Split (3)

train · 282M rows

node_id int64	t0_timestamp string	x_t-11_d0 float64	x_t-11_d1 float64	x_t-10_d0 float64	x_t-10_d1 float64	x_t-9_d0 float64	x_t-9_d1 float64	x_t-8_d0 float64	x_t-8_d1 float64	x_t-7_d0 float64	x_t-7_d1 float64	x_t-6_d0 float64	x_t-6_d1 float64	x_t-5_d0 float64	x_t-5_d1 float64	x_t-4_d0 float64	x_t-4_d1 float64	x_t-3_d0 float64	x_t-3_d1 float64	x_t-2_d0 float64	x_t-2_d1 float64	x_t-1_d0 float64	x_t-1_d1 float64	x_t+0_d0 float64	x_t+0_d1 float64	y_t+1_d0 float64	y_t+2_d0 float64	y_t+3_d0 float64	y_t+4_d0 float64	y_t+5_d0 float64	y_t+6_d0 float64	y_t+7_d0 float64	y_t+8_d0 float64	y_t+9_d0 float64	y_t+10_d0 float64	y_t+11_d0 float64	y_t+12_d0 float64
3,833	2019-09-13T10:00:00	294	0.378472	315	0.381944	318	0.385417	333	0.388889	321	0.392361	322	0.395833	361	0.399306	331	0.402778	373	0.40625	330	0.409722	326	0.413194	309	0.416667	326	292	303	352	328	317	330	312	288	317	311	318
3,833	2019-09-13T10:05:00	315	0.381944	318	0.385417	333	0.388889	321	0.392361	322	0.395833	361	0.399306	331	0.402778	373	0.40625	330	0.409722	326	0.413194	309	0.416667	326	0.420139	292	303	352	328	317	330	312	288	317	311	318	303
3,833	2019-09-13T10:10:00	318	0.385417	333	0.388889	321	0.392361	322	0.395833	361	0.399306	331	0.402778	373	0.40625	330	0.409722	326	0.413194	309	0.416667	326	0.420139	292	0.423611	303	352	328	317	330	312	288	317	311	318	303	344
3,833	2019-09-13T10:15:00	333	0.388889	321	0.392361	322	0.395833	361	0.399306	331	0.402778	373	0.40625	330	0.409722	326	0.413194	309	0.416667	326	0.420139	292	0.423611	303	0.427083	352	328	317	330	312	288	317	311	318	303	344	325
3,833	2019-09-13T10:20:00	321	0.392361	322	0.395833	361	0.399306	331	0.402778	373	0.40625	330	0.409722	326	0.413194	309	0.416667	326	0.420139	292	0.423611	303	0.427083	352	0.430556	328	317	330	312	288	317	311	318	303	344	325	313
3,833	2019-09-13T10:25:00	322	0.395833	361	0.399306	331	0.402778	373	0.40625	330	0.409722	326	0.413194	309	0.416667	326	0.420139	292	0.423611	303	0.427083	352	0.430556	328	0.434028	317	330	312	288	317	311	318	303	344	325	313	310
3,833	2019-09-13T10:30:00	361	0.399306	331	0.402778	373	0.40625	330	0.409722	326	0.413194	309	0.416667	326	0.420139	292	0.423611	303	0.427083	352	0.430556	328	0.434028	317	0.4375	330	312	288	317	311	318	303	344	325	313	310	325
3,833	2019-09-13T10:35:00	331	0.402778	373	0.40625	330	0.409722	326	0.413194	309	0.416667	326	0.420139	292	0.423611	303	0.427083	352	0.430556	328	0.434028	317	0.4375	330	0.440972	312	288	317	311	318	303	344	325	313	310	325	287
3,833	2019-09-13T10:40:00	373	0.40625	330	0.409722	326	0.413194	309	0.416667	326	0.420139	292	0.423611	303	0.427083	352	0.430556	328	0.434028	317	0.4375	330	0.440972	312	0.444444	288	317	311	318	303	344	325	313	310	325	287	339
3,833	2019-09-13T10:45:00	330	0.409722	326	0.413194	309	0.416667	326	0.420139	292	0.423611	303	0.427083	352	0.430556	328	0.434028	317	0.4375	330	0.440972	312	0.444444	288	0.447917	317	311	318	303	344	325	313	310	325	287	339	347
3,833	2019-09-13T10:50:00	326	0.413194	309	0.416667	326	0.420139	292	0.423611	303	0.427083	352	0.430556	328	0.434028	317	0.4375	330	0.440972	312	0.444444	288	0.447917	317	0.451389	311	318	303	344	325	313	310	325	287	339	347	337
3,833	2019-09-13T10:55:00	309	0.416667	326	0.420139	292	0.423611	303	0.427083	352	0.430556	328	0.434028	317	0.4375	330	0.440972	312	0.444444	288	0.447917	317	0.451389	311	0.454861	318	303	344	325	313	310	325	287	339	347	337	297
3,833	2019-09-13T11:00:00	326	0.420139	292	0.423611	303	0.427083	352	0.430556	328	0.434028	317	0.4375	330	0.440972	312	0.444444	288	0.447917	317	0.451389	311	0.454861	318	0.458333	303	344	325	313	310	325	287	339	347	337	297	344
3,833	2019-09-13T11:05:00	292	0.423611	303	0.427083	352	0.430556	328	0.434028	317	0.4375	330	0.440972	312	0.444444	288	0.447917	317	0.451389	311	0.454861	318	0.458333	303	0.461806	344	325	313	310	325	287	339	347	337	297	344	328
3,833	2019-09-13T11:10:00	303	0.427083	352	0.430556	328	0.434028	317	0.4375	330	0.440972	312	0.444444	288	0.447917	317	0.451389	311	0.454861	318	0.458333	303	0.461806	344	0.465278	325	313	310	325	287	339	347	337	297	344	328	419
3,833	2019-09-13T11:15:00	352	0.430556	328	0.434028	317	0.4375	330	0.440972	312	0.444444	288	0.447917	317	0.451389	311	0.454861	318	0.458333	303	0.461806	344	0.465278	325	0.46875	313	310	325	287	339	347	337	297	344	328	419	362
3,833	2019-09-13T11:20:00	328	0.434028	317	0.4375	330	0.440972	312	0.444444	288	0.447917	317	0.451389	311	0.454861	318	0.458333	303	0.461806	344	0.465278	325	0.46875	313	0.472222	310	325	287	339	347	337	297	344	328	419	362	354
3,833	2019-09-13T11:25:00	317	0.4375	330	0.440972	312	0.444444	288	0.447917	317	0.451389	311	0.454861	318	0.458333	303	0.461806	344	0.465278	325	0.46875	313	0.472222	310	0.475694	325	287	339	347	337	297	344	328	419	362	354	361
3,833	2019-09-13T11:30:00	330	0.440972	312	0.444444	288	0.447917	317	0.451389	311	0.454861	318	0.458333	303	0.461806	344	0.465278	325	0.46875	313	0.472222	310	0.475694	325	0.479167	287	339	347	337	297	344	328	419	362	354	361	366
3,833	2019-09-13T11:35:00	312	0.444444	288	0.447917	317	0.451389	311	0.454861	318	0.458333	303	0.461806	344	0.465278	325	0.46875	313	0.472222	310	0.475694	325	0.479167	287	0.482639	339	347	337	297	344	328	419	362	354	361	366	399
3,833	2019-09-13T11:40:00	288	0.447917	317	0.451389	311	0.454861	318	0.458333	303	0.461806	344	0.465278	325	0.46875	313	0.472222	310	0.475694	325	0.479167	287	0.482639	339	0.486111	347	337	297	344	328	419	362	354	361	366	399	331
3,833	2019-09-13T11:45:00	317	0.451389	311	0.454861	318	0.458333	303	0.461806	344	0.465278	325	0.46875	313	0.472222	310	0.475694	325	0.479167	287	0.482639	339	0.486111	347	0.489583	337	297	344	328	419	362	354	361	366	399	331	378

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