Averaging hourly time series data to daily time series

9 Feb. 2022
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Aktualisiert 6 Apr. 2022
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Dear All,
I have a time series that gives values in every three hours. I want to make the hourly time series to daily time series. Below I provide some part of the time series
time,"latitude[unit=""degrees_north""]","longitude[unit=""degrees_east""]","duV[unit=""""]"
2010-01-01T00:00:00Z,-12.188,96.834,0.001330521889031
2010-01-01T03:00:00Z,-12.188,96.834,0.001403234200552
2010-01-01T06:00:00Z,-12.188,96.834,0.001377008855343
2010-01-01T09:00:00Z,-12.188,96.834,0.001442793873139
2010-01-01T12:00:00Z,-12.188,96.834,0.001446010312065
2010-01-01T15:00:00Z,-12.188,96.834,0.001489778282121
2010-01-01T18:00:00Z,-12.188,96.834,0.001514136092737
2010-01-01T21:00:00Z,-12.188,96.834,0.001586842001416
2010-01-02T00:00:00Z,-12.188,96.834,0.00151173339691
2010-01-02T03:00:00Z,-12.188,96.834,0.001461336854845
2010-01-02T06:00:00Z,-12.188,96.834,0.001436298596673
2010-01-02T09:00:00Z,-12.188,96.834,0.00147640646901
2010-01-02T12:00:00Z,-12.188,96.834,0.001427361159585
2010-01-02T15:00:00Z,-12.188,96.834,0.001489962683991
2010-01-02T18:00:00Z,-12.188,96.834,0.001575496746227
2010-01-02T21:00:00Z,-12.188,96.834,0.001642269198783
2010-01-03T00:00:00Z,-12.188,96.834,0.001710081240162
2010-01-03T03:00:00Z,-12.188,96.834,0.001788589404896
2010-01-03T06:00:00Z,-12.188,96.834,0.001865940866992
2010-01-03T09:00:00Z,-12.188,96.834,0.00196593394503
2010-01-03T12:00:00Z,-12.188,96.834,0.002040380612016
2010-01-03T15:00:00Z,-12.188,96.834,0.002184253418818
2010-01-03T18:00:00Z,-12.188,96.834,0.002302398672327
2010-01-03T21:00:00Z,-12.188,96.834,0.002462723758072
2010-01-04T00:00:00Z,-12.188,96.834,0.002478270791471

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Star Strider
Star Strider am 9 Feb. 2022
Ran in:

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Ran in:
Try this —
T1 = readtable('Chris Martin_2022_02_09.txt')
T1 = 25×4 table
Var1 Var2 Var3 Var4 ________________________ _______ ______ _________ {'2010-01-01T00:00:00Z'} -12.188 96.834 0.0013305 {'2010-01-01T03:00:00Z'} -12.188 96.834 0.0014032 {'2010-01-01T06:00:00Z'} -12.188 96.834 0.001377 {'2010-01-01T09:00:00Z'} -12.188 96.834 0.0014428 {'2010-01-01T12:00:00Z'} -12.188 96.834 0.001446 {'2010-01-01T15:00:00Z'} -12.188 96.834 0.0014898 {'2010-01-01T18:00:00Z'} -12.188 96.834 0.0015141 {'2010-01-01T21:00:00Z'} -12.188 96.834 0.0015868 {'2010-01-02T00:00:00Z'} -12.188 96.834 0.0015117 {'2010-01-02T03:00:00Z'} -12.188 96.834 0.0014613 {'2010-01-02T06:00:00Z'} -12.188 96.834 0.0014363 {'2010-01-02T09:00:00Z'} -12.188 96.834 0.0014764 {'2010-01-02T12:00:00Z'} -12.188 96.834 0.0014274 {'2010-01-02T15:00:00Z'} -12.188 96.834 0.00149 {'2010-01-02T18:00:00Z'} -12.188 96.834 0.0015755 {'2010-01-02T21:00:00Z'} -12.188 96.834 0.0016423
T1.Var1 = datetime(T1.Var1, 'InputFormat','yyyy-MM-dd''T''HH:mm:ss''Z''', 'TimeZone','UCT')
Warning: 'UCT' specifies a time zone with a fixed offset from UTC, +00:00. This zone does not follow daylight saving time, and so may give unexpected results. See the datetime.TimeZone property for details about specifying time zones.
T1 = 25×4 table
Var1 Var2 Var3 Var4 ____________________ _______ ______ _________ 01-Jan-2010 00:00:00 -12.188 96.834 0.0013305 01-Jan-2010 03:00:00 -12.188 96.834 0.0014032 01-Jan-2010 06:00:00 -12.188 96.834 0.001377 01-Jan-2010 09:00:00 -12.188 96.834 0.0014428 01-Jan-2010 12:00:00 -12.188 96.834 0.001446 01-Jan-2010 15:00:00 -12.188 96.834 0.0014898 01-Jan-2010 18:00:00 -12.188 96.834 0.0015141 01-Jan-2010 21:00:00 -12.188 96.834 0.0015868 02-Jan-2010 00:00:00 -12.188 96.834 0.0015117 02-Jan-2010 03:00:00 -12.188 96.834 0.0014613 02-Jan-2010 06:00:00 -12.188 96.834 0.0014363 02-Jan-2010 09:00:00 -12.188 96.834 0.0014764 02-Jan-2010 12:00:00 -12.188 96.834 0.0014274 02-Jan-2010 15:00:00 -12.188 96.834 0.00149 02-Jan-2010 18:00:00 -12.188 96.834 0.0015755 02-Jan-2010 21:00:00 -12.188 96.834 0.0016423
TT1 = table2timetable(T1)
TT1 = 25×3 timetable
Var1 Var2 Var3 Var4 ____________________ _______ ______ _________ 01-Jan-2010 00:00:00 -12.188 96.834 0.0013305 01-Jan-2010 03:00:00 -12.188 96.834 0.0014032 01-Jan-2010 06:00:00 -12.188 96.834 0.001377 01-Jan-2010 09:00:00 -12.188 96.834 0.0014428 01-Jan-2010 12:00:00 -12.188 96.834 0.001446 01-Jan-2010 15:00:00 -12.188 96.834 0.0014898 01-Jan-2010 18:00:00 -12.188 96.834 0.0015141 01-Jan-2010 21:00:00 -12.188 96.834 0.0015868 02-Jan-2010 00:00:00 -12.188 96.834 0.0015117 02-Jan-2010 03:00:00 -12.188 96.834 0.0014613 02-Jan-2010 06:00:00 -12.188 96.834 0.0014363 02-Jan-2010 09:00:00 -12.188 96.834 0.0014764 02-Jan-2010 12:00:00 -12.188 96.834 0.0014274 02-Jan-2010 15:00:00 -12.188 96.834 0.00149 02-Jan-2010 18:00:00 -12.188 96.834 0.0015755 02-Jan-2010 21:00:00 -12.188 96.834 0.0016423
TT2 = retime(TT1,'daily','linear')
TT2 = 4×3 timetable
Var1 Var2 Var3 Var4 ___________ _______ ______ _________ 01-Jan-2010 -12.188 96.834 0.0013305 02-Jan-2010 -12.188 96.834 0.0015117 03-Jan-2010 -12.188 96.834 0.0017101 04-Jan-2010 -12.188 96.834 0.0024783
I created a text file with the posted data and attached it here. This code should work with your file.
.

4 Kommentare
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Chris Martin
Chris Martin am 12 Feb. 2022
Thank you very much
Star Strider
Star Strider am 12 Feb. 2022
As always, my pleasure!
Chris Martin
Chris Martin am 6 Apr. 2022
why the code only takes the value of the first hour only ? how to get the average of 8 values as provided in the file. each day contain 8 values each of three hours
Star Strider
Star Strider am 6 Apr. 2022
Ran in:
Ran in:
That requirement does not appear to have been stated in the original post.
Try this —
T1 = readtable('https://www.mathworks.com/matlabcentral/answers/uploaded_files/889455/Chris%20Martin_2022_02_09.txt')
T1 = 25×4 table
Var1 Var2 Var3 Var4 ________________________ _______ ______ _________ {'2010-01-01T00:00:00Z'} -12.188 96.834 0.0013305 {'2010-01-01T03:00:00Z'} -12.188 96.834 0.0014032 {'2010-01-01T06:00:00Z'} -12.188 96.834 0.001377 {'2010-01-01T09:00:00Z'} -12.188 96.834 0.0014428 {'2010-01-01T12:00:00Z'} -12.188 96.834 0.001446 {'2010-01-01T15:00:00Z'} -12.188 96.834 0.0014898 {'2010-01-01T18:00:00Z'} -12.188 96.834 0.0015141 {'2010-01-01T21:00:00Z'} -12.188 96.834 0.0015868 {'2010-01-02T00:00:00Z'} -12.188 96.834 0.0015117 {'2010-01-02T03:00:00Z'} -12.188 96.834 0.0014613 {'2010-01-02T06:00:00Z'} -12.188 96.834 0.0014363 {'2010-01-02T09:00:00Z'} -12.188 96.834 0.0014764 {'2010-01-02T12:00:00Z'} -12.188 96.834 0.0014274 {'2010-01-02T15:00:00Z'} -12.188 96.834 0.00149 {'2010-01-02T18:00:00Z'} -12.188 96.834 0.0015755 {'2010-01-02T21:00:00Z'} -12.188 96.834 0.0016423
T1.Var1 = datetime(T1.Var1, 'InputFormat','yyyy-MM-dd''T''HH:mm:ss''Z''', 'TimeZone','UCT')
Warning: 'UCT' specifies a time zone with a fixed offset from UTC, +00:00. This zone does not follow daylight saving time, and so may give unexpected results. See the datetime.TimeZone property for details about specifying time zones.
T1 = 25×4 table
Var1 Var2 Var3 Var4 ____________________ _______ ______ _________ 01-Jan-2010 00:00:00 -12.188 96.834 0.0013305 01-Jan-2010 03:00:00 -12.188 96.834 0.0014032 01-Jan-2010 06:00:00 -12.188 96.834 0.001377 01-Jan-2010 09:00:00 -12.188 96.834 0.0014428 01-Jan-2010 12:00:00 -12.188 96.834 0.001446 01-Jan-2010 15:00:00 -12.188 96.834 0.0014898 01-Jan-2010 18:00:00 -12.188 96.834 0.0015141 01-Jan-2010 21:00:00 -12.188 96.834 0.0015868 02-Jan-2010 00:00:00 -12.188 96.834 0.0015117 02-Jan-2010 03:00:00 -12.188 96.834 0.0014613 02-Jan-2010 06:00:00 -12.188 96.834 0.0014363 02-Jan-2010 09:00:00 -12.188 96.834 0.0014764 02-Jan-2010 12:00:00 -12.188 96.834 0.0014274 02-Jan-2010 15:00:00 -12.188 96.834 0.00149 02-Jan-2010 18:00:00 -12.188 96.834 0.0015755 02-Jan-2010 21:00:00 -12.188 96.834 0.0016423
TT1 = table2timetable(T1)
TT1 = 25×3 timetable
Var1 Var2 Var3 Var4 ____________________ _______ ______ _________ 01-Jan-2010 00:00:00 -12.188 96.834 0.0013305 01-Jan-2010 03:00:00 -12.188 96.834 0.0014032 01-Jan-2010 06:00:00 -12.188 96.834 0.001377 01-Jan-2010 09:00:00 -12.188 96.834 0.0014428 01-Jan-2010 12:00:00 -12.188 96.834 0.001446 01-Jan-2010 15:00:00 -12.188 96.834 0.0014898 01-Jan-2010 18:00:00 -12.188 96.834 0.0015141 01-Jan-2010 21:00:00 -12.188 96.834 0.0015868 02-Jan-2010 00:00:00 -12.188 96.834 0.0015117 02-Jan-2010 03:00:00 -12.188 96.834 0.0014613 02-Jan-2010 06:00:00 -12.188 96.834 0.0014363 02-Jan-2010 09:00:00 -12.188 96.834 0.0014764 02-Jan-2010 12:00:00 -12.188 96.834 0.0014274 02-Jan-2010 15:00:00 -12.188 96.834 0.00149 02-Jan-2010 18:00:00 -12.188 96.834 0.0015755 02-Jan-2010 21:00:00 -12.188 96.834 0.0016423
TT2 = retime(TT1,'daily','mean')
TT2 = 4×3 timetable
Var1 Var2 Var3 Var4 ___________ _______ ______ _________ 01-Jan-2010 -12.188 96.834 0.0014488 02-Jan-2010 -12.188 96.834 0.0015026 03-Jan-2010 -12.188 96.834 0.00204 04-Jan-2010 -12.188 96.834 0.0024783
.

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