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New in version 1.6.0.
Legendre Series (numpy.polynomial.legendre)
This module provides a number of objects (mostly functions) useful for dealing with Legendre series, including a Legendre class that encapsulates the usual arithmetic operations. (General information on how this module represents and works with such polynomials is in the docstring for its “parent” sub-package, numpy.polynomial).
Classes
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      A Legendre series class.  | 
     
Constants
Arithmetic
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      Add one Legendre series to another.  | 
     
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      Subtract one Legendre series from another.  | 
     
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      Multiply a Legendre series by x.  | 
     
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      Multiply one Legendre series by another.  | 
     
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      Divide one Legendre series by another.  | 
     
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      Raise a Legendre series to a power.  | 
     
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      Evaluate a Legendre series at points x.  | 
     
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      Evaluate a 2-D Legendre series at points (x, y).  | 
     
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      Evaluate a 3-D Legendre series at points (x, y, z).  | 
     
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      Evaluate a 2-D Legendre series on the Cartesian product of x and y.  | 
     
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      Evaluate a 3-D Legendre series on the Cartesian product of x, y, and z.  | 
     
Calculus
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      Differentiate a Legendre series.  | 
     
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      Integrate a Legendre series.  | 
     
Misc Functions
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      Generate a Legendre series with given roots.  | 
     
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      Compute the roots of a Legendre series.  | 
     
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      Pseudo-Vandermonde matrix of given degree.  | 
     
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      Pseudo-Vandermonde matrix of given degrees.  | 
     
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      Pseudo-Vandermonde matrix of given degrees.  | 
     
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      Gauss-Legendre quadrature.  | 
     
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      Weight function of the Legendre polynomials.  | 
     
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      Return the scaled companion matrix of c.  | 
     
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      Least squares fit of Legendre series to data.  | 
     
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      Remove “small” “trailing” coefficients from a polynomial.  | 
     
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      Legendre series whose graph is a straight line.  | 
     
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      Convert a Legendre series to a polynomial.  | 
     
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      Convert a polynomial to a Legendre series.  | 
     
See also
numpy.polynomial
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 https://numpy.org/doc/1.20/reference/routines.polynomials.legendre.html