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3.9 MiB
In [1]:
# OPTIONAL: Load the "autoreload" extension so that code can change. But blacklist large modules
%load_ext autoreload
%autoreload 2
%aimport -pandas
%aimport -torch
%aimport -numpy
%aimport -matplotlib
%aimport -dask
%aimport -tqdm
%matplotlib inlineIn [2]:
import xarray as xr
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from pathlib import Path
from tqdm.auto import tqdm
from IPython.display import display, HTMLIn [3]:
import warnings
warnings.simplefilter('once')
warnings.simplefilter(action='ignore', category=FutureWarning)
warnings.simplefilter(action='ignore', category=DeprecationWarning)In [4]:
import holoviews as hv
from holoviews import opts
from holoviews.operation.datashader import datashade, dynspread
hv.extension('bokeh', inline=True)
from seq2seq_time.visualization.hv_ggplot import ggplot_theme
hv.renderer('bokeh').theme = ggplot_theme
hv.archive.auto()
# holoview datashader timeseries options
%opts RGB [width=800 height=200 show_grid=True active_tools=["xwheel_zoom"] default_tools=["xpan","xwheel_zoom", "reset", "hover"] toolbar="right"]
%opts Curve [width=800 height=200 show_grid=True active_tools=["xwheel_zoom"] default_tools=["xpan","xwheel_zoom", "reset", "hover"] toolbar="right"]
%opts Scatter [width=800 height=200 show_grid=True active_tools=["xwheel_zoom"] default_tools=["xpan","xwheel_zoom", "reset", "hover"] toolbar="right"]
%opts Layout [width=800 height=200][JavaScript output - execution disabled for security]
[JavaScript output - execution disabled for security]
<IPython.core.display.Javascript object>
Automatic capture is now enabled. [2020-11-02 07:46:01]
In [5]:
# # device = "cuda" if torch.cuda.is_available() else "cpu"
# print(f'using {device}')
window_past = 48*2
window_future = 48
batch_size = 4
datasets_root = Path('../data/processed/')In [6]:
from seq2seq_time.data.data import IMOSCurrentsVel, AppliancesEnergyPrediction, BejingPM25, GasSensor, MetroInterstateTraffic
datasets = [IMOSCurrentsVel, BejingPM25, GasSensor, AppliancesEnergyPrediction, MetroInterstateTraffic, ]
datasetsOut [6]:
[seq2seq_time.data.data.IMOSCurrentsVel, seq2seq_time.data.data.BejingPM25, seq2seq_time.data.data.GasSensor, seq2seq_time.data.data.AppliancesEnergyPrediction, seq2seq_time.data.data.MetroInterstateTraffic]
In [9]:
# plot a batch
def plot_batch_y(ds, i):
x_past, y_past, x_future, y_future = ds.get_rows(i)
y = pd.concat([y_past, y_future])
p = hv.Scatter(y)
now = y_past.index[-1]
p *= hv.VLine(now).relabel('now').opts(color='red')
return p
def plot_batches_y(dataset, window_past=window_past, window_future=window_future):
ds_name = type(dataset).__name__
opts=dict(width=200, height=100, xaxis=None, yaxis=None)
ds_train, ds_val, ds_test = d.to_datasets(window_past=window_past,
window_future=window_future)
n = 4
max_i = min(len(ds_train), len(ds_val), len(ds_test))
ii = list(np.linspace(0, max_i-10, n-1).astype(int)) + [-1]
l = hv.Layout()
for i in ii:
l += plot_batch_y(ds_train, i).opts(title=f'train {i}', **opts)
l += plot_batch_y(ds_val, i).opts(title=f'val {i}', **opts)
l += plot_batch_y(ds_test, i).opts(title=f'test {i}', **opts)
return l.opts(shared_axes=False, toolbar='right', title=f"{ds_name} freq={d.df.index.freq.freqstr}").cols(3)In [7]:
for dataset in datasets:
d = dataset(datasets_root)
display(HTML(f"<h3>{dataset.__name__}</h3>"))
print(d.__doc__)
print(f'{len(d)} rows at freq{d.df.index.freq.freqstr}')
print('columns_forecast', d.columns_forecast)
print('columns_past', d.columns_past)
print('columns_target', d.columns_target)
print
display(d.df)IMOSCurrentsVel
Current Speed at Two Rocks, Western Australia, with a water depth of 200 m. The mooring is located at Lat -31.719 Lon 115.03. Has tidal periods as features.
see:
- https://catalogue-imos.aodn.org.au/geonetwork/srv/api/records/bbfc20d3-0e98-40a8-bd8a-3f7717eafb6d
- http://thredds.aodn.org.au/thredds/fileServer/IMOS/ANMN/WA/WATR20/Velocity/
and http://thredds.aodn.org.au/thredds/catalog/IMOS/ANMN/WA/WATR20/Velocity/catalog.html
And https://en.wikipedia.org/wiki/Theory_of_tides
40708 rows at freq30T
columns_forecast ['M2', 'S2', 'N2', 'K2', 'K1', 'O1', 'P1', 'Q1', 'M4', 'M6', 'S4', 'MK3', 'MM', 'SSA', 'SA']
columns_past {'UCUR', 'DEPTH', 'WCUR', 'VCUR', 'TEMP'}
columns_target ['SPD']
| VCUR | UCUR | WCUR | TEMP | DEPTH | M2 | S2 | N2 | K2 | K1 | ... | P1 | Q1 | M4 | M6 | S4 | MK3 | MM | SSA | SA | SPD | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| TIME | |||||||||||||||||||||
| 2011-06-09 15:30:00 | 0.204021 | -0.158203 | -0.001695 | 20.830000 | 201.967545 | 0.104076 | -0.422618 | 0.283656 | 0.306084 | 0.583774 | ... | 0.344861 | -0.656472 | -0.986246 | -0.310180 | -0.642788 | -0.508251 | 0.997041 | -0.908848 | 0.213485 | 0.258172 |
| 2011-06-09 16:00:00 | 0.105118 | -0.094232 | -0.008524 | 20.863333 | 201.973831 | 0.269541 | -0.572121 | 0.437399 | 0.464780 | 0.510936 | ... | 0.261805 | -0.596573 | -0.853767 | -0.722387 | -0.338557 | -0.267432 | 0.997619 | -0.909047 | 0.213252 | 0.142034 |
| 2011-06-09 16:30:00 | 0.121471 | -0.002748 | -0.008752 | 20.940001 | 201.987396 | 0.502359 | -0.764101 | 0.645351 | 0.675963 | 0.395088 | ... | 0.134032 | -0.500549 | -0.496055 | -0.990386 | 0.171889 | 0.117156 | 0.998467 | -0.909346 | 0.212902 | 0.133557 |
| 2011-06-09 17:00:00 | 0.143786 | -0.118950 | 0.004436 | 21.020000 | 201.993332 | 0.703208 | -0.904008 | 0.813757 | 0.840830 | 0.272444 | ... | 0.003978 | -0.397689 | -0.014085 | -0.714982 | 0.636277 | 0.484663 | 0.999293 | -0.909644 | 0.212551 | 0.186944 |
| 2011-06-09 17:30:00 | 0.068450 | -0.074994 | -0.011574 | 21.129999 | 202.001282 | 0.859309 | -0.982309 | 0.932296 | 0.948083 | 0.145112 | ... | -0.126143 | -0.289399 | 0.471412 | -0.047283 | 0.930175 | 0.781508 | 1.000096 | -0.909941 | 0.212201 | 0.102691 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 2014-05-16 01:30:00 | -0.428396 | 0.090252 | -0.013913 | 15.676667 | 201.782959 | 0.990709 | 0.641816 | 0.485959 | -0.987066 | -0.992151 | ... | -0.480382 | -0.502142 | 0.955280 | 0.895072 | -0.170206 | -0.105201 | 0.616808 | -0.299223 | 0.591936 | 0.438596 |
| 2014-05-16 02:00:00 | -0.492208 | 0.106152 | -0.014862 | 15.690000 | 201.785599 | 0.922364 | 0.422326 | 0.255914 | -0.975840 | -0.989219 | ... | -0.362221 | -0.399381 | 0.695027 | 0.357815 | -0.634967 | -0.474076 | 0.620623 | -0.299906 | 0.591647 | 0.503897 |
| 2014-05-16 02:30:00 | -0.519550 | 0.110623 | -0.004837 | 15.713333 | 201.775696 | 0.795324 | 0.174055 | 0.010186 | -0.897749 | -0.969268 | ... | -0.237896 | -0.291166 | 0.260675 | -0.375769 | -0.929589 | -0.773832 | 0.624425 | -0.300590 | 0.591359 | 0.531268 |
| 2014-05-16 03:00:00 | -0.508658 | 0.097735 | -0.005429 | 15.770000 | 201.748566 | 0.617673 | -0.086077 | -0.236166 | -0.758145 | -0.932642 | ... | -0.109523 | -0.178975 | -0.238974 | -0.903175 | -0.975129 | -0.960765 | 0.628213 | -0.301274 | 0.591069 | 0.517970 |
| 2014-05-16 03:30:00 | -0.526861 | 0.112729 | -0.001550 | 15.810000 | 201.721451 | 0.477724 | -0.257985 | -0.394165 | -0.637094 | -0.899834 | ... | -0.022783 | -0.102779 | -0.551476 | -1.008378 | -0.866887 | -1.013969 | 0.630731 | -0.301729 | 0.590877 | 0.538786 |
51433 rows × 21 columns
BejingPM25
PM2.5 data of US Embassy in Beijing. This measures smoke as well as some pollen, fog, and dust particles of a certain size. Weather data from a nearby airport are included.
See:
- http://archive.ics.uci.edu/ml/datasets/Beijing+PM2.5+Data
- https://en.wikipedia.org/wiki/Particulates
41757 rows at freqH
columns_forecast ['month', 'day', 'week', 'hour', 'minute', 'dayofweek']
columns_past {'cbwd', 'Is', 'Iws', 'PRES', 'TEMP', 'DEWP', 'Ir'}
columns_target ['log_pm2.5']
| DEWP | TEMP | PRES | cbwd | Iws | Is | Ir | log_pm2.5 | month | day | week | hour | minute | dayofweek | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-01-02 00:00:00+08:00 | -16.0 | -4.0 | 1020.0 | SE | 1.79 | 0.0 | 0.0 | 4.859812 | 1 | 2 | 53 | 0 | 0 | 5 |
| 2010-01-02 01:00:00+08:00 | -15.0 | -4.0 | 1020.0 | SE | 2.68 | 0.0 | 0.0 | 4.997212 | 1 | 2 | 53 | 1 | 0 | 5 |
| 2010-01-02 02:00:00+08:00 | -11.0 | -5.0 | 1021.0 | SE | 3.57 | 0.0 | 0.0 | 5.068904 | 1 | 2 | 53 | 2 | 0 | 5 |
| 2010-01-02 03:00:00+08:00 | -7.0 | -5.0 | 1022.0 | SE | 5.36 | 1.0 | 0.0 | 5.198497 | 1 | 2 | 53 | 3 | 0 | 5 |
| 2010-01-02 04:00:00+08:00 | -7.0 | -5.0 | 1022.0 | SE | 6.25 | 2.0 | 0.0 | 4.927254 | 1 | 2 | 53 | 4 | 0 | 5 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 2014-12-31 19:00:00+08:00 | -23.0 | -2.0 | 1034.0 | NW | 231.97 | 0.0 | 0.0 | 2.079443 | 12 | 31 | 1 | 19 | 0 | 2 |
| 2014-12-31 20:00:00+08:00 | -22.0 | -3.0 | 1034.0 | NW | 237.78 | 0.0 | 0.0 | 2.302586 | 12 | 31 | 1 | 20 | 0 | 2 |
| 2014-12-31 21:00:00+08:00 | -22.0 | -3.0 | 1034.0 | NW | 242.70 | 0.0 | 0.0 | 2.302586 | 12 | 31 | 1 | 21 | 0 | 2 |
| 2014-12-31 22:00:00+08:00 | -22.0 | -4.0 | 1034.0 | NW | 246.72 | 0.0 | 0.0 | 2.079443 | 12 | 31 | 1 | 22 | 0 | 2 |
| 2014-12-31 23:00:00+08:00 | -21.0 | -3.0 | 1034.0 | NW | 249.85 | 0.0 | 0.0 | 2.484907 | 12 | 31 | 1 | 23 | 0 | 2 |
43800 rows × 14 columns
GasSensor
A metal oxide (MOX) gas sensor exposed during 3 weeks to mixtures of carbon monoxide and humid synthetic air in a gas chamber.
See: http://archive.ics.uci.edu/ml/datasets/Gas+sensor+array+temperature+modulation
295653 rows at freq300L
columns_forecast ['Flow rate (mL/min)', 'Heater voltage (V)']
columns_past {'Temperature (C)', 'CO (ppm)', 'Humidity (%r.h.)'}
columns_target ['R1 (MOhm)']
| CO (ppm) | Humidity (%r.h.) | Temperature (C) | Flow rate (mL/min) | Heater voltage (V) | R1 (MOhm) | |
|---|---|---|---|---|---|---|
| Time (s) | ||||||
| 2016-10-04 10:41:24.000 | 0.0 | 54.6258 | 25.3178 | 242.5724 | 0.2030 | 55.1483 |
| 2016-10-04 10:41:24.300 | 0.0 | 52.6300 | 25.3000 | 241.5326 | 0.2020 | 70.7619 |
| 2016-10-04 10:41:24.600 | 0.0 | 52.6300 | 25.3000 | 241.2315 | 0.2020 | 68.5571 |
| 2016-10-04 10:41:24.900 | 0.0 | 52.6300 | 25.3000 | 240.9315 | 0.2010 | 69.1448 |
| 2016-10-04 10:41:25.200 | 0.0 | 52.6300 | 25.3000 | 240.6521 | 0.2007 | 61.4100 |
| ... | ... | ... | ... | ... | ... | ... |
| 2016-10-05 11:56:32.400 | 0.0 | 63.0900 | 25.3800 | 0.0000 | 0.2000 | 4.0125 |
| 2016-10-05 11:56:32.700 | 0.0 | 63.0900 | 25.3800 | 0.0000 | 0.2000 | 3.3697 |
| 2016-10-05 11:56:33.000 | 0.0 | 63.0900 | 25.3800 | 0.0000 | 0.2000 | 2.8750 |
| 2016-10-05 11:56:33.300 | 0.0 | 63.0900 | 25.3800 | 0.0000 | 0.2000 | 2.4623 |
| 2016-10-05 11:56:33.600 | 0.0 | 63.0900 | 25.3800 | 0.0000 | 0.2000 | 2.1432 |
303033 rows × 6 columns
AppliancesEnergyPrediction
Appliances energy use in a low energy building.
See: https://archive.ics.uci.edu/ml/datasets/Appliances+energy+prediction
19735 rows at freq10T
columns_forecast ['month', 'day', 'week', 'hour', 'minute', 'dayofweek']
columns_past {'RH_3', 'T9', 'T5', 'T2', 'Tdewpoint', 'T8', 'lights', 'rv2', 'RH_out', 'T1', 'Visibility', 'RH_6', 'T7', 'T_out', 'RH_8', 'Windspeed', 'T3', 'RH_9', 'T4', 'RH_4', 'RH_5', 'RH_2', 'RH_7', 'RH_1', 'rv1', 'T6', 'Press_mm_hg'}
columns_target ['log_Appliances']
| lights | T1 | RH_1 | T2 | RH_2 | T3 | RH_3 | T4 | RH_4 | T5 | ... | Tdewpoint | rv1 | rv2 | log_Appliances | month | day | week | hour | minute | dayofweek | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| date | |||||||||||||||||||||
| 2016-01-11 17:00:00 | 30 | 19.890000 | 47.596667 | 19.200000 | 44.790000 | 19.790000 | 44.730000 | 19.000000 | 45.566667 | 17.166667 | ... | 5.300000 | 13.275433 | 13.275433 | 4.094345 | 1 | 11 | 2 | 17 | 0 | 0 |
| 2016-01-11 17:10:00 | 30 | 19.890000 | 46.693333 | 19.200000 | 44.722500 | 19.790000 | 44.790000 | 19.000000 | 45.992500 | 17.166667 | ... | 5.200000 | 18.606195 | 18.606195 | 4.094345 | 1 | 11 | 2 | 17 | 10 | 0 |
| 2016-01-11 17:20:00 | 30 | 19.890000 | 46.300000 | 19.200000 | 44.626667 | 19.790000 | 44.933333 | 18.926667 | 45.890000 | 17.166667 | ... | 5.100000 | 28.642668 | 28.642668 | 3.912023 | 1 | 11 | 2 | 17 | 20 | 0 |
| 2016-01-11 17:30:00 | 40 | 19.890000 | 46.066667 | 19.200000 | 44.590000 | 19.790000 | 45.000000 | 18.890000 | 45.723333 | 17.166667 | ... | 5.000000 | 45.410389 | 45.410389 | 3.912023 | 1 | 11 | 2 | 17 | 30 | 0 |
| 2016-01-11 17:40:00 | 40 | 19.890000 | 46.333333 | 19.200000 | 44.530000 | 19.790000 | 45.000000 | 18.890000 | 45.530000 | 17.200000 | ... | 4.900000 | 10.084097 | 10.084097 | 4.094345 | 1 | 11 | 2 | 17 | 40 | 0 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 2016-05-27 17:20:00 | 0 | 25.566667 | 46.560000 | 25.890000 | 42.025714 | 27.200000 | 41.163333 | 24.700000 | 45.590000 | 23.200000 | ... | 13.333333 | 43.096812 | 43.096812 | 4.605170 | 5 | 27 | 21 | 17 | 20 | 4 |
| 2016-05-27 17:30:00 | 0 | 25.500000 | 46.500000 | 25.754000 | 42.080000 | 27.133333 | 41.223333 | 24.700000 | 45.590000 | 23.230000 | ... | 13.300000 | 49.282940 | 49.282940 | 4.499810 | 5 | 27 | 21 | 17 | 30 | 4 |
| 2016-05-27 17:40:00 | 10 | 25.500000 | 46.596667 | 25.628571 | 42.768571 | 27.050000 | 41.690000 | 24.700000 | 45.730000 | 23.230000 | ... | 13.266667 | 29.199117 | 29.199117 | 5.598422 | 5 | 27 | 21 | 17 | 40 | 4 |
| 2016-05-27 17:50:00 | 10 | 25.500000 | 46.990000 | 25.414000 | 43.036000 | 26.890000 | 41.290000 | 24.700000 | 45.790000 | 23.200000 | ... | 13.233333 | 6.322784 | 6.322784 | 6.040255 | 5 | 27 | 21 | 17 | 50 | 4 |
| 2016-05-27 18:00:00 | 10 | 25.500000 | 46.600000 | 25.264286 | 42.971429 | 26.823333 | 41.156667 | 24.700000 | 45.963333 | 23.200000 | ... | 13.200000 | 34.118851 | 34.118851 | 6.063785 | 5 | 27 | 21 | 18 | 0 | 4 |
19735 rows × 34 columns
MetroInterstateTraffic
Hourly traffic volume for Interstate 94 (I-94) in the U.S. state of Minnesota. Includes weather and holiday features from 2012-2018.
See: https://archive.ics.uci.edu/ml/datasets/Metro+Interstate+Traffic+Volume
40575 rows at freqH
columns_forecast ['holiday', 'month', 'day', 'week', 'hour', 'minute', 'dayofweek']
columns_past {'temp', 'snow_1h', 'weather_main', 'rain_1h', 'clouds_all', 'weather_description'}
columns_target ['traffic_volume']
| holiday | temp | rain_1h | snow_1h | clouds_all | weather_main | weather_description | traffic_volume | month | day | week | hour | minute | dayofweek | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| date_time | ||||||||||||||
| 2012-10-02 09:00:00 | True | 288.28 | 0.0 | 0.0 | 40.0 | Clouds | scattered clouds | 5545.0 | 10 | 2 | 40 | 9 | 0 | 1 |
| 2012-10-02 10:00:00 | True | 289.36 | 0.0 | 0.0 | 75.0 | Clouds | broken clouds | 4516.0 | 10 | 2 | 40 | 10 | 0 | 1 |
| 2012-10-02 11:00:00 | True | 289.58 | 0.0 | 0.0 | 90.0 | Clouds | overcast clouds | 4767.0 | 10 | 2 | 40 | 11 | 0 | 1 |
| 2012-10-02 12:00:00 | True | 290.13 | 0.0 | 0.0 | 90.0 | Clouds | overcast clouds | 5026.0 | 10 | 2 | 40 | 12 | 0 | 1 |
| 2012-10-02 13:00:00 | True | 291.14 | 0.0 | 0.0 | 75.0 | Clouds | broken clouds | 4918.0 | 10 | 2 | 40 | 13 | 0 | 1 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 2018-09-30 19:00:00 | True | 283.45 | 0.0 | 0.0 | 75.0 | Clouds | broken clouds | 3543.0 | 9 | 30 | 39 | 19 | 0 | 6 |
| 2018-09-30 20:00:00 | True | 282.76 | 0.0 | 0.0 | 90.0 | Clouds | overcast clouds | 2781.0 | 9 | 30 | 39 | 20 | 0 | 6 |
| 2018-09-30 21:00:00 | True | 282.73 | 0.0 | 0.0 | 90.0 | Thunderstorm | proximity thunderstorm | 2159.0 | 9 | 30 | 39 | 21 | 0 | 6 |
| 2018-09-30 22:00:00 | True | 282.09 | 0.0 | 0.0 | 90.0 | Clouds | overcast clouds | 1450.0 | 9 | 30 | 39 | 22 | 0 | 6 |
| 2018-09-30 23:00:00 | True | 282.12 | 0.0 | 0.0 | 90.0 | Clouds | overcast clouds | 954.0 | 9 | 30 | 39 | 23 | 0 | 6 |
52551 rows × 14 columns
In [ ]:
In [8]:
# View train, test, val splits
l = hv.Layout()
for dataset in datasets:
d = dataset(datasets_root)
p = dynspread(
datashade(hv.Scatter(d.df_train[d.columns_target[0]]),
cmap='red'))
p *= dynspread(
datashade(hv.Scatter(d.df_val[d.columns_target[0]]),
cmap='green'))
p *= dynspread(
datashade(hv.Scatter(d.df_test[d.columns_target[0]]),
cmap='blue'))
p = p.opts(title=f"{dataset.__name__}, n={len(d)}, freq={d.df.index.freq.freqstr}")
display(p)[0;31m---------------------------------------------------------------------------[0m [0;31mAttributeError[0m Traceback (most recent call last) [0;32m~/anaconda/envs/seq2seq-time/lib/python3.7/site-packages/IPython/core/formatters.py[0m in [0;36m__call__[0;34m(self, obj, include, exclude)[0m [1;32m 968[0m [0;34m[0m[0m [1;32m 969[0m [0;32mif[0m [0mmethod[0m [0;32mis[0m [0;32mnot[0m [0;32mNone[0m[0;34m:[0m[0;34m[0m[0;34m[0m[0m [0;32m--> 970[0;31m [0;32mreturn[0m [0mmethod[0m[0;34m([0m[0minclude[0m[0;34m=[0m[0minclude[0m[0;34m,[0m [0mexclude[0m[0;34m=[0m[0mexclude[0m[0;34m)[0m[0;34m[0m[0;34m[0m[0m [0m[1;32m 971[0m [0;32mreturn[0m [0;32mNone[0m[0;34m[0m[0;34m[0m[0m [1;32m 972[0m [0;32melse[0m[0;34m:[0m[0;34m[0m[0;34m[0m[0m [0;32m~/anaconda/envs/seq2seq-time/lib/python3.7/site-packages/holoviews/core/dimension.py[0m in [0;36m_repr_mimebundle_[0;34m(self, include, exclude)[0m [1;32m 1310[0m [0mcombined[0m [0;32mand[0m [0mreturned[0m[0;34m.[0m[0;34m[0m[0;34m[0m[0m [1;32m 1311[0m """ 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:DynamicMap []
:Overlay
.RGB.I :RGB [TIME,SPD] (R,G,B,A)
.RGB.II :RGB [TIME,SPD] (R,G,B,A)
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:DynamicMap []
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:DynamicMap []
:Overlay
.RGB.I :RGB [Time (s),R1 (MOhm)] (R,G,B,A)
.RGB.II :RGB [Time (s),R1 (MOhm)] (R,G,B,A)
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:DynamicMap []
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.RGB.I :RGB [date,log_Appliances] (R,G,B,A)
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[0;32m~/anaconda/envs/seq2seq-time/lib/python3.7/site-packages/param/parameterized.py[0m in [0;36m__new__[0;34m(class_, *args, **params)[0m [1;32m 2810[0m [0minst[0m [0;34m=[0m [0mclass_[0m[0;34m.[0m[0minstance[0m[0;34m([0m[0;34m)[0m[0;34m[0m[0;34m[0m[0m [1;32m 2811[0m [0minst[0m[0;34m.[0m[0mparam[0m[0;34m.[0m[0m_set_name[0m[0;34m([0m[0mclass_[0m[0;34m.[0m[0m__name__[0m[0;34m)[0m[0;34m[0m[0;34m[0m[0m [0;32m-> 2812[0;31m [0;32mreturn[0m [0minst[0m[0;34m.[0m[0m__call__[0m[0;34m([0m[0;34m*[0m[0margs[0m[0;34m,[0m[0;34m**[0m[0mparams[0m[0;34m)[0m[0;34m[0m[0;34m[0m[0m [0m[1;32m 2813[0m [0;34m[0m[0m [1;32m 2814[0m [0;32mdef[0m [0m__call__[0m[0;34m([0m[0mself[0m[0;34m,[0m[0;34m*[0m[0margs[0m[0;34m,[0m[0;34m**[0m[0mkw[0m[0;34m)[0m[0;34m:[0m[0;34m[0m[0;34m[0m[0m [0;32m~/anaconda/envs/seq2seq-time/lib/python3.7/site-packages/holoviews/core/io.py[0m in [0;36m__call__[0;34m(self, obj, key, info, **kwargs)[0m [1;32m 327[0m [0;32mdef[0m [0m__call__[0m[0;34m([0m[0mself[0m[0;34m,[0m [0mobj[0m[0;34m,[0m 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**kwargs)[0m [1;32m 352[0m [0;32mfor[0m [0mcomponent[0m[0;34m,[0m [0mentry[0m [0;32min[0m [0mzip[0m[0;34m([0m[0mcomponents[0m[0;34m,[0m [0mentries[0m[0;34m)[0m[0;34m:[0m[0;34m[0m[0;34m[0m[0m [1;32m 353[0m f.writestr(entry, [0;32m--> 354[0;31m Store.dumps(component, protocol=self_or_cls.protocol)) [0m[1;32m 355[0m f.writestr('metadata', [1;32m 356[0m pickle.dumps({'info':info, 'key':key})) [0;32m~/anaconda/envs/seq2seq-time/lib/python3.7/site-packages/holoviews/core/options.py[0m in [0;36mdumps[0;34m(cls, obj, protocol)[0m [1;32m 1216[0m """ [1;32m 1217[0m [0mcls[0m[0;34m.[0m[0msave_option_state[0m [0;34m=[0m [0;32mTrue[0m[0;34m[0m[0;34m[0m[0m [0;32m-> 1218[0;31m [0mval[0m [0;34m=[0m [0mpickle[0m[0;34m.[0m[0mdumps[0m[0;34m([0m[0mobj[0m[0;34m,[0m [0mprotocol[0m[0;34m=[0m[0mprotocol[0m[0;34m)[0m[0;34m[0m[0;34m[0m[0m [0m[1;32m 1219[0m [0mcls[0m[0;34m.[0m[0msave_option_state[0m [0;34m=[0m [0;32mFalse[0m[0;34m[0m[0;34m[0m[0m [1;32m 1220[0m [0;32mreturn[0m [0mval[0m[0;34m[0m[0;34m[0m[0m [0;31mAttributeError[0m: Can't pickle local object 'Dynamic._dynamic_operation.<locals>.dynamic_operation'
:DynamicMap []
:Overlay
.RGB.I :RGB [date_time,traffic_volume] (R,G,B,A)
.RGB.II :RGB [date_time,traffic_volume] (R,G,B,A)
.RGB.III :RGB [date_time,traffic_volume] (R,G,B,A)In [ ]:
In [10]:
# View train, test, val splits
for dataset in datasets:
ds_name = type(dataset).__name__
d = dataset(datasets_root)
print(d)
display(plot_batches_y(d))<IMOSCurrentsVel (51433, 21)>
<BejingPM25 (43800, 14)>
<GasSensor (303033, 6)>
<AppliancesEnergyPrediction (19735, 34)>
<MetroInterstateTraffic (52551, 14)>
In [11]:
# def plot_batch_x(ds, i):
# """Plot input features"""
# x_past, y_past, x_future, y_future = ds.get_rows(i)
# x = pd.concat([x_past, x_future])
# p = hv.NdOverlay({
# col: hv.Curve(x[col]) for col in x.columns
# }, kdims='column')
# now = y_past.index[-1]
# p *= hv.VLine(now).relabel('now').opts(color='red')
# return p
# def plot_batches_x(d):
# """Plot input features for multiple batch"""
# ds_train, ds_val, ds_test = d.to_datasets(window_past=window_past,
# window_future=window_future)
# l = plot_batch_x(ds_train, 10) + plot_batch_x(ds_val, 10) + plot_batch_x(ds_test, 10)
# l = l.cols(1).opts(shared_axes=False, title=f'{type(d).__name__}')
# return lIn [12]:
# ds_train, ds_val, ds_test = d.to_datasets(window_past=window_past,
# window_future=window_future)In [13]:
# # View input columns
# for dataset in datasets:
# d = dataset(datasets_root)
# display(plot_batches_x(d))In [14]:
hv.archive.export()
hv.archive.last_export_status()Export name: '{notebook}'
Directory '/media/wassname/Storage5/projects2/3ST/seq2seq-time/notebooks'
If no output appears, please check holoviews.archive.last_export_status()
<IPython.core.display.Javascript object>
Status of the last call to holoviews.archive.export is unknown. (Re-execute this method once kernel status is idle.)
In [ ]:
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