一、背景 使用python+matplotlib实现根据数据点拟合3D曲面。实现效果如图1所示: 二、代码 #!/usr/bin/env python3importnumpyasnpfromscipy.optimizeimportcurve_fitfrommpl_toolkits.mplot3dimportAxes3Dimportmatplotlib.pyplotaspltdeffunction(data, a, b, c):''' 拟合曲面使用的函数 '''x = data[0] y = ...
You have NN data pairs of the form (x(i),y(i))(x(i),y(i)). You feed your feature vector x(i)x(i) to your function, and it produces some corresponding scalar value, y(i)y(i), in response. In this case, x(i)x(i) may be a set of measurements for the home: the ...
from scipy.optimize import curve_fit def func(x, a, b, c): return a * np.exp(-b * x) + c # define the data to be fit with some noise xdata = np.linspace(0, 4, 50) #产生0到4之间的50个等距离数字 print("xdata is:",xdata) y = func(xdata, 2.5, 1.3, 0.5) #y= a*e(...
本文简要介绍 python 语言中scipy.optimize.curve_fit的用法。 用法: scipy.optimize.curve_fit(f, xdata, ydata, p0=None, sigma=None, absolute_sigma=False, check_finite=None, bounds=(-inf, inf), method=None, jac=None, *, full_output=False, nan_policy=None, **kwargs)# 使用非线性最小二乘...
【python】scipy.optimize.curve_fit 功能 使用非线性最小平方差来拟合一个函数 功能介绍 官方文档 输入 输出 例子 官方的例子 import numpy as np import matplotlib.pyplot as plt from scipy.optimize import curve_fit def official_demo_func(x, a, b, c):...
开发者ID:gb119,项目名称:Stoner-PythonCode,代码行数:30,代码来源:nDimArrhenius.py 示例2: plane ▲点赞 6▼ # 需要导入模块: from Stoner import Data [as 别名]# 或者: from Stoner.Data importcurve_fit[as 别名]defplane(coord, a, b, c):"""Function to define a plane"""returnc - (coord...
Hi! I have two plots with data, they both look like a part of sinusoid. I have to prove that the changes in these two plots start at the same time by fitting a sinusoid to them. And then I have to make sure that they have the same sinusoidal period. ...
init_guess = ( a_i, x0_i, sig_i) # same order as they are supplied to your function popt, pcov = curve_fit(func, xdata=x,ydata=y,p0=init_guess) 以下是一个简短的示例 xdata = np.linspace(0, 4, 50) mygauss = ( 10,2,0.5) #( amp, center, width) ...
How to fit a curve to my data?. Learn more about curve fitting, plot, plotting, subplot, data, graph MATLAB
[python] view plain copy import numpy as np import matplotlib.pyplot as plt from scipy.optimize import curve_fit def func(x, a, b, c): return a * np.exp(-b * x) + c # define the data to be fit with some noise xdata = np.linspace(0, 4, 50) y = func(xdata,...