Interpolate multiple data for a plot
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I am having trouble interpolating data. I don't quite know what variables to insert into interp1. I need to plot sea against temperature after interpolating as the time for sea and time for weather is different. Any tips?
for k=1:7
figure
w{k} = interp1(timeweather{k},avgtemp{k},sealevel{k},'linear');
plot(timeweather{k},avgtemp{k},'-',5,w{k},'*')
plot(timeweather{k},avgtemp{k},'r')
hold on
plot(timesea{k},sealevel{k},'c')
end
3 个评论
Tip: use a timetable and synchronize.
Can you tell us what the 7 cells of the cell array describe? Are they different locations or something? Also, what format is the time in, is it in fractional years?
num2str(timesea{1})
ans =
912×9 char array
'1935.0416'
' 1935.125'
'1935.2084'
Madlab
2018-10-17
Madlab
2018-10-17
采纳的回答
jonas
2018-10-17
Normally I'm not a big fan of fraction years, but here we go:
% Common time vector
tc = 1850:.1:2020;
% interpolate
out.sealevel = cellfun(@(x,y)interp1(x,y,tc),timesea,sealevel,'uniformoutput',false)
out.temp = cellfun(@(x,y)interp1(x,y,tc),timeweather,avgtemp,'uniformoutput',false)
all time-series stored in the struct out can be plotted against the common time vector tc.
2 个评论
jonas
2018-10-18
This is the function
@(x,y)interp1(x,y,tc)
x and y are the variables. Cellfun applies this function to each cell in the inputs that come as the 2nd and 3rd arguments in this case.
...'uniformoutput',false
just means that the output cells does not have to be of the same size. It may not be necessary in this case.
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