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polyfit python

LzSu answered on February 25, 2020 Popularity 9/10 Helpfulness 7/10

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polyfit python

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import numpy as np
x = np.array([0.0, 1.0, 2.0, 3.0,  4.0,  5.0])
y = np.array([0.0, 0.8, 0.9, 0.1, -0.8, -1.0])
z = np.polyfit(x, y, 3)#z=array([ 0.08703704, -0.81349206,  1.69312169, -0.03968254]) # may vary
p=np.poly1d(z) #p(0.5)=0.6143849206349179

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Source: docs.scipy.org

Tags: python

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Contributed on Feb 25 2020

LzSu

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In python, Numpy polyfit() is a method that fits the data within a polynomial function. That is, it least squares the function polynomial fit. For example, a polynomial p(X) of deg degree fits the coordinate points (X, Y).

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Source: Grepper

Tags: python

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Contributed on Feb 11 2023

Smoggy Swiftlet

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