Plotting time in hours

Question

Luke Ainsworth 2022-11-24

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https://ww2.mathworks.cn/matlabcentral/answers/1861573-plotting-time-in-hours

回答： Seth Furman 2022-12-6

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.

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Answer 1

Florian Bidaud 2022-11-24

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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)

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Luke Ainsworth 2022-11-24

Screenshot 2022-11-24 at 12.06.59.png

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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Answer 2

Seth Furman 2022-12-6

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https://ww2.mathworks.cn/matlabcentral/answers/1861573-plotting-time-in-hours#answer_1121777

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208cw3_21OC.csv

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)