How to plot temporal figure ?
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I have time series data below
5.99  7.28  8.86	10.79	13.12	15.97	19.44	23.65	28.78	35.03	42.62	51.85	
1/7/2015 16:30	1384  217   2276	3328	2796	5153	5436	6081	6373	7893	7916	7676	
1/7/2015 16:38	0	  254	924	    2704	3681	5520	6717	6641	5114	4630	6306	6870	
1/7/2015 16:46	0	  768	2540	3944	3921	6557	8559	7920	5570	7629	6370	6580	
1/7/2015 16:54	547	  780	1894	2702	3622	6675	13139	10464	8671	7736	7526	8246	
1/7/2015 17:02	648	  886	1207	1479	2647	3815	5810	5305	5661	5660	6242	7476	
1/7/2015 17:10	2020  1313	2282	2157	4961	5865	7209	5335	4704	4835	5242	5801	
1/7/2015 17:18	1753  0	    869	    3859	7580	6563	9042	6911	5853	5539	5447	5963	
1/7/2015 17:26	695	  0	    3620	4773	4471	5132	6518	5873	5485	4953	5080	5851	
1/7/2015 17:34	1321 1338	1332	2549	3887	4480	6350	5862	5586	5000	5540	5923	
1/7/2015 17:41	622	 1344	1183	4329	5009	7259	7540	8905	9061	8503	7733	8289	
1/7/2015 17:49	0	 395	2816	3284	4374	5325	5865	6292	5146	5244	5608	6344	
1/7/2015 17:57	0	 233	1867	3632	4611	7592	8829	9600	9091	6426	6452	6448	
1/7/2015 18:05	578	 2124	3235	4323	5560	12145	9789	9177	13672	12881	8643	6734	
1/7/2015 18:13	0	 1595	2399	4323	6782	8717	8587	7461	7116	6942	6396	7396	
1/7/2015 18:21	2021 1292	3227	2510	4278	4154	4511	4936	4587	5769	5616	6250	
1/7/2015 18:29	593	 1867	2412	2700	5211	4942	6502	7376	6671	5996	5160	5720	
1/7/2015 18:37	532	 1032	2903	3633	4709	5319	6093	6567	6614	8225	7859	7857	
and I would like to plot this data like below image. Time should be in x axis and 1st row should yyaxis left remianing data will be temporal 

2 Comments
  Adam Danz
    
      
 on 10 Oct 2019
				
      Edited: Adam Danz
    
      
 on 10 Oct 2019
  
			...or imagesc()
Assuming your data are in Table format or perhaps TimeTable format and column 1 are in datetime format, you'll just use col 1 as the x values and the rest of the data as the z-value.  
meshgrid() can be used to give you the x and y values for each z value.  
The level of detail we can provide is limited to the level of detail in the question (which is sparse).
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