I need to plot precipitation data. First, adjust y limits of a stacked plot to accommodate totals for the month. Second, have dates on the x axis.
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Jonathon Klepatzki
on 12 Apr 2024
Commented: Cris LaPierre
on 13 Apr 2024
I have a working script (see below), however, I'm not familiar with setting ylimits of a stacked plot since it's the only plot function that seems to work for me. I would also like to take column one data and plot it on the x axis. Precipitation must be in hundreths of units.
close all;
clear all;
clc;
tbl = readtable('March_Precipitation');
P = tbl(:,2);
s = stackedplot(P)
S.LineWidth = 2;
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Accepted Answer
Cris LaPierre
on 12 Apr 2024
What do you want your YLims to be?
As for dates, if your X data is a datetime, then your x axis will display dates.
tbl = readtable('March_Precip.xlsx','TextType','string');
tbl.Properties.VariableNames = ["Date","Precipitation"];
tbl.Precipitation = double(tbl.Precipitation);
plot(tbl, 'Date','Precipitation')
3 Comments
Cris LaPierre
on 12 Apr 2024
Is there something about a stackedplot that you cannot achieve with a regular plot? Otherwise, just use a regular plot and ylims as you normally would.
I've updated the plot command to use the plot(x,y) syntax instead.
tbl = readtable('March_Precip.xlsx','TextType','string');
tbl.Properties.VariableNames = ["Date","Precipitation"];
tbl.Precipitation = double(tbl.Precipitation);
plot(tbl.Date,tbl.Precipitation)
ylim([3 5])
More Answers (1)
Star Strider
on 12 Apr 2024
Convert the table to a timetablee and ‘Column2’ will automatically be plotted as a funciton of the time variable.
However I don’t understand ‘Precipitation must be in hundreths of units.’. It can be transformed easily enough by multiplying ‘Column2’ by a constant. The y-tick values (or labels) can also be transformed as easily. What changes need to be made?
Try this —
F = openfig('Precip.fig');
F.Visible = 1;
T1 = readtable('March_Precip.xlsx');
T1.Column2 = str2double(T1.Column2);
TT1 = table2timetable(T1)
figure
stackedplot(TT1)
.
3 Comments
Cris LaPierre
on 13 Apr 2024
For a timetable, I suggest reading the Excel file using readtimetable
TT = readtimetable('March_Precip.xlsx','TextType','string');
TT.Properties.VariableNames = ["Precipitation"];
TT.Precipitation = str2double(TT.Precipitation);
stackedplot(TT)
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