
Polar plot using polyfit
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Ramesh Bala
on 14 Oct 2020
Answered: Image Analyst
on 14 Oct 2020
I'm trying to fit the VALUES to make a polar plot but it seems I couldn't fit one value 1400e2 which the polyfit doesn't take it? what other function should I use to make the polar plot correct so that it contains the values exactly at that degree ?
VGV = [ 2000e2 1800e2 1600e2 1400e2 ]; % [0 45 90 135 ]
angle = (pi/180).* [ 0 45 90 135 ];
alpha = (0:0.1:360);
alpha1 = (pi/180).*(0:0.1:360);
for k=1:1:length(alpha)
p = polyfit(angle,VGV,2);
f = polyval(p,alpha1(1:1:901));
f1 = fliplr(f(1:1:900));
f2 = fliplr(f1);
f3 = fliplr(f2);
Vp = [ f f1 f2 f3];
end
figure;polar(alpha1(1:1:3601),Vp,'o')
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Accepted Answer
Image Analyst
on 14 Oct 2020
It seems you want to fit a section between 0 and 135 degrees, then squish that to between 0 and 90, then replicate that around the circle for all 360 degrees. Seems kinds weird, but okay, whatever...
clc; % Clear the command window.
close all; % Close all figures (except those of imtool.)
clear; % Erase all existing variables. Or clearvars if you want.
workspace; % Make sure the workspace panel is showing.
format long g;
format compact;
fontSize = 22;
fprintf('Beginning to run %s.m ...\n', mfilename);
% Create training data.
VGV = [ 2000e2 1800e2 1600e2 1400e2 ]; % [0 45 90 135 ]
angleDegrees = [ 0 45 90 135 ];
angleRadians = (pi/180).* angleDegrees;
% Plot training data
polar(angleRadians, VGV, 'bo')
% Fit a quadratic
coefficients = polyfit(angleRadians, VGV, 1)
% Create 90 more angles to fit between our training angles.
alpha = linspace(min(angleRadians), max(angleRadians), 90);
% Get a fit over 0-135 degrees only.
vFit = polyval(coefficients, alpha);
% Plot fitted data:
hold on;
% Make other quadrants
vFit360 = [vFit, fliplr(vFit), vFit, fliplr(vFit)];
t = linspace(0, 2*pi, length(vFit360));
polar(alpha, vFit, 'r-')
polar(t, vFit360, 'b-')
% figure
% plot(t, vFit360, 'b-');
% hold on;
% plot(alpha, vFit, 'r-', 'LineWidth', 2);
fprintf('Done running %s.m ...\n', mfilename);

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More Answers (2)
Alan Stevens
on 14 Oct 2020
I'm somewhat confused by your question and don't understand the need for all the flip commands! However, does the following meet your needs at all (incidentally, angle vs VGV is a straight line, so you don't need to get polyfit to fit a quadratic):
VGV = [ 2000e2 1800e2 1600e2 1400e2 ]; % [0 45 90 135 ]
angle = (pi/180).* [ 0 45 90 135 ];
alpha = (0:0.1:360);
alpha1 = (pi/180).*(0:0.1:360);
for k=1:1:length(alpha)
p = polyfit(angle,VGV,1);
f = polyval(p,alpha1);
% f1 = fliplr(f(1:1:900));
% f2 = fliplr(f1);
% f3 = fliplr(f2);
%
% Vp = [ f f1 f2 f3];
end
figure;
polarplot(alpha1,f,angle,VGV,'o')
This results in

Image Analyst
on 14 Oct 2020
First of all, polyfit does not need to be inside a loop since angle and VGV don't change inside the loop.
Next, you can fit a line, order 1, instead of a quadratic of order 2 since your VGV is linear.
Next, you have only 2 coefficients for p instead of 900.
% Create training data.
VGV = [ 2000e2 1800e2 1600e2 1400e2 ]; % [0 45 90 135 ]
angle = (pi/180).* [ 0 45 90 135 ];
% Create more angles to fit between our training angles.
alpha = (pi/180).*(0:0.1:360);
% Plot training data
polar(angle, VGV, 'bo')
% Fit a quadratic
coefficients = polyfit(angle, VGV, 1);
% Get a fit
vFit = polyval(coefficients, alpha);
% Plot fitted data:
hold on;
polar(alpha(1:1:3601), vFit, '-')

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