Converting MatLAB Code to Matplotlib

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Adwaya
Adwaya 2022-12-31
回答： Naeimeh N 2022-12-31
Is there a way to convert the following MATLAB code to python code with matplotlib?
function [fitresult, gof] = createFit(x, y, z)
%CREATEFIT(X,Y,Z)
% Create a fit.
%
% Data for 'untitled fit 1' fit:
% X Input: x
% Y Input: y
% Z Output: z
% Output:
% fitresult : a fit object representing the fit.
% gof : structure with goodness-of fit info.
%
% See also FIT, CFIT, SFIT.
% Auto-generated by MATLAB on 31-Dec-2022 13:53:58
%% Fit: 'untitled fit 1'.
[xData, yData, zData] = prepareSurfaceData( x, y, z );
% Set up fittype and options.
ft = fittype( 'poly22' );
opts = fitoptions( 'Method', 'LinearLeastSquares' );
opts.Normalize = 'on';
opts.Robust = 'Bisquare';
% Fit model to data.
[fitresult, gof] = fit( [xData, yData], zData, ft, opts );
% Plot fit with data.
figure( 'Name', 'untitled fit 1' );
h = plot( fitresult, [xData, yData], zData );
legend( h, 'untitled fit 1', 'z vs. x, y', 'Location', 'NorthEast', 'Interpreter', 'none' );
% Label axes
xlabel( 'x', 'Interpreter', 'none' );
ylabel( 'y', 'Interpreter', 'none' );
zlabel( 'z', 'Interpreter', 'none' );
grid on

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采纳的回答

Naeimeh N
Naeimeh N 2022-12-31
You can convert any piece of matlab code to python. In this case you can use the scipy.optimize.curve_fit function to fit a polynomial curve to the data, and then use the matplotlib library to plot the results.

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