How to do exponential and logarithmic curve fitting in Python? I found only polynomial fitting
I have a set of data and I want to compare which line describes it best (polynomials of different orders, exponential or logarithmic).
curve-fitting
How to apply piecewise linear fit in Python?
I am trying to fit piecewise linear fit as shown in fig.1 for a data set
python numpy/scipy curve fitting
I have some points and I am trying to fit curve for this points. I know that there exist scipy.optimize.curve_fit function, but I do not understand documentation, i.e how to use this function.
How do I fit a sine curve to my data with pylab and numpy?
I am trying to show that economies follow a relatively sinusoidal growth pattern. I am building a python simulation to show that even when we let some degree of randomness take hold, we can still produce something relatively sinusoidal.
Fitting a closed curve to a set of points
I have a set of points pts which form a loop and it looks like this:
Python curve_fit with multiple independent variables
Python’s curve_fit calculates the best-fit parameters for a function with a single independent variable, but is there a way, using curve_fit or something else, to fit for a function with multiple independent variables? For example:
How do I calculate r-squared using Python and Numpy?
I’m using Python and Numpy to calculate a best fit polynomial of arbitrary degree. I pass a list of x values, y values, and the degree of the polynomial I want to fit (linear, quadratic, etc.).
Fitting a line in 3D
Are there any algorithms that will return the equation of a straight line from a set of 3D data points? I can find plenty of sources which will give the equation of a line from 2D data sets, but none in 3D.
Python and lmfit: How to fit multiple datasets with shared parameters?
I would like to use the lmfit module to fit a function to a variable number of data-sets, with some shared and some individual parameters.
fitting data with numpy
Let me start by telling that what I get may not be what I expect and perhaps you can help me here. I have the following data: