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。

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);

[Dyuman Joshi]

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]

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.

Answer 1

[Akira Agata]

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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       NaN       NaN
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    1.1257    1.3163
    1.1316    1.3113
    1.1522    1.2932
    1.1547    1.2910
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    1.1778    1.2700
    1.2009    1.2482
    1.2020    1.2471
    1.2240    1.2255
    1.2255    1.2240
    1.2471    1.2020
    1.2482    1.2009
    1.2700    1.1778
    1.2702    1.1776
    1.2910    1.1547
    1.2932    1.1522
    1.3113    1.1316
    1.3163    1.1257
    1.3308    1.1085
    1.3394    1.0981
    1.3497    1.0854
    1.3625    1.0693
    1.3680    1.0623
    1.3856    1.0393
    1.3857    1.0392
    1.4026    1.0161
    1.4087    1.0077
    1.4191    0.9930
    1.4318    0.9746
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    1.4795    0.9007
    1.4932    0.8776
    1.5011    0.8641
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    1.5242    0.8226
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    1.5438    0.7852
    1.5473    0.7783
    1.5553    0.7621
    1.5665    0.7390
    1.5704    0.7306
    1.5771    0.7159
    1.5874    0.6928
    1.5935    0.6788
    1.5973    0.6697
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    1.6159    0.6235
    1.6166    0.6219
    1.6246    0.6004
    1.6330    0.5773
    1.6397    0.5581
    1.6410    0.5542
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    1.6627    0.4851
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    1.7097    0.2771
    1.7133    0.2540
    1.7166    0.2309
    1.7195    0.2078
    1.7221    0.1847
    1.7245    0.1617
    1.7265    0.1386
    1.7282    0.1155
    1.7296    0.0924
    1.7307    0.0693
    1.7314    0.0462
    1.7319    0.0231
    1.7320    0.0037

[高木 範明]

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。