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Plotting time in hours

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Luke Ainsworth
Luke Ainsworth on 24 Nov 2022
Answered: Seth Furman on 6 Dec 2022
I have attached a .csv file which I have created containing time running from 21/11/22 - 22/11/22.
I have also attached a copy of the code i am using to load in this data.
I am not sure if the hh:mm time is correct in the .csv file? I want it to run from midnight on 21/11/22 to midnight on 22/11/22 at hourly intervals. For example, 21/11/22 01:00:00, i want this to be 1am.
I want to plot this data as a time series, showing the time in hours on the x-axis.

Answers (2)

Florian Bidaud
Florian Bidaud on 24 Nov 2022
You have one line per hour so you can use directly the line index as your time series and plot the associated variable according to it.
timeSeries = 0:length(excelTime);
plot(timeSeries,variableToPlot)
  1 Comment
Luke Ainsworth
Luke Ainsworth on 24 Nov 2022
I am using this function to plot the code
function plot_21_OC(data21)
plot(data21.t,data21.MSLP,'b-+') %for example
ylabel('MSLP')
I have attached an image of the figure. The data for MSLP is plotting, im just confused how i would get the appropriate times to plot on the x-axis.

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Seth Furman
Seth Furman on 6 Dec 2022
tt = readtimetable("208cw3_21OC.csv",NumHeaderLines=5,VariableNamingRule="preserve")
tt = 25×6 timetable
time MSLP (hPa) Temperature (°C) Relative Humidity (%) Rainfall Rate (mm/hr) Wind Speed (kn) Visibility ________________ __________ ________________ _____________________ _____________________ _______________ __________ 21/11/2022 00:00 1007.8 9.5 94 0 5.2 7 21/11/2022 01:00 1006.4 10.5 92 0 6.1 7 21/11/2022 02:00 1004.3 10.8 91 0 7 7 21/11/2022 03:00 1001.8 11.5 88 0 6.1 7 21/11/2022 04:00 999.4 11.6 88 0 10.4 7 21/11/2022 05:00 996.8 11.6 91 0 12.2 6 21/11/2022 06:00 995.2 10.3 93 2.2 5.2 5 21/11/2022 07:00 992.8 10.2 95 3.6 6.1 5 21/11/2022 08:00 989.5 10.7 96 4.2 2.6 4 21/11/2022 09:00 987.2 11.2 97 1.4 6.1 6 21/11/2022 10:00 988.3 9.8 97 2.6 6.1 6 21/11/2022 11:00 988.6 9.4 96 0.2 10.4 7 21/11/2022 12:00 989.2 10.1 87 0 12.2 7 21/11/2022 13:00 990.1 8.4 86 0 12.2 7 21/11/2022 14:00 990.5 8.9 84 0 7.8 7 21/11/2022 15:00 990.3 8.2 85 0 11.3 7
stackedplot(tt)

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