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Tag: polynomials

numpy polynomial.Polynomial.fit() gives different coefficients than polynomial.polyfit()

I do not understand why polynomial.Polynomial.fit() gives coefficients very different from the expected coefficients : Gives : The two first results are OK, and thanks to this answer I understand why the two arrays are in reversed order. However, I do not understand the signification of the third result. The coefficients looks wrong, though the polynomial that I got this

Polynomial fitting with equal number of data points and coefficients

I am currently experimenting with polynomial fitting using jupyter. The function below returns the least-square polynomial of degree m given the data points in xs with corresponding ys. Suppose I have the following six data points and fit a polynomial of degree 5: From my understanding, the resulting curve should pass through every single data point exactly (in fact, the

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