I am using R2018b. Why does my graph appear so pixelated?

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Zuha Yousuf
Zuha Yousuf am 7 Aug. 2019
Kommentiert: Adam Danz am 7 Aug. 2019
Both the x and y vectors are 1341*1 double.
My code is given below:
[~,NumDataS]=xlsread('Oxygen_5.14.19_Dex_vitals_001.xlsx','Sheet2','F607:G1947'); % Physiological Data
[~,TmatrixS] = xlsread('Oxygen_5.14.19_Dex_vitals_001.xlsx','Sheet2','A607:F1947'); % Time Data
HR = cellfun(@str2double, NumDataS(:,2)); % Retrieve From Cell Array Of Strings
Time1=cellfun(@str2double, TmatrixS(:,5)); %Array of minutes to be converted to seconds
Time1convert=Time1*60
Time2=cellfun(@str2double, TmatrixS(:,6)); %Array of seconds
Totaltime=Time1convert+Time2
figure
graph1=plot(Totaltime, HR)
  2 Kommentare
Luna
Luna am 7 Aug. 2019
Did you check your screen resolution?
Adam
Adam am 7 Aug. 2019
Did you check your data?
plot plots what you tell it to, and if your data is stepped you'll get a plot that looks stepped too.

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Adam Danz
Adam Danz am 7 Aug. 2019
Bearbeitet: Adam Danz am 7 Aug. 2019
My bet is that the plot is merely showing your data. Your data appear to be integer values along the y axis so the data will always clump around interger values which may appear to be pixelated under certain viewing conditions. As a test, if you stetch out the x axis (ie, xlim([1400,1600])) you may see this step pattern better. Also, if you plot with markers and not lines (ie, plot(Totaltime, HR, 'bo')) and turn the grid on (grid on) it may also help to reveal this natural pattern in your data.
  2 Kommentare
Zuha Yousuf
Zuha Yousuf am 7 Aug. 2019
Thank you so much! The problem was that it was clumping around the integer values as you said. Taking a 5 second moving average worked.
Adam Danz
Adam Danz am 7 Aug. 2019
Glad I could help!

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