curve-fitting – Read For Learn

Nonlinear regression with python – what’s a simple method to fit this data better?

January 12, 2022 by admin

This example code uses an equation that has two shape parameters, a and b, and an offset term (that does not affect curvature). The equation is “y = 1.0 / (1.0 + exp(-a(x-b))) + Offset” with parameter values a = 2.1540318329369712E-01, b = -6.6744890642157646E+00, and Offset = -3.5241299859669645E-01 which gives an R-squared of 0.988 and … Read more

Linear regression with matplotlib / numpy

December 29, 2021 by admin

arange generates lists (well, numpy arrays); type help(np.arange) for the details. You don’t need to call it on existing lists. I should add that I tend to use poly1d here rather than write out “m*x+b” and the higher-order equivalents, so my version of your code would look something like this: