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- numpy. poly — NumPy v2. 3 Manual
numpy poly# numpy poly (seq_of_zeros) [source] # Find the coefficients of a polynomial with the given sequence of roots
- numpy. polyfit — NumPy v2. 3 Manual
Since version 1 4, the new polynomial API defined in numpy polynomial is preferred A summary of the differences can be found in the transition guide Fit a polynomial p(x) = p[0] * x**deg + + p[deg] of degree deg to points (x, y)
- Polynomials — NumPy v2. 3 Manual
Polynomials in NumPy can be created, manipulated, and even fitted using the convenience classes of the numpy polynomial package, introduced in NumPy 1 4 Prior to NumPy 1 4, numpy poly1d was the class of choice and it is still available in order to maintain backward compatibility
- Poly1d — NumPy v2. 3 Manual
poly1d (c_or_r[, r, variable]) A one-dimensional polynomial class polyval (p, x) Evaluate a polynomial at specific values poly (seq_of_zeros) Find the coefficients of a polynomial with the given sequence of roots
- numpy. poly1d — NumPy v2. 3 Manual
Since version 1 4, the new polynomial API defined in numpy polynomial is preferred A summary of the differences can be found in the transition guide A convenience class, used to encapsulate “natural” operations on polynomials so that said operations may take on their customary form in code (see Examples)
- numpy. polynomial. polynomial. polyfit — NumPy v2. 3 Manual
numpy polynomial polynomial polyfit# polynomial polynomial polyfit ( x , y , deg , rcond = None , full = False , w = None ) [source] # Least-squares fit of a polynomial to data
- numpy. roots — NumPy v2. 3 Manual
Since version 1 4, the new polynomial API defined in numpy polynomial is preferred A summary of the differences can be found in the transition guide The values in the rank-1 array p are coefficients of a polynomial
- numpy. poly1d. deriv — NumPy v2. 3 Manual
next numpy poly1d integ On this page poly1d deriv
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