01-28 09:00:00,-1.337000012397766 +13834,2018-01-28 10:00:00,-1.4769999980926514 +13835,2018-01-28 11:00:00,-0.915000021457672 +13836,2018-01-28 12:00:00,-1.1959999799728394 +13837,2018-01-28 13:00:00,0.0 +13838,2018-01-28 14:00:00,-0.9850000143051147 +13839,2018-01-28 15:00:00,-0.9850000143051147 +13840,2018-01-28 16:00:00,0.0 +13841,2018-01-28 17:00:00,0.6330000162124634 +13842,2018-01-28 18:00:00,1.0549999475479126 +13843,2018-01-28 19:00:00,0.703000009059906 +13844,2018-01-28 20:00:00,0.0 +13845,2018-01-28 21:00:00,0.0 +13846,2018-01-28 22:00:00,0.0 +13847,2018-01-28 23:00:00,0.0 +13848,2018-01-29 00:00:00,0.0 +13849,2018-01-29 01:00:00,0.5630000233650208 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02:00:00,3.4470000267028813 +14379,2018-02-20 03:00:00,3.6579999923706055 +14380,2018-02-20 04:00:00,3.236000061035156 +14381,2018-02-20 05:00:00,3.5169999599456787 +14382,2018-02-20 06:00:00,2.813999891281128 +14383,2018-02-20 07:00:00,2.461999893188477 +14384,2018-02-20 08:00:00,2.6730000972747803 +14385,2018-02-20 09:00:00,2.6730000972747803 +14386,2018-02-20 10:00:00,1.9700000286102293 +14387,2018-02-20 11:00:00,0.703000009059906 +14388,2018-02-20 12:00:00,0.0 +14389,2018-02-20 13:00:00,0.0 +14390,2018-02-20 14:00:00,0.0 +14391,2018-02-20 15:00:00,0.6330000162124634 +14392,2018-02-20 16:00:00,0.0 +14393,2018-02-20 17:00:00,0.0 +14394,2018-02-20 18:00:00,0.0 +14395,2018-02-20 19:00:00,0.0 +14396,2018-02-20 20:00:00,0.0 +14397,2018-02-20 21:00:00,1.89900004863739 +14398,2018-02-20 22:00:00,2.180999994277954 +14399,2018-02-20 23:00:00,2.321000099182129 +14400,2018-02-21 00:00:00,2.532000064849853 +14401,2018-02-21 01:00:00,2.461999893188477 +14402,2018-02-21 02:00:00,2.813999891281128 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03:00:00,5.135000228881836 +14668,2018-03-04 04:00:00,5.135000228881836 +14669,2018-03-04 05:00:00,5.065000057220459 +14670,2018-03-04 06:00:00,4.7839999198913565 +14671,2018-03-04 07:00:00,5.065000057220459 +14672,2018-03-04 08:00:00,5.627999782562256 +14673,2018-03-04 09:00:00,6.4720001220703125 +14674,2018-03-04 10:00:00,8.090000152587889 +14675,2018-03-04 11:00:00,9.145000457763672 +14676,2018-03-04 12:00:00,9.708000183105469 +14677,2018-03-04 13:00:00,9.496999740600586 +14678,2018-03-04 14:00:00,8.722999572753906 +14679,2018-03-04 15:00:00,7.879000186920166 +14680,2018-03-04 16:00:00,7.456999778747559 +14681,2018-03-04 17:00:00,6.61299991607666 +14682,2018-03-04 18:00:00,5.205999851226807 +14683,2018-03-04 19:00:00,4.501999855041504 +14684,2018-03-04 20:00:00,1.5479999780654907 +14685,2018-03-04 21:00:00,0.0 +14686,2018-03-04 22:00:00,3.588000059127808 +14687,2018-03-04 23:00:00,1.337000012397766 +14688,2018-03-05 00:00:00,0.7739999890327454 +14689,2018-03-05 01:00:00,0.0 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20:00:00,2.180999994277954 +14757,2018-03-07 21:00:00,2.180999994277954 +14758,2018-03-07 22:00:00,2.039999961853028 +14759,2018-03-07 23:00:00,2.74399995803833 +14760,2018-03-08 00:00:00,2.6730000972747803 +14761,2018-03-08 01:00:00,2.532000064849853 +14762,2018-03-08 02:00:00,2.74399995803833 +14763,2018-03-08 03:00:00,4.2210001945495605 +14764,2018-03-08 04:00:00,3.799000024795532 +14765,2018-03-08 05:00:00,4.150000095367432 +14766,2018-03-08 06:00:00,2.884000062942505 +14767,2018-03-08 07:00:00,4.010000228881837 +14768,2018-03-08 08:00:00,3.377000093460083 +14769,2018-03-08 09:00:00,3.377000093460083 +14770,2018-03-08 10:00:00,3.6579999923706055 +14771,2018-03-08 11:00:00,4.150000095367432 +14772,2018-03-08 12:00:00,4.501999855041504 +14773,2018-03-08 13:00:00,4.8540000915527335 +14774,2018-03-08 14:00:00,5.416999816894531 +14775,2018-03-08 15:00:00,4.572999954223633 +14776,2018-03-08 16:00:00,4.572999954223633 +14777,2018-03-08 17:00:00,4.501999855041504 +14778,2018-03-08 18:00:00,4.7129998207092285 +14779,2018-03-08 19:00:00,4.7129998207092285 +14780,2018-03-08 20:00:00,4.7129998207092285 +14781,2018-03-08 21:00:00,5.065000057220459 +14782,2018-03-08 22:00:00,4.7129998207092285 +14783,2018-03-08 23:00:00,4.64300012588501 +14784,2018-03-09 00:00:00,4.501999855041504 +14785,2018-03-09 01:00:00,5.205999851226807 +14786,2018-03-09 02:00:00,4.923999786376953 +14787,2018-03-09 03:00:00,5.276000022888184 +14788,2018-03-09 04:00:00,4.150000095367432 +14789,2018-03-09 05:00:00,4.150000095367432 +14790,2018-03-09 06:00:00,3.799000024795532 +14791,2018-03-09 07:00:00,4.010000228881837 +14792,2018-03-09 08:00:00,4.64300012588501 +14793,2018-03-09 09:00:00,4.079999923706056 +14794,2018-03-09 10:00:00,5.697999954223633 +14795,2018-03-09 11:00:00,5.697999954223633 +14796,2018-03-09 12:00:00,5.205999851226807 +14797,2018-03-09 13:00:00,5.486999988555908 +14798,2018-03-09 14:00:00,6.61299991607666 +14799,2018-03-09 15:00:00,6.964000225067139 +14800,2018-03-09 16:00:00,6.964000225067139 +14801,2018-03-09 17:00:00,7.0349998474121085 +14802,2018-03-09 18:00:00,6.61299991607666 +14803,2018-03-09 19:00:00,5.697999954223633 +14804,2018-03-09 20:00:00,5.486999988555908 +14805,2018-03-09 21:00:00,5.135000228881836 +14806,2018-03-09 22:00:00,5.3460001945495605 +14807,2018-03-09 23:00:00,4.7839999198913565 +14808,2018-03-10 00:00:00,4.8540000915527335 +14809,2018-03-10 01:00:00,5.065000057220459 +14810,2018-03-10 02:00:00,4.64300012588501 +14811,2018-03-10 03:00:00,4.7839999198913565 +14812,2018-03-10 04:00:00,4.64300012588501 +14813,2018-03-10 05:00:00,4.501999855041504 +14814,2018-03-10 06:00:00,4.432000160217285 +14815,2018-03-10 07:00:00,4.572999954223633 +14816,2018-03-10 08:00:00,5.276000022888184 +14817,2018-03-10 09:00:00,5.557000160217285 +14818,2018-03-10 10:00:00,6.964000225067139 +14819,2018-03-10 11:00:00,6.4720001220703125 +14820,2018-03-10 12:00:00,6.541999816894531 +14821,2018-03-10 13:00:00,7.245999813079834 +14822,2018-03-10 14:00:00,9.355999946594238 +14823,2018-03-10 15:00:00,8.51200008392334 +14824,2018-03-10 16:00:00,9.355999946594238 +14825,2018-03-10 17:00:00,9.708000183105469 +14826,2018-03-10 18:00:00,8.86400032043457 +14827,2018-03-10 19:00:00,8.020000457763674 +14828,2018-03-10 20:00:00,7.0349998474121085 +14829,2018-03-10 21:00:00,6.823999881744385 +14830,2018-03-10 22:00:00,6.61299991607666 +14831,2018-03-10 23:00:00,6.401999950408936 +14832,2018-03-11 00:00:00,6.683000087738037 +14833,2018-03-11 01:00:00,6.823999881744385 +14834,2018-03-11 02:00:00,6.894000053405763 +14835,2018-03-11 03:00:00,6.894000053405763 +14836,2018-03-11 04:00:00,6.330999851226808 +14837,2018-03-11 05:00:00,6.330999851226808 +14838,2018-03-11 06:00:00,6.61299991607666 +14839,2018-03-11 07:00:00,5.627999782562256 +14840,2018-03-11 08:00:00,5.839000225067139 +14841,2018-03-11 09:00:00,5.697999954223633 +14842,2018-03-11 10:00:00,7.0349998474121085 +14843,2018-03-11 11:00:00,6.683000087738037 +14844,2018-03-11 12:00:00,7.73799991607666 +14845,2018-03-11 13:00:00,8.300999641418457 +14846,2018-03-11 14:00:00,10.340999603271484 +14847,2018-03-11 15:00:00,9.918999671936035 +14848,2018-03-11 16:00:00,9.708000183105469 +14849,2018-03-11 17:00:00,9.708000183105469 +14850,2018-03-11 18:00:00,8.934000015258789 +14851,2018-03-11 19:00:00,8.51200008392334 +14852,2018-03-11 20:00:00,8.371000289916992 +14853,2018-03-11 21:00:00,7.879000186920166 +14854,2018-03-11 22:00:00,7.526999950408935 +14855,2018-03-11 23:00:00,7.668000221252441 +14856,2018-03-12 00:00:00,8.020000457763674 +14857,2018-03-12 01:00:00,7.948999881744385 +14858,2018-03-12 02:00:00,7.597000122070312 +14859,2018-03-12 03:00:00,7.668000221252441 +14860,2018-03-12 04:00:00,7.948999881744385 +14861,2018-03-12 05:00:00,8.159999847412111 +14862,2018-03-12 06:00:00,7.668000221252441 +14863,2018-03-12 07:00:00,7.456999778747559 +14864,2018-03-12 08:00:00,8.020000457763674 +14865,2018-03-12 09:00:00,8.300999641418457 +14866,2018-03-12 10:00:00,8.86400032043457 +14867,2018-03-12 11:00:00,8.722999572753906 +14868,2018-03-12 12:00:00,9.003999710083008 +14869,2018-03-12 13:00:00,9.355999946594238 +14870,2018-03-12 14:00:00,10.552000045776367 +14871,2018-03-12 15:00:00,10.130000114440918 +14872,2018-03-12 16:00:00,10.482000350952148 +14873,2018-03-12 17:00:00,11.1850004196167 +14874,2018-03-12 18:00:00,10.973999977111816 +14875,2018-03-12 19:00:00,9.918999671936035 +14876,2018-03-12 20:00:00,9.848999977111816 +14877,2018-03-12 21:00:00,9.425999641418455 +14878,2018-03-12 22:00:00,9.28600025177002 +14879,2018-03-12 23:00:00,9.21500015258789 +14880,2018-03-13 00:00:00,9.003999710083008 +14881,2018-03-13 01:00:00,8.722999572753906 +14882,2018-03-13 02:00:00,8.86400032043457 +14883,2018-03-13 03:00:00,8.793000221252441 +14884,2018-03-13 04:00:00,8.722999572753906 +14885,2018-03-13 05:00:00,8.722999572753906 +14886,2018-03-13 06:00:00,8.581999778747559 +14887,2018-03-13 07:00:00,8.230999946594237 +14888,2018-03-13 08:00:00,8.159999847412111 +14889,2018-03-13 09:00:00,9.28600025177002 +14890,2018-03-13 10:00:00,10.973999977111816 +14891,2018-03-13 11:00:00,10.833000183105469 +14892,2018-03-13 12:00:00,10.904000282287598 +14893,2018-03-13 13:00:00,11.607000350952148 +14894,2018-03-13 14:00:00,12.661999702453612 +14895,2018-03-13 15:00:00,11.748000144958494 +14896,2018-03-13 16:00:00,11.326000213623049 +14897,2018-03-13 17:00:00,11.536999702453612 +14898,2018-03-13 18:00:00,12.310999870300291 +14899,2018-03-13 19:00:00,11.888999938964846 +14900,2018-03-13 20:00:00,11.326000213623049 +14901,2018-03-13 21:00:00,11.043999671936035 +14902,2018-03-13 22:00:00,10.904000282287598 +14903,2018-03-13 23:00:00,10.621999740600586 +14904,2018-03-14 00:00:00,10.621999740600586 +14905,2018-03-14 01:00:00,10.482000350952148 +14906,2018-03-14 02:00:00,10.692999839782717 +14907,2018-03-14 03:00:00,10.762999534606934 +14908,2018-03-14 04:00:00,10.762999534606934 +14909,2018-03-14 05:00:00,9.98900032043457 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05:00:00,10.692999839782717 +15174,2018-03-25 06:00:00,10.41100025177002 +15175,2018-03-25 07:00:00,9.98900032043457 +15176,2018-03-25 08:00:00,10.621999740600586 +15177,2018-03-25 09:00:00,10.973999977111816 +15178,2018-03-25 10:00:00,10.270999908447266 +15179,2018-03-25 11:00:00,9.98900032043457 +15180,2018-03-25 12:00:00,10.621999740600586 +15181,2018-03-25 13:00:00,10.340999603271484 +15182,2018-03-25 14:00:00,10.762999534606934 +15183,2018-03-25 15:00:00,10.904000282287598 +15184,2018-03-25 16:00:00,10.833000183105469 +15185,2018-03-25 17:00:00,10.973999977111816 +15186,2018-03-25 18:00:00,11.467000007629396 +15187,2018-03-25 19:00:00,10.340999603271484 +15188,2018-03-25 20:00:00,10.621999740600586 +15189,2018-03-25 21:00:00,10.552000045776367 +15190,2018-03-25 22:00:00,10.482000350952148 +15191,2018-03-25 23:00:00,10.482000350952148 +15192,2018-03-26 00:00:00,10.130000114440918 +15193,2018-03-26 01:00:00,9.918999671936035 +15194,2018-03-26 02:00:00,10.833000183105469 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00:00:00,10.621999740600586 +15217,2018-03-27 01:00:00,10.692999839782717 +15218,2018-03-27 02:00:00,10.340999603271484 +15219,2018-03-27 03:00:00,10.621999740600586 +15220,2018-03-27 04:00:00,10.482000350952148 +15221,2018-03-27 05:00:00,10.270999908447266 +15222,2018-03-27 06:00:00,10.482000350952148 +15223,2018-03-27 07:00:00,10.340999603271484 +15224,2018-03-27 08:00:00,11.326000213623049 +15225,2018-03-27 09:00:00,11.043999671936035 +15226,2018-03-27 10:00:00,11.888999938964846 +15227,2018-03-27 11:00:00,12.029000282287598 +15228,2018-03-27 12:00:00,11.536999702453612 +15229,2018-03-27 13:00:00,11.536999702453612 +15230,2018-03-27 14:00:00,13.013999938964846 +15231,2018-03-27 15:00:00,13.085000038146973 +15232,2018-03-27 16:00:00,13.57699966430664 +15233,2018-03-27 17:00:00,13.647000312805176 +15234,2018-03-27 18:00:00,12.87399959564209 +15235,2018-03-27 19:00:00,11.536999702453612 +15236,2018-03-27 20:00:00,10.833000183105469 +15237,2018-03-27 21:00:00,10.482000350952148 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14:00:00,5.76800012588501 +15327,2018-03-31 15:00:00,5.76800012588501 +15328,2018-03-31 16:00:00,5.76800012588501 +15329,2018-03-31 17:00:00,5.76800012588501 +15330,2018-03-31 18:00:00,5.76800012588501 +15331,2018-03-31 19:00:00,5.76800012588501 +15332,2018-03-31 20:00:00,5.76800012588501 +15333,2018-03-31 21:00:00,5.76800012588501 +15334,2018-03-31 22:00:00,5.76800012588501 +15335,2018-03-31 23:00:00,5.76800012588501 +15336,2018-04-01 00:00:00,9.003999710083008 +15337,2018-04-01 01:00:00,9.21500015258789 +15338,2018-04-01 02:00:00,9.003999710083008 +15339,2018-04-01 03:00:00,8.652999877929688 +15340,2018-04-01 04:00:00,9.21500015258789 +15341,2018-04-01 05:00:00,9.21500015258789 +15342,2018-04-01 06:00:00,9.425999641418455 +15343,2018-04-01 07:00:00,9.56700038909912 +15344,2018-04-01 08:00:00,10.199999809265137 +15345,2018-04-01 09:00:00,10.692999839782717 +15346,2018-04-01 10:00:00,11.114999771118164 +15347,2018-04-01 11:00:00,10.973999977111816 +15348,2018-04-01 12:00:00,10.762999534606934 +15349,2018-04-01 13:00:00,11.607000350952148 +15350,2018-04-01 14:00:00,11.255999565124512 +15351,2018-04-01 15:00:00,12.944000244140623 +15352,2018-04-01 16:00:00,12.732999801635742 +15353,2018-04-01 17:00:00,11.817999839782717 +15354,2018-04-01 18:00:00,11.748000144958494 +15355,2018-04-01 19:00:00,10.762999534606934 +15356,2018-04-01 20:00:00,10.692999839782717 +15357,2018-04-01 21:00:00,10.552000045776367 +15358,2018-04-01 22:00:00,10.482000350952148 +15359,2018-04-01 23:00:00,10.130000114440918 +15360,2018-04-02 00:00:00,9.708000183105469 +15361,2018-04-02 01:00:00,10.199999809265137 +15362,2018-04-02 02:00:00,10.482000350952148 +15363,2018-04-02 03:00:00,10.833000183105469 +15364,2018-04-02 04:00:00,10.340999603271484 +15365,2018-04-02 05:00:00,10.340999603271484 +15366,2018-04-02 06:00:00,10.0600004196167 +15367,2018-04-02 07:00:00,10.482000350952148 +15368,2018-04-02 08:00:00,9.637999534606934 +15369,2018-04-02 09:00:00,10.552000045776367 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05:00:00,7.105000019073486 +15414,2018-04-04 06:00:00,6.61299991607666 +15415,2018-04-04 07:00:00,5.135000228881836 +15416,2018-04-04 08:00:00,5.3460001945495605 +15417,2018-04-04 09:00:00,5.065000057220459 +15418,2018-04-04 10:00:00,5.276000022888184 +15419,2018-04-04 11:00:00,5.276000022888184 +15420,2018-04-04 12:00:00,5.065000057220459 +15421,2018-04-04 13:00:00,4.572999954223633 +15422,2018-04-04 14:00:00,4.290999889373778 +15423,2018-04-04 15:00:00,4.432000160217285 +15424,2018-04-04 16:00:00,4.2210001945495605 +15425,2018-04-04 17:00:00,4.079999923706056 +15426,2018-04-04 18:00:00,3.799000024795532 +15427,2018-04-04 19:00:00,3.6579999923706055 +15428,2018-04-04 20:00:00,3.799000024795532 +15429,2018-04-04 21:00:00,3.799000024795532 +15430,2018-04-04 22:00:00,3.86899995803833 +15431,2018-04-04 23:00:00,3.938999891281128 +15432,2018-04-05 00:00:00,3.6579999923706055 +15433,2018-04-05 01:00:00,3.799000024795532 +15434,2018-04-05 02:00:00,3.86899995803833 +15435,2018-04-05 03:00:00,3.799000024795532 +15436,2018-04-05 04:00:00,4.361999988555908 +15437,2018-04-05 05:00:00,3.6579999923706055 +15438,2018-04-05 06:00:00,4.2210001945495605 +15439,2018-04-05 07:00:00,3.5169999599456787 +15440,2018-04-05 08:00:00,3.095000028610228 +15441,2018-04-05 09:00:00,0.421999990940094 +15442,2018-04-05 10:00:00,0.0 +15443,2018-04-05 11:00:00,-0.6330000162124634 +15444,2018-04-05 12:00:00,-0.703000009059906 +15445,2018-04-05 13:00:00,0.0 +15446,2018-04-05 14:00:00,-0.6330000162124634 +15447,2018-04-05 15:00:00,-0.915000021457672 +15448,2018-04-05 16:00:00,0.0 +15449,2018-04-05 17:00:00,0.5630000233650208 +15450,2018-04-05 18:00:00,1.758999943733215 +15451,2018-04-05 19:00:00,0.5630000233650208 +15452,2018-04-05 20:00:00,0.0 +15453,2018-04-05 21:00:00,2.039999961853028 +15454,2018-04-05 22:00:00,0.492000013589859 +15455,2018-04-05 23:00:00,1.1260000467300415 +15456,2018-04-06 00:00:00,0.9850000143051147 +15457,2018-04-06 01:00:00,0.0 +15458,2018-04-06 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13:00:00,10.340999603271484 +15590,2018-04-11 14:00:00,10.973999977111816 +15591,2018-04-11 15:00:00,10.973999977111816 +15592,2018-04-11 16:00:00,10.762999534606934 +15593,2018-04-11 17:00:00,9.777999877929688 +15594,2018-04-11 18:00:00,9.425999641418455 +15595,2018-04-11 19:00:00,8.722999572753906 +15596,2018-04-11 20:00:00,7.879000186920166 +15597,2018-04-11 21:00:00,7.668000221252441 +15598,2018-04-11 22:00:00,7.386000156402588 +15599,2018-04-11 23:00:00,6.964000225067139 +15600,2018-04-12 00:00:00,6.964000225067139 +15601,2018-04-12 01:00:00,6.61299991607666 +15602,2018-04-12 02:00:00,6.61299991607666 +15603,2018-04-12 03:00:00,6.050000190734862 +15604,2018-04-12 04:00:00,6.401999950408936 +15605,2018-04-12 05:00:00,5.908999919891357 +15606,2018-04-12 06:00:00,5.76800012588501 +15607,2018-04-12 07:00:00,5.627999782562256 +15608,2018-04-12 08:00:00,5.908999919891357 +15609,2018-04-12 09:00:00,5.908999919891357 +15610,2018-04-12 10:00:00,5.9790000915527335 +15611,2018-04-12 11:00:00,6.330999851226808 +15612,2018-04-12 12:00:00,6.4720001220703125 +15613,2018-04-12 13:00:00,6.050000190734862 +15614,2018-04-12 14:00:00,6.541999816894531 +15615,2018-04-12 15:00:00,6.4720001220703125 +15616,2018-04-12 16:00:00,6.330999851226808 +15617,2018-04-12 17:00:00,5.76800012588501 +15618,2018-04-12 18:00:00,5.627999782562256 +15619,2018-04-12 19:00:00,5.3460001945495605 +15620,2018-04-12 20:00:00,4.8540000915527335 +15621,2018-04-12 21:00:00,5.135000228881836 +15622,2018-04-12 22:00:00,4.994999885559082 +15623,2018-04-12 23:00:00,4.64300012588501 +15624,2018-04-13 00:00:00,4.994999885559082 +15625,2018-04-13 01:00:00,4.923999786376953 +15626,2018-04-13 02:00:00,4.7839999198913565 +15627,2018-04-13 03:00:00,4.8540000915527335 +15628,2018-04-13 04:00:00,4.8540000915527335 +15629,2018-04-13 05:00:00,4.7839999198913565 +15630,2018-04-13 06:00:00,4.7129998207092285 +15631,2018-04-13 07:00:00,4.572999954223633 +15632,2018-04-13 08:00:00,4.290999889373778 +15633,2018-04-13 09:00:00,4.290999889373778 +15634,2018-04-13 10:00:00,4.361999988555908 +15635,2018-04-13 11:00:00,4.572999954223633 +15636,2018-04-13 12:00:00,5.065000057220459 +15637,2018-04-13 13:00:00,4.64300012588501 +15638,2018-04-13 14:00:00,4.8540000915527335 +15639,2018-04-13 15:00:00,5.276000022888184 +15640,2018-04-13 16:00:00,4.8540000915527335 +15641,2018-04-13 17:00:00,5.839000225067139 +15642,2018-04-13 18:00:00,4.572999954223633 +15643,2018-04-13 19:00:00,3.095000028610228 +15644,2018-04-13 20:00:00,3.799000024795532 +15645,2018-04-13 21:00:00,4.8540000915527335 +15646,2018-04-13 22:00:00,3.095000028610228 +15647,2018-04-13 23:00:00,3.588000059127808 +15648,2018-04-14 00:00:00,4.290999889373778 +15649,2018-04-14 01:00:00,4.361999988555908 +15650,2018-04-14 02:00:00,4.150000095367432 +15651,2018-04-14 03:00:00,4.64300012588501 +15652,2018-04-14 04:00:00,5.205999851226807 +15653,2018-04-14 05:00:00,4.8540000915527335 +15654,2018-04-14 06:00:00,5.205999851226807 +15655,2018-04-14 07:00:00,4.8540000915527335 +15656,2018-04-14 08:00:00,4.923999786376953 +15657,2018-04-14 09:00:00,3.4470000267028813 +15658,2018-04-14 10:00:00,4.361999988555908 +15659,2018-04-14 11:00:00,3.799000024795532 +15660,2018-04-14 12:00:00,3.799000024795532 +15661,2018-04-14 13:00:00,3.938999891281128 +15662,2018-04-14 14:00:00,4.010000228881837 +15663,2018-04-14 15:00:00,4.432000160217285 +15664,2018-04-14 16:00:00,5.3460001945495605 +15665,2018-04-14 17:00:00,5.205999851226807 +15666,2018-04-14 18:00:00,5.416999816894531 +15667,2018-04-14 19:00:00,5.065000057220459 +15668,2018-04-14 20:00:00,4.923999786376953 +15669,2018-04-14 21:00:00,3.86899995803833 +15670,2018-04-14 22:00:00,4.361999988555908 +15671,2018-04-14 23:00:00,4.501999855041504 +15672,2018-04-15 00:00:00,4.8540000915527335 +15673,2018-04-15 01:00:00,5.3460001945495605 +15674,2018-04-15 02:00:00,4.64300012588501 +15675,2018-04-15 03:00:00,4.8540000915527335 +15676,2018-04-15 04:00:00,5.135000228881836 +15677,2018-04-15 05:00:00,5.276000022888184 +15678,2018-04-15 06:00:00,5.135000228881836 +15679,2018-04-15 07:00:00,5.76800012588501 +15680,2018-04-15 08:00:00,4.8540000915527335 +15681,2018-04-15 09:00:00,5.9790000915527335 +15682,2018-04-15 10:00:00,6.261000156402588 +15683,2018-04-15 11:00:00,6.190999984741211 +15684,2018-04-15 12:00:00,6.61299991607666 +15685,2018-04-15 13:00:00,6.823999881744385 +15686,2018-04-15 14:00:00,8.300999641418457 +15687,2018-04-15 15:00:00,8.722999572753906 +15688,2018-04-15 16:00:00,9.425999641418455 +15689,2018-04-15 17:00:00,9.355999946594238 +15690,2018-04-15 18:00:00,8.722999572753906 +15691,2018-04-15 19:00:00,7.809000015258789 +15692,2018-04-15 20:00:00,6.964000225067139 +15693,2018-04-15 21:00:00,6.261000156402588 +15694,2018-04-15 22:00:00,6.050000190734862 +15695,2018-04-15 23:00:00,6.050000190734862 +15696,2018-04-16 00:00:00,6.823999881744385 +15697,2018-04-16 01:00:00,6.4720001220703125 +15698,2018-04-16 02:00:00,6.61299991607666 +15699,2018-04-16 03:00:00,6.541999816894531 +15700,2018-04-16 04:00:00,6.401999950408936 +15701,2018-04-16 05:00:00,5.908999919891357 +15702,2018-04-16 06:00:00,6.190999984741211 +15703,2018-04-16 07:00:00,6.330999851226808 +15704,2018-04-16 08:00:00,6.541999816894531 +15705,2018-04-16 09:00:00,6.683000087738037 +15706,2018-04-16 10:00:00,6.964000225067139 +15707,2018-04-16 11:00:00,7.315999984741211 +15708,2018-04-16 12:00:00,6.964000225067139 +15709,2018-04-16 13:00:00,7.245999813079834 +15710,2018-04-16 14:00:00,8.020000457763674 +15711,2018-04-16 15:00:00,8.652999877929688 +15712,2018-04-16 16:00:00,9.003999710083008 +15713,2018-04-16 17:00:00,8.51200008392334 +15714,2018-04-16 18:00:00,7.73799991607666 +15715,2018-04-16 19:00:00,7.668000221252441 +15716,2018-04-16 20:00:00,6.894000053405763 +15717,2018-04-16 21:00:00,6.823999881744385 +15718,2018-04-16 22:00:00,6.894000053405763 +15719,2018-04-16 23:00:00,6.190999984741211 +15720,2018-04-17 00:00:00,5.908999919891357 +15721,2018-04-17 01:00:00,6.261000156402588 +15722,2018-04-17 02:00:00,6.261000156402588 +15723,2018-04-17 03:00:00,5.908999919891357 +15724,2018-04-17 04:00:00,6.261000156402588 +15725,2018-04-17 05:00:00,5.76800012588501 +15726,2018-04-17 06:00:00,5.76800012588501 +15727,2018-04-17 07:00:00,6.683000087738037 +15728,2018-04-17 08:00:00,7.245999813079834 +15729,2018-04-17 09:00:00,8.159999847412111 +15730,2018-04-17 10:00:00,8.86400032043457 +15731,2018-04-17 11:00:00,7.879000186920166 +15732,2018-04-17 12:00:00,8.090000152587889 +15733,2018-04-17 13:00:00,8.934000015258789 +15734,2018-04-17 14:00:00,9.56700038909912 +15735,2018-04-17 15:00:00,10.270999908447266 +15736,2018-04-17 16:00:00,10.904000282287598 +15737,2018-04-17 17:00:00,10.904000282287598 +15738,2018-04-17 18:00:00,10.621999740600586 +15739,2018-04-17 19:00:00,8.934000015258789 +15740,2018-04-17 20:00:00,8.090000152587889 +15741,2018-04-17 21:00:00,8.159999847412111 +15742,2018-04-17 22:00:00,7.948999881744385 +15743,2018-04-17 23:00:00,7.668000221252441 +15744,2018-04-18 00:00:00,7.456999778747559 +15745,2018-04-18 01:00:00,7.245999813079834 +15746,2018-04-18 02:00:00,7.386000156402588 +15747,2018-04-18 03:00:00,7.245999813079834 +15748,2018-04-18 04:00:00,7.245999813079834 +15749,2018-04-18 05:00:00,7.245999813079834 +15750,2018-04-18 06:00:00,6.964000225067139 +15751,2018-04-18 07:00:00,7.73799991607666 +15752,2018-04-18 08:00:00,9.145000457763672 +15753,2018-04-18 09:00:00,8.722999572753906 +15754,2018-04-18 10:00:00,9.637999534606934 +15755,2018-04-18 11:00:00,9.21500015258789 +15756,2018-04-18 12:00:00,9.28600025177002 +15757,2018-04-18 13:00:00,9.98900032043457 +15758,2018-04-18 14:00:00,11.1850004196167 +15759,2018-04-18 15:00:00,11.536999702453612 +15760,2018-04-18 16:00:00,12.310999870300291 +15761,2018-04-18 17:00:00,12.661999702453612 +15762,2018-04-18 18:00:00,11.817999839782717 +15763,2018-04-18 19:00:00,10.130000114440918 +15764,2018-04-18 20:00:00,9.98900032043457 +15765,2018-04-18 21:00:00,9.355999946594238 +15766,2018-04-18 22:00:00,9.003999710083008 +15767,2018-04-18 23:00:00,8.934000015258789 +15768,2018-04-19 00:00:00,8.51200008392334 +15769,2018-04-19 01:00:00,8.442000389099121 +15770,2018-04-19 02:00:00,8.371000289916992 +15771,2018-04-19 03:00:00,8.230999946594237 +15772,2018-04-19 04:00:00,8.020000457763674 +15773,2018-04-19 05:00:00,8.020000457763674 +15774,2018-04-19 06:00:00,7.526999950408935 +15775,2018-04-19 07:00:00,8.090000152587889 +15776,2018-04-19 08:00:00,9.074999809265137 +15777,2018-04-19 09:00:00,9.28600025177002 +15778,2018-04-19 10:00:00,9.918999671936035 +15779,2018-04-19 11:00:00,9.777999877929688 +15780,2018-04-19 12:00:00,10.270999908447266 +15781,2018-04-19 13:00:00,11.043999671936035 +15782,2018-04-19 14:00:00,11.888999938964846 +15783,2018-04-19 15:00:00,12.592000007629396 +15784,2018-04-19 16:00:00,12.522000312805176 +15785,2018-04-19 17:00:00,12.170000076293944 +15786,2018-04-19 18:00:00,11.607000350952148 +15787,2018-04-19 19:00:00,10.41100025177002 +15788,2018-04-19 20:00:00,9.848999977111816 +15789,2018-04-19 21:00:00,9.355999946594238 +15790,2018-04-19 22:00:00,8.934000015258789 +15791,2018-04-19 23:00:00,8.51200008392334 +15792,2018-04-20 00:00:00,8.51200008392334 +15793,2018-04-20 01:00:00,8.652999877929688 +15794,2018-04-20 02:00:00,8.793000221252441 +15795,2018-04-20 03:00:00,8.371000289916992 +15796,2018-04-20 04:00:00,8.300999641418457 +15797,2018-04-20 05:00:00,8.090000152587889 +15798,2018-04-20 06:00:00,8.371000289916992 +15799,2018-04-20 07:00:00,9.145000457763672 +15800,2018-04-20 08:00:00,9.003999710083008 +15801,2018-04-20 09:00:00,8.86400032043457 +15802,2018-04-20 10:00:00,9.496999740600586 +15803,2018-04-20 11:00:00,9.98900032043457 +15804,2018-04-20 12:00:00,10.340999603271484 +15805,2018-04-20 13:00:00,11.748000144958494 +15806,2018-04-20 14:00:00,12.380999565124512 +15807,2018-04-20 15:00:00,12.944000244140623 +15808,2018-04-20 16:00:00,13.435999870300291 +15809,2018-04-20 17:00:00,12.87399959564209 +15810,2018-04-20 18:00:00,12.239999771118164 +15811,2018-04-20 19:00:00,11.748000144958494 +15812,2018-04-20 20:00:00,11.255999565124512 +15813,2018-04-20 21:00:00,11.888999938964846 +15814,2018-04-20 22:00:00,11.043999671936035 +15815,2018-04-20 23:00:00,10.904000282287598 +15816,2018-04-21 00:00:00,10.973999977111816 +15817,2018-04-21 01:00:00,10.904000282287598 +15818,2018-04-21 02:00:00,11.326000213623049 +15819,2018-04-21 03:00:00,10.340999603271484 +15820,2018-04-21 04:00:00,9.56700038909912 +15821,2018-04-21 05:00:00,10.270999908447266 +15822,2018-04-21 06:00:00,10.340999603271484 +15823,2018-04-21 07:00:00,10.340999603271484 +15824,2018-04-21 08:00:00,10.0600004196167 +15825,2018-04-21 09:00:00,10.621999740600586 +15826,2018-04-21 10:00:00,10.762999534606934 +15827,2018-04-21 11:00:00,10.482000350952148 +15828,2018-04-21 12:00:00,11.255999565124512 +15829,2018-04-21 13:00:00,11.255999565124512 +15830,2018-04-21 14:00:00,9.777999877929688 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00:00:00,10.833000183105469 +15985,2018-04-28 01:00:00,10.692999839782717 +15986,2018-04-28 02:00:00,10.973999977111816 +15987,2018-04-28 03:00:00,9.56700038909912 +15988,2018-04-28 04:00:00,9.56700038909912 +15989,2018-04-28 05:00:00,9.496999740600586 +15990,2018-04-28 06:00:00,9.496999740600586 +15991,2018-04-28 07:00:00,9.637999534606934 +15992,2018-04-28 08:00:00,10.199999809265137 +15993,2018-04-28 09:00:00,10.0600004196167 +15994,2018-04-28 10:00:00,10.833000183105469 +15995,2018-04-28 11:00:00,10.833000183105469 +15996,2018-04-28 12:00:00,11.326000213623049 +15997,2018-04-28 13:00:00,11.817999839782717 +15998,2018-04-28 14:00:00,12.803000450134276 +15999,2018-04-28 15:00:00,13.225000381469728 +16000,2018-04-28 16:00:00,13.928999900817873 +16001,2018-04-28 17:00:00,13.085000038146973 +16002,2018-04-28 18:00:00,12.592000007629396 +16003,2018-04-28 19:00:00,11.817999839782717 +16004,2018-04-28 20:00:00,11.536999702453612 +16005,2018-04-28 21:00:00,11.114999771118164 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19:00:00,12.732999801635742 +16028,2018-04-29 20:00:00,12.661999702453612 +16029,2018-04-29 21:00:00,12.451000213623049 +16030,2018-04-29 22:00:00,12.522000312805176 +16031,2018-04-29 23:00:00,12.380999565124512 +16032,2018-04-30 00:00:00,12.732999801635742 +16033,2018-04-30 01:00:00,12.522000312805176 +16034,2018-04-30 02:00:00,12.100000381469728 +16035,2018-04-30 03:00:00,11.678000450134276 +16036,2018-04-30 04:00:00,11.888999938964846 +16037,2018-04-30 05:00:00,12.592000007629396 +16038,2018-04-30 06:00:00,12.732999801635742 +16039,2018-04-30 07:00:00,12.944000244140623 +16040,2018-04-30 08:00:00,12.87399959564209 +16041,2018-04-30 09:00:00,12.522000312805176 +16042,2018-04-30 10:00:00,13.718000411987305 +16043,2018-04-30 11:00:00,13.647000312805176 +16044,2018-04-30 12:00:00,14.562000274658203 +16045,2018-04-30 13:00:00,14.843000411987305 +16046,2018-04-30 14:00:00,15.053999900817873 +16047,2018-04-30 15:00:00,15.89799976348877 +16048,2018-04-30 16:00:00,16.812999725341793 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14:00:00,12.732999801635742 +16071,2018-05-01 15:00:00,13.506999969482422 +16072,2018-05-01 16:00:00,13.435999870300291 +16073,2018-05-01 17:00:00,13.647000312805176 +16074,2018-05-01 18:00:00,7.526999950408935 +16075,2018-05-01 19:00:00,5.76800012588501 +16076,2018-05-01 20:00:00,8.020000457763674 +16077,2018-05-01 21:00:00,9.777999877929688 +16078,2018-05-01 22:00:00,10.833000183105469 +16079,2018-05-01 23:00:00,10.482000350952148 +16080,2018-05-02 00:00:00,10.482000350952148 +16081,2018-05-02 01:00:00,10.340999603271484 +16082,2018-05-02 02:00:00,10.199999809265137 +16083,2018-05-02 03:00:00,10.0600004196167 +16084,2018-05-02 04:00:00,9.56700038909912 +16085,2018-05-02 05:00:00,9.637999534606934 +16086,2018-05-02 06:00:00,10.130000114440918 +16087,2018-05-02 07:00:00,9.21500015258789 +16088,2018-05-02 08:00:00,9.21500015258789 +16089,2018-05-02 09:00:00,9.708000183105469 +16090,2018-05-02 10:00:00,9.28600025177002 +16091,2018-05-02 11:00:00,9.425999641418455 +16092,2018-05-02 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12:00:00,11.043999671936035 +16333,2018-05-12 13:00:00,10.621999740600586 +16334,2018-05-12 14:00:00,10.833000183105469 +16335,2018-05-12 15:00:00,10.692999839782717 +16336,2018-05-12 16:00:00,10.904000282287598 +16337,2018-05-12 17:00:00,10.552000045776367 +16338,2018-05-12 18:00:00,11.114999771118164 +16339,2018-05-12 19:00:00,11.043999671936035 +16340,2018-05-12 20:00:00,10.692999839782717 +16341,2018-05-12 21:00:00,10.270999908447266 +16342,2018-05-12 22:00:00,10.130000114440918 +16343,2018-05-12 23:00:00,10.340999603271484 +16344,2018-05-13 00:00:00,10.482000350952148 +16345,2018-05-13 01:00:00,10.340999603271484 +16346,2018-05-13 02:00:00,9.918999671936035 +16347,2018-05-13 03:00:00,9.98900032043457 +16348,2018-05-13 04:00:00,10.199999809265137 +16349,2018-05-13 05:00:00,9.98900032043457 +16350,2018-05-13 06:00:00,10.270999908447266 +16351,2018-05-13 07:00:00,10.833000183105469 +16352,2018-05-13 08:00:00,10.552000045776367 +16353,2018-05-13 09:00:00,11.326000213623049 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07:00:00,12.451000213623049 +16376,2018-05-14 08:00:00,13.225000381469728 +16377,2018-05-14 09:00:00,13.366000175476074 +16378,2018-05-14 10:00:00,13.718000411987305 +16379,2018-05-14 11:00:00,14.70300006866455 +16380,2018-05-14 12:00:00,13.99899959564209 +16381,2018-05-14 13:00:00,14.70300006866455 +16382,2018-05-14 14:00:00,15.053999900817873 +16383,2018-05-14 15:00:00,16.812999725341793 +16384,2018-05-14 16:00:00,16.320999145507812 +16385,2018-05-14 17:00:00,16.601999282836914 +16386,2018-05-14 18:00:00,16.180000305175778 +16387,2018-05-14 19:00:00,15.758000373840332 +16388,2018-05-14 20:00:00,15.336000442504885 +16389,2018-05-14 21:00:00,15.336000442504885 +16390,2018-05-14 22:00:00,14.984000205993652 +16391,2018-05-14 23:00:00,14.70300006866455 +16392,2018-05-15 00:00:00,14.562000274658203 +16393,2018-05-15 01:00:00,14.140000343322756 +16394,2018-05-15 02:00:00,14.491000175476074 +16395,2018-05-15 03:00:00,14.562000274658203 +16396,2018-05-15 04:00:00,14.279999732971191 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03:00:00,16.108999252319336 +16420,2018-05-16 04:00:00,16.25 +16421,2018-05-16 05:00:00,16.461000442504886 +16422,2018-05-16 06:00:00,16.882999420166016 +16423,2018-05-16 07:00:00,16.672000885009766 +16424,2018-05-16 08:00:00,15.687000274658203 +16425,2018-05-16 09:00:00,14.843000411987305 +16426,2018-05-16 10:00:00,15.336000442504885 +16427,2018-05-16 11:00:00,14.984000205993652 +16428,2018-05-16 12:00:00,14.70300006866455 +16429,2018-05-16 13:00:00,14.984000205993652 +16430,2018-05-16 14:00:00,15.687000274658203 +16431,2018-05-16 15:00:00,16.743000030517578 +16432,2018-05-16 16:00:00,16.108999252319336 +16433,2018-05-16 17:00:00,16.320999145507812 +16434,2018-05-16 18:00:00,15.82800006866455 +16435,2018-05-16 19:00:00,15.54699993133545 +16436,2018-05-16 20:00:00,16.320999145507812 +16437,2018-05-16 21:00:00,16.038999557495114 +16438,2018-05-16 22:00:00,16.672000885009766 +16439,2018-05-16 23:00:00,15.053999900817873 +16440,2018-05-17 00:00:00,16.108999252319336 +16441,2018-05-17 01:00:00,16.601999282836914 +16442,2018-05-17 02:00:00,14.631999969482422 +16443,2018-05-17 03:00:00,12.239999771118164 +16444,2018-05-17 04:00:00,9.708000183105469 +16445,2018-05-17 05:00:00,8.652999877929688 +16446,2018-05-17 06:00:00,9.98900032043457 +16447,2018-05-17 07:00:00,10.973999977111816 +16448,2018-05-17 08:00:00,8.090000152587889 +16449,2018-05-17 09:00:00,11.326000213623049 +16450,2018-05-17 10:00:00,12.380999565124512 +16451,2018-05-17 11:00:00,13.154999732971191 +16452,2018-05-17 12:00:00,12.522000312805176 +16453,2018-05-17 13:00:00,13.013999938964846 +16454,2018-05-17 14:00:00,13.506999969482422 +16455,2018-05-17 15:00:00,13.506999969482422 +16456,2018-05-17 16:00:00,13.99899959564209 +16457,2018-05-17 17:00:00,13.788000106811523 +16458,2018-05-17 18:00:00,14.140000343322756 +16459,2018-05-17 19:00:00,13.788000106811523 +16460,2018-05-17 20:00:00,13.506999969482422 +16461,2018-05-17 21:00:00,13.154999732971191 +16462,2018-05-17 22:00:00,13.435999870300291 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20:00:00,6.401999950408936 +16485,2018-05-18 21:00:00,8.300999641418457 +16486,2018-05-18 22:00:00,8.652999877929688 +16487,2018-05-18 23:00:00,8.51200008392334 +16488,2018-05-19 00:00:00,8.51200008392334 +16489,2018-05-19 01:00:00,8.51200008392334 +16490,2018-05-19 02:00:00,8.230999946594237 +16491,2018-05-19 03:00:00,8.51200008392334 +16492,2018-05-19 04:00:00,7.809000015258789 +16493,2018-05-19 05:00:00,7.73799991607666 +16494,2018-05-19 06:00:00,7.73799991607666 +16495,2018-05-19 07:00:00,7.948999881744385 +16496,2018-05-19 08:00:00,7.879000186920166 +16497,2018-05-19 09:00:00,7.105000019073486 +16498,2018-05-19 10:00:00,7.597000122070312 +16499,2018-05-19 11:00:00,7.456999778747559 +16500,2018-05-19 12:00:00,7.809000015258789 +16501,2018-05-19 13:00:00,7.879000186920166 +16502,2018-05-19 14:00:00,8.020000457763674 +16503,2018-05-19 15:00:00,7.668000221252441 +16504,2018-05-19 16:00:00,7.456999778747559 +16505,2018-05-19 17:00:00,7.0349998474121085 +16506,2018-05-19 18:00:00,7.175000190734862 +16507,2018-05-19 19:00:00,7.0349998474121085 +16508,2018-05-19 20:00:00,6.894000053405763 +16509,2018-05-19 21:00:00,7.386000156402588 +16510,2018-05-19 22:00:00,7.315999984741211 +16511,2018-05-19 23:00:00,7.105000019073486 +16512,2018-05-20 00:00:00,7.105000019073486 +16513,2018-05-20 01:00:00,7.105000019073486 +16514,2018-05-20 02:00:00,6.964000225067139 +16515,2018-05-20 03:00:00,6.752999782562256 +16516,2018-05-20 04:00:00,6.823999881744385 +16517,2018-05-20 05:00:00,6.823999881744385 +16518,2018-05-20 06:00:00,6.752999782562256 +16519,2018-05-20 07:00:00,6.823999881744385 +16520,2018-05-20 08:00:00,7.105000019073486 +16521,2018-05-20 09:00:00,7.245999813079834 +16522,2018-05-20 10:00:00,7.386000156402588 +16523,2018-05-20 11:00:00,7.175000190734862 +16524,2018-05-20 12:00:00,6.964000225067139 +16525,2018-05-20 13:00:00,6.823999881744385 +16526,2018-05-20 14:00:00,6.683000087738037 +16527,2018-05-20 15:00:00,6.330999851226808 +16528,2018-05-20 16:00:00,6.541999816894531 +16529,2018-05-20 17:00:00,4.361999988555908 +16530,2018-05-20 18:00:00,5.557000160217285 +16531,2018-05-20 19:00:00,5.627999782562256 +16532,2018-05-20 20:00:00,5.9790000915527335 +16533,2018-05-20 21:00:00,5.697999954223633 +16534,2018-05-20 22:00:00,5.908999919891357 +16535,2018-05-20 23:00:00,5.76800012588501 +16536,2018-05-21 00:00:00,5.697999954223633 +16537,2018-05-21 01:00:00,5.416999816894531 +16538,2018-05-21 02:00:00,5.76800012588501 +16539,2018-05-21 03:00:00,5.627999782562256 +16540,2018-05-21 04:00:00,5.697999954223633 +16541,2018-05-21 05:00:00,6.050000190734862 +16542,2018-05-21 06:00:00,5.908999919891357 +16543,2018-05-21 07:00:00,5.9790000915527335 +16544,2018-05-21 08:00:00,6.050000190734862 +16545,2018-05-21 09:00:00,6.4720001220703125 +16546,2018-05-21 10:00:00,6.401999950408936 +16547,2018-05-21 11:00:00,6.401999950408936 +16548,2018-05-21 12:00:00,6.752999782562256 +16549,2018-05-21 13:00:00,7.105000019073486 +16550,2018-05-21 14:00:00,7.175000190734862 +16551,2018-05-21 15:00:00,7.315999984741211 +16552,2018-05-21 16:00:00,5.627999782562256 +16553,2018-05-21 17:00:00,4.432000160217285 +16554,2018-05-21 18:00:00,6.4720001220703125 +16555,2018-05-21 19:00:00,6.4720001220703125 +16556,2018-05-21 20:00:00,6.894000053405763 +16557,2018-05-21 21:00:00,6.61299991607666 +16558,2018-05-21 22:00:00,6.894000053405763 +16559,2018-05-21 23:00:00,6.683000087738037 +16560,2018-05-22 00:00:00,6.964000225067139 +16561,2018-05-22 01:00:00,7.315999984741211 +16562,2018-05-22 02:00:00,7.456999778747559 +16563,2018-05-22 03:00:00,7.879000186920166 +16564,2018-05-22 04:00:00,8.300999641418457 +16565,2018-05-22 05:00:00,9.003999710083008 +16566,2018-05-22 06:00:00,9.145000457763672 +16567,2018-05-22 07:00:00,7.456999778747559 +16568,2018-05-22 08:00:00,6.823999881744385 +16569,2018-05-22 09:00:00,6.683000087738037 +16570,2018-05-22 10:00:00,6.401999950408936 +16571,2018-05-22 11:00:00,3.7279999256134033 +16572,2018-05-22 12:00:00,4.150000095367432 +16573,2018-05-22 13:00:00,6.541999816894531 +16574,2018-05-22 14:00:00,6.964000225067139 +16575,2018-05-22 15:00:00,6.261000156402588 +16576,2018-05-22 16:00:00,6.119999885559082 +16577,2018-05-22 17:00:00,6.894000053405763 +16578,2018-05-22 18:00:00,6.261000156402588 +16579,2018-05-22 19:00:00,7.0349998474121085 +16580,2018-05-22 20:00:00,7.526999950408935 +16581,2018-05-22 21:00:00,7.73799991607666 +16582,2018-05-22 22:00:00,7.809000015258789 +16583,2018-05-22 23:00:00,6.752999782562256 +16584,2018-05-23 00:00:00,7.105000019073486 +16585,2018-05-23 01:00:00,6.61299991607666 +16586,2018-05-23 02:00:00,6.823999881744385 +16587,2018-05-23 03:00:00,6.4720001220703125 +16588,2018-05-23 04:00:00,7.597000122070312 +16589,2018-05-23 05:00:00,6.894000053405763 +16590,2018-05-23 06:00:00,7.668000221252441 +16591,2018-05-23 07:00:00,9.21500015258789 +16592,2018-05-23 08:00:00,9.848999977111816 +16593,2018-05-23 09:00:00,9.003999710083008 +16594,2018-05-23 10:00:00,9.28600025177002 +16595,2018-05-23 11:00:00,9.56700038909912 +16596,2018-05-23 12:00:00,9.21500015258789 +16597,2018-05-23 13:00:00,9.21500015258789 +16598,2018-05-23 14:00:00,10.482000350952148 +16599,2018-05-23 15:00:00,11.958999633789062 +16600,2018-05-23 16:00:00,11.678000450134276 +16601,2018-05-23 17:00:00,11.678000450134276 +16602,2018-05-23 18:00:00,11.467000007629396 +16603,2018-05-23 19:00:00,9.918999671936035 +16604,2018-05-23 20:00:00,9.496999740600586 +16605,2018-05-23 21:00:00,9.425999641418455 +16606,2018-05-23 22:00:00,9.28600025177002 +16607,2018-05-23 23:00:00,8.793000221252441 +16608,2018-05-24 00:00:00,8.442000389099121 +16609,2018-05-24 01:00:00,8.722999572753906 +16610,2018-05-24 02:00:00,8.371000289916992 +16611,2018-05-24 03:00:00,8.300999641418457 +16612,2018-05-24 04:00:00,8.230999946594237 +16613,2018-05-24 05:00:00,8.159999847412111 +16614,2018-05-24 06:00:00,8.51200008392334 +16615,2018-05-24 07:00:00,9.145000457763672 +16616,2018-05-24 08:00:00,9.28600025177002 +16617,2018-05-24 09:00:00,9.637999534606934 +16618,2018-05-24 10:00:00,8.86400032043457 +16619,2018-05-24 11:00:00,9.56700038909912 +16620,2018-05-24 12:00:00,9.496999740600586 +16621,2018-05-24 13:00:00,9.074999809265137 +16622,2018-05-24 14:00:00,9.777999877929688 +16623,2018-05-24 15:00:00,11.1850004196167 +16624,2018-05-24 16:00:00,10.762999534606934 +16625,2018-05-24 17:00:00,9.918999671936035 +16626,2018-05-24 18:00:00,10.340999603271484 +16627,2018-05-24 19:00:00,9.918999671936035 +16628,2018-05-24 20:00:00,9.918999671936035 +16629,2018-05-24 21:00:00,9.425999641418455 +16630,2018-05-24 22:00:00,9.355999946594238 +16631,2018-05-24 23:00:00,9.21500015258789 +16632,2018-05-25 00:00:00,8.722999572753906 +16633,2018-05-25 01:00:00,8.51200008392334 +16634,2018-05-25 02:00:00,8.652999877929688 +16635,2018-05-25 03:00:00,7.73799991607666 +16636,2018-05-25 04:00:00,8.51200008392334 +16637,2018-05-25 05:00:00,9.003999710083008 +16638,2018-05-25 06:00:00,9.145000457763672 +16639,2018-05-25 07:00:00,9.425999641418455 +16640,2018-05-25 08:00:00,9.145000457763672 +16641,2018-05-25 09:00:00,9.777999877929688 +16642,2018-05-25 10:00:00,9.918999671936035 +16643,2018-05-25 11:00:00,9.425999641418455 +16644,2018-05-25 12:00:00,9.21500015258789 +16645,2018-05-25 13:00:00,9.21500015258789 +16646,2018-05-25 14:00:00,8.86400032043457 +16647,2018-05-25 15:00:00,8.652999877929688 +16648,2018-05-25 16:00:00,8.51200008392334 +16649,2018-05-25 17:00:00,8.86400032043457 +16650,2018-05-25 18:00:00,5.9790000915527335 +16651,2018-05-25 19:00:00,6.823999881744385 +16652,2018-05-25 20:00:00,5.76800012588501 +16653,2018-05-25 21:00:00,6.261000156402588 +16654,2018-05-25 22:00:00,5.697999954223633 +16655,2018-05-25 23:00:00,6.261000156402588 +16656,2018-05-26 00:00:00,7.526999950408935 +16657,2018-05-26 01:00:00,8.090000152587889 +16658,2018-05-26 02:00:00,7.456999778747559 +16659,2018-05-26 03:00:00,7.526999950408935 +16660,2018-05-26 04:00:00,8.230999946594237 +16661,2018-05-26 05:00:00,8.51200008392334 +16662,2018-05-26 06:00:00,8.51200008392334 +16663,2018-05-26 07:00:00,8.371000289916992 +16664,2018-05-26 08:00:00,7.597000122070312 +16665,2018-05-26 09:00:00,8.442000389099121 +16666,2018-05-26 10:00:00,8.159999847412111 +16667,2018-05-26 11:00:00,8.300999641418457 +16668,2018-05-26 12:00:00,8.722999572753906 +16669,2018-05-26 13:00:00,9.425999641418455 +16670,2018-05-26 14:00:00,9.21500015258789 +16671,2018-05-26 15:00:00,9.355999946594238 +16672,2018-05-26 16:00:00,9.425999641418455 +16673,2018-05-26 17:00:00,9.074999809265137 +16674,2018-05-26 18:00:00,8.86400032043457 +16675,2018-05-26 19:00:00,8.934000015258789 +16676,2018-05-26 20:00:00,8.371000289916992 +16677,2018-05-26 21:00:00,9.425999641418455 +16678,2018-05-26 22:00:00,8.86400032043457 +16679,2018-05-26 23:00:00,9.003999710083008 +16680,2018-05-27 00:00:00,8.371000289916992 +16681,2018-05-27 01:00:00,8.86400032043457 +16682,2018-05-27 02:00:00,9.425999641418455 +16683,2018-05-27 03:00:00,9.21500015258789 +16684,2018-05-27 04:00:00,9.425999641418455 +16685,2018-05-27 05:00:00,9.355999946594238 +16686,2018-05-27 06:00:00,9.918999671936035 +16687,2018-05-27 07:00:00,9.777999877929688 +16688,2018-05-27 08:00:00,9.28600025177002 +16689,2018-05-27 09:00:00,9.56700038909912 +16690,2018-05-27 10:00:00,9.56700038909912 +16691,2018-05-27 11:00:00,9.21500015258789 +16692,2018-05-27 12:00:00,10.130000114440918 +16693,2018-05-27 13:00:00,10.762999534606934 +16694,2018-05-27 14:00:00,10.621999740600586 +16695,2018-05-27 15:00:00,11.536999702453612 +16696,2018-05-27 16:00:00,11.607000350952148 +16697,2018-05-27 17:00:00,11.326000213623049 +16698,2018-05-27 18:00:00,11.467000007629396 +16699,2018-05-27 19:00:00,10.482000350952148 +16700,2018-05-27 20:00:00,10.130000114440918 +16701,2018-05-27 21:00:00,9.918999671936035 +16702,2018-05-27 22:00:00,9.848999977111816 +16703,2018-05-27 23:00:00,10.199999809265137 +16704,2018-05-28 00:00:00,10.0600004196167 +16705,2018-05-28 01:00:00,10.130000114440918 +16706,2018-05-28 02:00:00,10.130000114440918 +16707,2018-05-28 03:00:00,9.918999671936035 +16708,2018-05-28 04:00:00,9.708000183105469 +16709,2018-05-28 05:00:00,9.918999671936035 +16710,2018-05-28 06:00:00,10.199999809265137 +16711,2018-05-28 07:00:00,10.973999977111816 +16712,2018-05-28 08:00:00,10.482000350952148 +16713,2018-05-28 09:00:00,10.41100025177002 +16714,2018-05-28 10:00:00,10.270999908447266 +16715,2018-05-28 11:00:00,10.692999839782717 +16716,2018-05-28 12:00:00,10.552000045776367 +16717,2018-05-28 13:00:00,10.692999839782717 +16718,2018-05-28 14:00:00,11.326000213623049 +16719,2018-05-28 15:00:00,11.958999633789062 +16720,2018-05-28 16:00:00,11.536999702453612 +16721,2018-05-28 17:00:00,11.467000007629396 +16722,2018-05-28 18:00:00,11.255999565124512 +16723,2018-05-28 19:00:00,11.114999771118164 +16724,2018-05-28 20:00:00,10.762999534606934 +16725,2018-05-28 21:00:00,10.692999839782717 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19:00:00,10.762999534606934 +16748,2018-05-29 20:00:00,10.340999603271484 +16749,2018-05-29 21:00:00,9.637999534606934 +16750,2018-05-29 22:00:00,10.41100025177002 +16751,2018-05-29 23:00:00,10.130000114440918 +16752,2018-05-30 00:00:00,9.918999671936035 +16753,2018-05-30 01:00:00,10.130000114440918 +16754,2018-05-30 02:00:00,9.777999877929688 +16755,2018-05-30 03:00:00,10.199999809265137 +16756,2018-05-30 04:00:00,9.777999877929688 +16757,2018-05-30 05:00:00,9.145000457763672 +16758,2018-05-30 06:00:00,9.98900032043457 +16759,2018-05-30 07:00:00,10.552000045776367 +16760,2018-05-30 08:00:00,10.904000282287598 +16761,2018-05-30 09:00:00,11.467000007629396 +16762,2018-05-30 10:00:00,11.536999702453612 +16763,2018-05-30 11:00:00,11.607000350952148 +16764,2018-05-30 12:00:00,11.678000450134276 +16765,2018-05-30 13:00:00,11.536999702453612 +16766,2018-05-30 14:00:00,11.678000450134276 +16767,2018-05-30 15:00:00,12.029000282287598 +16768,2018-05-30 16:00:00,11.326000213623049 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22:00:00,10.833000183105469 +16967,2018-06-07 23:00:00,10.340999603271484 +16968,2018-06-08 00:00:00,10.482000350952148 +16969,2018-06-08 01:00:00,10.41100025177002 +16970,2018-06-08 02:00:00,10.130000114440918 +16971,2018-06-08 03:00:00,10.0600004196167 +16972,2018-06-08 04:00:00,9.98900032043457 +16973,2018-06-08 05:00:00,9.708000183105469 +16974,2018-06-08 06:00:00,9.425999641418455 +16975,2018-06-08 07:00:00,9.777999877929688 +16976,2018-06-08 08:00:00,10.130000114440918 +16977,2018-06-08 09:00:00,10.199999809265137 +16978,2018-06-08 10:00:00,10.0600004196167 +16979,2018-06-08 11:00:00,10.340999603271484 +16980,2018-06-08 12:00:00,10.130000114440918 +16981,2018-06-08 13:00:00,9.918999671936035 +16982,2018-06-08 14:00:00,10.199999809265137 +16983,2018-06-08 15:00:00,10.340999603271484 +16984,2018-06-08 16:00:00,10.130000114440918 +16985,2018-06-08 17:00:00,9.918999671936035 +16986,2018-06-08 18:00:00,8.934000015258789 +16987,2018-06-08 19:00:00,9.003999710083008 +16988,2018-06-08 20:00:00,9.355999946594238 +16989,2018-06-08 21:00:00,8.86400032043457 +16990,2018-06-08 22:00:00,9.074999809265137 +16991,2018-06-08 23:00:00,8.722999572753906 +16992,2018-06-09 00:00:00,8.86400032043457 +16993,2018-06-09 01:00:00,8.86400032043457 +16994,2018-06-09 02:00:00,8.300999641418457 +16995,2018-06-09 03:00:00,8.020000457763674 +16996,2018-06-09 04:00:00,8.020000457763674 +16997,2018-06-09 05:00:00,8.159999847412111 +16998,2018-06-09 06:00:00,8.159999847412111 +16999,2018-06-09 07:00:00,8.159999847412111 +17000,2018-06-09 08:00:00,8.51200008392334 +17001,2018-06-09 09:00:00,8.442000389099121 +17002,2018-06-09 10:00:00,6.823999881744385 +17003,2018-06-09 11:00:00,3.025000095367432 +17004,2018-06-09 12:00:00,4.150000095367432 +17005,2018-06-09 13:00:00,3.938999891281128 +17006,2018-06-09 14:00:00,4.7839999198913565 +17007,2018-06-09 15:00:00,5.76800012588501 +17008,2018-06-09 16:00:00,6.683000087738037 +17009,2018-06-09 17:00:00,6.894000053405763 +17010,2018-06-09 18:00:00,7.0349998474121085 +17011,2018-06-09 19:00:00,6.401999950408936 +17012,2018-06-09 20:00:00,6.330999851226808 +17013,2018-06-09 21:00:00,6.050000190734862 +17014,2018-06-09 22:00:00,6.894000053405763 +17015,2018-06-09 23:00:00,7.245999813079834 +17016,2018-06-10 00:00:00,6.261000156402588 +17017,2018-06-10 01:00:00,6.823999881744385 +17018,2018-06-10 02:00:00,7.315999984741211 +17019,2018-06-10 03:00:00,7.668000221252441 +17020,2018-06-10 04:00:00,7.73799991607666 +17021,2018-06-10 05:00:00,7.456999778747559 +17022,2018-06-10 06:00:00,7.668000221252441 +17023,2018-06-10 07:00:00,8.020000457763674 +17024,2018-06-10 08:00:00,8.300999641418457 +17025,2018-06-10 09:00:00,8.159999847412111 +17026,2018-06-10 10:00:00,8.090000152587889 +17027,2018-06-10 11:00:00,8.090000152587889 +17028,2018-06-10 12:00:00,8.371000289916992 +17029,2018-06-10 13:00:00,8.934000015258789 +17030,2018-06-10 14:00:00,9.425999641418455 +17031,2018-06-10 15:00:00,9.56700038909912 +17032,2018-06-10 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+XOM,2017-08-30,76.099998 +XOM,2017-08-31,76.330002 +XOM,2017-09-01,76.57 diff --git a/models/TimeLLM.py b/models/TimeLLM.py index 604a8f4d..14b2991f 100644 --- a/models/TimeLLM.py +++ b/models/TimeLLM.py @@ -302,4 +302,4 @@ def reprogramming(self, target_embedding, source_embedding, value_embedding): A = self.dropout(torch.softmax(scale * scores, dim=-1)) reprogramming_embedding = torch.einsum("bhls,she->blhe", A, value_embedding) - return reprogramming_embedding + return reprogramming_embedding \ No newline at end of file diff --git a/run_main.py b/run_main.py index 1497e19a..b3fea219 100644 --- a/run_main.py +++ b/run_main.py @@ -37,16 +37,16 @@ parser.add_argument('--seed', type=int, default=2021, help='random seed') # data loader -parser.add_argument('--data', type=str, required=True, default='ETTm1', help='dataset type') +parser.add_argument('--data', type=str, required=True, default='custom', help='dataset type') parser.add_argument('--root_path', type=str, default='./dataset', help='root path of the data file') parser.add_argument('--data_path', type=str, default='ETTh1.csv', help='data file') -parser.add_argument('--features', type=str, default='M', +parser.add_argument('--features', type=str, default='S', help='forecasting task, options:[M, S, MS]; ' 'M:multivariate predict multivariate, S: univariate predict univariate, ' 'MS:multivariate predict univariate') -parser.add_argument('--target', type=str, default='OT', help='target feature in S or MS task') +parser.add_argument('--target', type=str, default='Close', help='target feature in S or MS task') parser.add_argument('--loader', type=str, default='modal', help='dataset type') -parser.add_argument('--freq', type=str, default='h', +parser.add_argument('--freq', type=str, default='d', help='freq for time features encoding, ' 'options:[s:secondly, t:minutely, h:hourly, d:daily, b:business days, w:weekly, m:monthly], ' 'you can also use more detailed freq like 15min or 3h') @@ -88,7 +88,7 @@ parser.add_argument('--align_epochs', type=int, default=10, help='alignment epochs') parser.add_argument('--batch_size', type=int, default=32, help='batch size of train input data') parser.add_argument('--eval_batch_size', type=int, default=8, help='batch size of model evaluation') -parser.add_argument('--patience', type=int, default=10, help='early stopping patience') +parser.add_argument('--patience', type=int, default=7, help='early stopping patience') parser.add_argument('--learning_rate', type=float, default=0.0001, help='optimizer learning rate') parser.add_argument('--des', type=str, default='test', help='exp description') parser.add_argument('--loss', type=str, default='MSE', help='loss function') diff --git a/scripts/TimeLLM_ETTh1.sh b/scripts/TimeLLM_ETTh1.sh old mode 100644 new mode 100755 index 952e5de3..cbc361ab --- a/scripts/TimeLLM_ETTh1.sh +++ b/scripts/TimeLLM_ETTh1.sh @@ -3,9 +3,9 @@ train_epochs=100 learning_rate=0.01 llama_layers=32 -master_port=00097 -num_process=8 -batch_size=24 +master_port=29500 +num_process=2 +batch_size=16 d_model=32 d_ff=128 @@ -14,19 +14,19 @@ comment='TimeLLM-ETTh1' accelerate launch --multi_gpu --mixed_precision bf16 --num_processes $num_process --main_process_port $master_port run_main.py \ --task_name long_term_forecast \ --is_training 1 \ - --root_path ./dataset/ETT-small/ \ - --data_path ETTh1.csv \ - --model_id ETTh1_512_96 \ + --root_path ./dataset/stock/ \ + --data_path XOM.csv \ + --model_id XOM1010 \ --model $model_name \ - --data ETTh1 \ - --features M \ - --seq_len 512 \ - --label_len 48 \ - --pred_len 96 \ + --data custom \ + --features S \ + --seq_len 10 \ + --label_len 0 \ + --pred_len 10 \ --factor 3 \ - --enc_in 7 \ - --dec_in 7 \ - --c_out 7 \ + --enc_in 1 \ + --dec_in 1 \ + --c_out 1 \ --des 'Exp' \ --itr 1 \ --d_model $d_model \ @@ -35,83 +35,84 @@ accelerate launch --multi_gpu --mixed_precision bf16 --num_processes $num_proces --learning_rate $learning_rate \ --llm_layers $llama_layers \ --train_epochs $train_epochs \ - --model_comment $comment + --model_comment $comment \ + --llm_model 'BERT' --llm_dim 768 -accelerate launch --multi_gpu --mixed_precision bf16 --num_processes $num_process --main_process_port $master_port run_main.py \ - --task_name long_term_forecast \ - --is_training 1 \ - --root_path ./dataset/ETT-small/ \ - --data_path ETTh1.csv \ - --model_id ETTh1_512_192 \ - --model $model_name \ - --data ETTh1 \ - --features M \ - --seq_len 512 \ - --label_len 48 \ - --pred_len 192 \ - --factor 3 \ - --enc_in 7 \ - --dec_in 7 \ - --c_out 7 \ - --des 'Exp' \ - --itr 1 \ - --d_model 32 \ - --d_ff 128 \ - --batch_size $batch_size \ - --learning_rate 0.02 \ - --llm_layers $llama_layers \ - --train_epochs $train_epochs \ - --model_comment $comment +# accelerate launch --multi_gpu --mixed_precision bf16 --num_processes $num_process --main_process_port $master_port run_main.py \ +# --task_name long_term_forecast \ +# --is_training 1 \ +# --root_path ./dataset/ETT-small/ \ +# --data_path ETTh1.csv \ +# --model_id ETTh1_512_192 \ +# --model $model_name \ +# --data ETTh1 \ +# --features M \ +# --seq_len 512 \ +# --label_len 48 \ +# --pred_len 192 \ +# --factor 3 \ +# --enc_in 7 \ +# --dec_in 7 \ +# --c_out 7 \ +# --des 'Exp' \ +# --itr 1 \ +# --d_model 32 \ +# --d_ff 128 \ +# --batch_size $batch_size \ +# --learning_rate 0.02 \ +# --llm_layers $llama_layers \ +# --train_epochs $train_epochs \ +# --model_comment $comment -accelerate launch --multi_gpu --mixed_precision bf16 --num_processes $num_process --main_process_port $master_port run_main.py \ - --task_name long_term_forecast \ - --is_training 1 \ - --root_path ./dataset/ETT-small/ \ - --data_path ETTh1.csv \ - --model_id ETTh1_512_336 \ - --model $model_name \ - --data ETTh1 \ - --features M \ - --seq_len 512 \ - --label_len 48 \ - --pred_len 336 \ - --factor 3 \ - --enc_in 7 \ - --dec_in 7 \ - --c_out 7 \ - --des 'Exp' \ - --itr 1 \ - --d_model $d_model \ - --d_ff $d_ff \ - --batch_size $batch_size \ - --lradj 'COS'\ - --learning_rate 0.001 \ - --llm_layers $llama_layers \ - --train_epochs $train_epochs \ - --model_comment $comment +# accelerate launch --multi_gpu --mixed_precision bf16 --num_processes $num_process --main_process_port $master_port run_main.py \ +# --task_name long_term_forecast \ +# --is_training 1 \ +# --root_path ./dataset/ETT-small/ \ +# --data_path ETTh1.csv \ +# --model_id ETTh1_512_336 \ +# --model $model_name \ +# --data ETTh1 \ +# --features M \ +# --seq_len 512 \ +# --label_len 48 \ +# --pred_len 336 \ +# --factor 3 \ +# --enc_in 7 \ +# --dec_in 7 \ +# --c_out 7 \ +# --des 'Exp' \ +# --itr 1 \ +# --d_model $d_model \ +# --d_ff $d_ff \ +# --batch_size $batch_size \ +# --lradj 'COS'\ +# --learning_rate 0.001 \ +# --llm_layers $llama_layers \ +# --train_epochs $train_epochs \ +# --model_comment $comment -accelerate launch --multi_gpu --mixed_precision bf16 --num_processes $num_process --main_process_port $master_port run_main.py \ - --task_name long_term_forecast \ - --is_training 1 \ - --root_path ./dataset/ETT-small/ \ - --data_path ETTh1.csv \ - --model_id ETTh1_512_720 \ - --model $model_name \ - --data ETTh1 \ - --features M \ - --seq_len 512 \ - --label_len 48 \ - --pred_len 720 \ - --factor 3 \ - --enc_in 7 \ - --dec_in 7 \ - --c_out 7 \ - --des 'Exp' \ - --itr 1 \ - --d_model $d_model \ - --d_ff $d_ff \ - --batch_size $batch_size \ - --learning_rate $learning_rate \ - --llm_layers $llama_layers \ - --train_epochs $train_epochs \ - --model_comment $comment \ No newline at end of file +# accelerate launch --multi_gpu --mixed_precision bf16 --num_processes $num_process --main_process_port $master_port run_main.py \ +# --task_name long_term_forecast \ +# --is_training 1 \ +# --root_path ./dataset/ETT-small/ \ +# --data_path ETTh1.csv \ +# --model_id ETTh1_512_720 \ +# --model $model_name \ +# --data ETTh1 \ +# --features M \ +# --seq_len 512 \ +# --label_len 48 \ +# --pred_len 720 \ +# --factor 3 \ +# --enc_in 7 \ +# --dec_in 7 \ +# --c_out 7 \ +# --des 'Exp' \ +# --itr 1 \ +# --d_model $d_model \ +# --d_ff $d_ff \ +# --batch_size $batch_size \ +# --learning_rate $learning_rate \ +# --llm_layers $llama_layers \ +# --train_epochs $train_epochs \ +# --model_comment $comment \ No newline at end of file