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python Programming Glossary: pcov

SciPy instead of GNU Octave

http://stackoverflow.com/questions/12343271/scipy-instead-of-gnu-octave

x ... ynoisy y np.random.normal 0 0.2 size len x popt pcov scipy.optimize.curve_fit func x ynoisy popt array 3.00015527..

gaussian fit with scipy.optimize.curve_fit in python with wrong results

http://stackoverflow.com/questions/14459340/gaussian-fit-with-scipy-optimize-curve-fit-in-python-with-wrong-results

x y 'ok' #Overplot the dots # Try to fit the result popt pcov curve_fit gauss_function x y The problem is that the results.. deviation meam sum x y sigma sum y x m 2 #do the fit popt pcov curve_fit gauss_function x y p0 1 mean sigma #plot the fit results..

Getting standard errors on fitted parameters using the optimize.leastsq method in python

http://stackoverflow.com/questions/14581358/getting-standard-errors-on-fitted-parameters-using-the-optimize-leastsq-method-i

variance ie. s_sq func popt args 2 .sum len ydata len p0 pcov pcov s_sq as in curve_fit.py. This is because leastsq outputs.. ie. s_sq func popt args 2 .sum len ydata len p0 pcov pcov s_sq as in curve_fit.py. This is because leastsq outputs the..

Fitting a 3D array of data to a 1D function with numpy or scipy

http://stackoverflow.com/questions/15094619/fitting-a-3d-array-of-data-to-a-1d-function-with-numpy-or-scipy

def fit data guess n data.shape 0 leng np.arange n param pcov optimize.curve_fit f leng data guess return param pcov where.. pcov optimize.curve_fit f leng data guess return param pcov where data is a threedimensional array shape x y z and I would..

Matplotlib, adding text with more than one line. Adding text that can follow the curve

http://stackoverflow.com/questions/17252790/matplotlib-adding-text-with-more-than-one-line-adding-text-that-can-follow-the

2 def f x a0 a1 a2 a3 return a0 a1 x a2 x 2 a3 x 3 popt pcov curve_fit f xs ys p0 1 1 1 1 a0 a1 a2 a3 popt ax pylab.gca derivative..

Solve equation with a set of points

http://stackoverflow.com/questions/18619131/solve-equation-with-a-set-of-points

the best fit parameters and the covariance matrix #popt pcov curve_fit myFunc x yn popt pcov curve_fit myFunc x y print popt.. covariance matrix #popt pcov curve_fit myFunc x yn popt pcov curve_fit myFunc x y print popt print pcov #plot the data clf.. x yn popt pcov curve_fit myFunc x y print popt print pcov #plot the data clf #matplotlib plot x y rs #overplot the best..