shade area between graphs

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Michiel
Michiel 2015 年 2 月 28 日
コメント済み: Image Analyst 2022 年 6 月 17 日
I want to shade the area between these graphs
but this certainly does not do the trick:
fill([t t(end:-1:1)],[y1 y2(end:-1:1)],'y')
I also downloaded and tried "jblill"
but that did not seem to amend the outcome so far
  2 件のコメント
Image Analyst
Image Analyst 2017 年 12 月 15 日
Yes, there were answers below, one of which he accepted though both should work.

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採用された回答

Image Analyst
Image Analyst 2015 年 2 月 28 日
Try using fill() instead of area():
x = 1 : 300;
curve1 = log(x);
curve2 = 2*log(x);
plot(x, curve1, 'r', 'LineWidth', 2);
hold on;
plot(x, curve2, 'b', 'LineWidth', 2);
x2 = [x, fliplr(x)];
inBetween = [curve1, fliplr(curve2)];
fill(x2, inBetween, 'g');
  11 件のコメント
Image Analyst
Image Analyst 2022 年 6 月 17 日
@MadjeKoe simply don't call plot() and only call fill().

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その他の回答 (3 件)

Star Strider
Star Strider 2015 年 2 月 28 日
編集済み: Star Strider 2015 年 2 月 28 日
Try this:
x = linspace(0,10*pi);
y1 = sin(x);
y2 = cos(x);
figure(1)
plot(x, y1)
hold on
plot(x, y2)
patch([x fliplr(x)], [y1 fliplr(y2)], 'g')
hold off
Experiment with your data to get the result you want.
  6 件のコメント
Yash Mistry
Yash Mistry 2021 年 7 月 20 日
how can I avoid that?

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Javier Montalt Tordera
Javier Montalt Tordera 2019 年 4 月 12 日
This can be simplified using the function shade (in MATLAB File Exchange).
The syntax for the above problem would be:
shade(t,y1,t,y2,'FillType',[1 2;2 1]);
The FillType option specifies that the area between lines 1 and 2 should be filled, whether 1 is above 2 or the other way round.
  5 件のコメント
Giacomo Giuliani
Giacomo Giuliani 2022 年 5 月 19 日
編集済み: Giacomo Giuliani 2022 年 5 月 19 日
It came to my minds one second after I posted. It works! Thanks.

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DETELINA IVANOVA
DETELINA IVANOVA 2018 年 4 月 4 日
I am using this last suggestion by Star Strider to plot error bar shading using patch, but in some cases I get in addition to the shading straight lines (see the third plot at the bottom in the attached figure) I have eliminated the points with NaNs. It seems ok in the other two cases (the upper plots in the same figure). What can be causing this?

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