陰関数の描画時におい​て、(x,y)座標を​変数にとりこみたい。

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高木 範明
高木 範明 on 8 Nov 2023
Commented: 高木 範明 on 9 Nov 2023
AppDesignerにおいて、fimplicitでグラフを作成した時、その(x,y)の値をCSVファイルで取り込みたいのですが、うまく行きません。
ImplicitFunctionLineプロパティには、XDataやYDataがあるようですが、次のように記載しても、データがとれません。
また、エラーも発生しません。どこが間違っているのかご教示いただければ幸いです。
　　fimplicit(app.UIAxes,@(x,y) x.^2 + y.^2 -3, 'MeshDensity', 151, 'XData',app.XX, 'YData', app.YY);
  2 Comments
Dyuman Joshi
Dyuman Joshi on 8 Nov 2023
But fimplicit does not require any data to plot.
And the XData and YData properties are Read-only. They can't be modified.
What is it that you want to plot? What is the idea/objective here?
高木 範明
高木 範明 on 8 Nov 2023
Thank you for your quick response to my question.
I would like to get the coordinates of (x,y) on the fimplicit,
and use (x,y) for numerical analysis.

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Accepted Answer

Akira Agata
Akira Agata on 9 Nov 2023
Ran in:
ImplicitFunctionLine の XData, YData プロパティは陰関数を描画した際に生成されます。
以下のようにすると、生成後の XData, YData を取得することができます。
% 陰関数を描画
figure
h = fimplicit(@(x,y) x.^2 + y.^2 -3);
% XData, YDataプロパティを取得
x = h.XData;
y = h.YData;
% 表示
disp([x', y'])
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0.1155 1.7282 0.1386 1.7265 0.1617 1.7245 0.1847 1.7221 0.2078 1.7195 0.2309 1.7166 0.2540 1.7133 0.2771 1.7097 0.2819 1.7089 0.3002 1.7058 0.3233 1.7016 0.3464 1.6970 0.3695 1.6921 0.3926 1.6870 0.3973 1.6858 0.4157 1.6814 0.4388 1.6755 0.4619 1.6693 0.4850 1.6628 0.4851 1.6627 0.5081 1.6558 0.5312 1.6486 0.5542 1.6410 0.5581 1.6397 0.5773 1.6330 0.6004 1.6246 0.6219 1.6166 0.6235 1.6159 0.6466 1.6068 0.6697 1.5973 0.6788 1.5935 0.6928 1.5874 0.7159 1.5771 0.7306 1.5704 0.7390 1.5665 0.7621 1.5553 0.7783 1.5473 0.7852 1.5438 0.8083 1.5319 0.8226 1.5242 0.8314 1.5195 0.8545 1.5066 0.8641 1.5011 0.8776 1.4932 0.9007 1.4795 0.9030 1.4780 0.9237 1.4651 0.9398 1.4549 0.9468 1.4503 0.9699 1.4350 0.9746 1.4318 0.9930 1.4191 1.0077 1.4087 1.0161 1.4026 1.0392 1.3857 1.0393 1.3856 1.0623 1.3680 1.0693 1.3625 1.0854 1.3497 1.0981 1.3394 1.1085 1.3308 1.1257 1.3163 1.1316 1.3113 1.1522 1.2932 1.1547 1.2910 1.1776 1.2702 1.1778 1.2700 1.2009 1.2482 1.2020 1.2471 1.2240 1.2255 1.2255 1.2240 1.2471 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1.7319 0.0231 1.7320 0.0037
  1 Comment
高木 範明
高木 範明 on 9 Nov 2023
私の希望していましたデータが得られました。
どうもありがとうございました。

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