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I am trying to translate the following MATLAB code to Python. In MATLAB, the code dynamically updates a single plot for multiple iterations (n = 1:100), and each update displays the interpolation alongside the original function.

for n = 1:100
    [err, t, f, x, p] = intlag(n);
    plot(x, sin(x), '-r', x, p, '-b'); % 1./(5*x.*x+1)
    axis([-1 1 -2 2])
    legend('fonction', 'interpolant')
    title(['t = ', num2str(n)])
    drawnow
end

enter image description here

I attempted to use matplotlib with plt.ion() and plt.pause(), but I couldn't achieve the same smooth dynamic updates. Also, I want to ensure that all updates occur in a single figure.

Can someone help me write a Python equivalent for this functionality?

Improve this question
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  • Does Matlab clear the plot before each new update or does it accumulate? Commented Jan 7 at 20:45
  • Is there a reason you want to use this approach over FuncAnimation? Commented Jan 7 at 20:46
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