srch

10.06.2017 · numpy.polynomial.chebyshev. chebfit (x, y, deg, rcond=None, full=False, w=None) [source] ¶ Least squares fit of Chebyshev series to data. Return the coefficients of a Chebyshev series of degree deg that is the least squares fit to the data values y given at points x. If y is 1-D the returned coefficients will also be 1-D.

Chebyshev Series (:mod:`numpy.polynomial.chebyshev`) ===== This module provides a number of objects (mostly functions) useful for: dealing with Chebyshev series, including a `Chebyshev` class that: encapsulates the usual arithmetic operations. (General information

Chebyshev Series (numpy.polynomial.chebyshev)¶This module provides a number of objects (mostly functions) useful for dealing with Chebyshev series, including a Chebyshev class that encapsulates the usual arithmetic operations.

numpy.polynomial.chebyshev.chebfit¶. polynomial.chebyshev.chebfit(x, y, deg, rcond=None, full=False, w=None)[source]¶. Least squares fit of Chebyshev series ...

numpy.polynomial.chebyshev.Chebyshev.linspace¶ ... Return x, y values at equally spaced points in domain. Returns the x, y values at n linearly spaced points ...

Nov 12, 2014 · numpy.polynomial.chebyshev.chebfit. ¶. Least squares fit of Chebyshev series to data. Return the coefficients of a Legendre series of degree deg that is the least squares fit to the data values y given at points x. If y is 1-D the returned coefficients will also be 1-D. If y is 2-D multiple fits are done, one for each column of y, and the ...

numpy.polynomial.chebyshev.chebval — NumPy v1.22.dev0 Manual numpy.polynomial.chebyshev.chebval ¶ polynomial.chebyshev.chebval(x, c, tensor=True) [source] ¶ Evaluate a Chebyshev series at points x. If c is of length n + 1, this function returns the value: p ( x) = c 0 ∗ T 0 ( x) + c 1 ∗ T 1 ( x) +... + c n ∗ T n ( x)

numpy.polynomial.chebyshev.Chebyshev¶ class numpy.polynomial.chebyshev. Chebyshev (coef, domain = None, window = None) [source] ¶. A Chebyshev series class. The ...

numpy.polynomial.chebyshev.chebint¶ ... Integrate a Chebyshev series. Returns the Chebyshev series coefficients c integrated m times from lbnd along axis. At each ...

12.11.2014 · numpy.polynomial.chebyshev.chebfit(x, y, deg, rcond=None, full=False, w=None) [source] ¶ Least squares fit of Chebyshev series to data. Return the coefficients of a Legendre series of degree deg that is the least squares fit to the data values y given at points x. If y is 1-D the returned coefficients will also be 1-D.

numpy.polynomial.chebyshev.chebval¶ ... Evaluate a Chebyshev series at points x. ... The parameter x is converted to an array only if it is a tuple or a list, ...

Python. numpy.polynomial.chebyshev.chebinterpolate () Examples. The following are 27 code examples for showing how to use numpy.polynomial.chebyshev.chebinterpolate () . These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by ...

numpy.polynomial.chebyshev.Chebyshev.has_samecoef¶ ... Check if coefficients match. New in version 1.6.0. ... Created using Sphinx 4.2.0.

Chebyshev Series ( numpy.polynomial.chebyshev )¶ ... This module provides a number of objects (mostly functions) useful for dealing with Chebyshev series, ...

numpy.polynomial.chebyshev.chebinterpolate¶ polynomial.chebyshev. chebinterpolate (func, deg, args = ()) [source] ¶ Interpolate a function at the Chebyshev points of the first kind. Returns the Chebyshev series that interpolates func at the Chebyshev points of the first kind in the interval [-1, 1]. The interpolating series tends to a minmax approximation to func with increasing deg if the ...

19.11.2018 · Numpy / Chebyshev Module: get value. Ask Question Asked 3 years, 1 month ago. Active 3 years, 1 month ago. Viewed 220 times 0 I have built a Chebyshev polynomial based on given values. x = [1000,1001,1002,1003 ...

numpy.polynomial.chebyshev.chebweight¶. polynomial.chebyshev.chebweight(x)[source]¶. The weight function of the Chebyshev polynomials.

numpy.polynomial.chebyshev.Chebyshev¶ ... A Chebyshev series class. The Chebyshev class provides the standard Python numerical methods '+', '-', '*', '//', '%', ' ...

numpy.polynomial.chebyshev.chebfit ¶ polynomial.chebyshev.chebfit(x, y, deg, rcond=None, full=False, w=None) [source] ¶ Least squares fit of Chebyshev series to data. Return the coefficients of a Chebyshev series of degree deg that is the least squares fit to the data values y given at points x.

numpy.polynomial.chebyshev.chebfit. ¶. Least squares fit of Chebyshev series to data. Return the coefficients of a Chebyshev series of degree deg that is the least squares fit to the data values y given at points x. If y is 1-D the returned coefficients will also be 1-D. If y is 2-D multiple fits are done, one for each column of y, and the ...

numpy.polynomial.chebyshev.Chebyshev¶ class numpy.polynomial.chebyshev. Chebyshev (coef, domain = None, window = None) [source] ¶. A Chebyshev series class. The ...

numpy.polynomial.chebyshev.chebval ¶. numpy.polynomial.chebyshev.chebval. ¶. Evaluate a Chebyshev series at points x. The parameter x is converted to an array only if it is a tuple or a list, otherwise it is treated as a scalar. In either case, either x or its elements must support multiplication and addition both with themselves and with the ...

Chebyshev Series (numpy.polynomial.chebyshev) — NumPy v1.22 Manual New in version 1.4.0. Chebyshev Series ( numpy.polynomial.chebyshev) ¶ This module provides a number of objects (mostly functions) useful for dealing with Chebyshev series, including a Chebyshev class that encapsulates the usual arithmetic operations.

numpy.polynomial.chebyshev.Chebyshev.fit¶ ... Least squares fit to data. Return a series instance that is the least squares fit to the data y sampled at x. The ...

Plot noisy data and their polynomial fit in a Chebyshev basis import numpy as np import matplotlib.pyplot as plt np.random.seed(0) x = np.linspace(-1, 1, 2000) y = np.cos(x) + 0.3*np.random.rand(2000) p = np.polynomial.Chebyshev.fit(x, y, 90) plt.plot(x, y, 'r.') plt.plot(x, p(x), 'k-', lw=3) plt.show()

numpy.polynomial.chebyshev.chebmul. ¶. Multiply one Chebyshev series by another. Returns the product of two Chebyshev series c1 * c2. The arguments are sequences of coefficients, from lowest order “term” to highest, e.g., [1,2,3] represents the series T_0 + 2*T_1 + 3*T_2. 1-D arrays of Chebyshev series coefficients ordered from low to high.

numpy.polynomial.chebyshev.chebinterpolate¶ ... Interpolate a function at the Chebyshev points of the first kind. Returns the Chebyshev series that interpolates ...