Zoom in on a logarithmic axes
4 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
Good day everyone,
I aim to have the standard axes response (in linear values) when zooming in on
a logarithmic distributed frequency axes, but, ... with linkaxes functionality
coupling 2 adjacent figures in the y- (Frequency) direction. How can I acheive this?
My tries are shown in the code below.
close all; clear clc;
%% Mathworks question
n_timepnts = 500 ; % Number of time points
n_freqs = 100 ; % Number of frequency points
Freq = logspace(0,3,n_freqs) ; % Logarithmic distribution
DataArray = rand(n_freqs,n_timepnts) ; % Some arbitrary data array
Spectrum = rand(n_freqs,1).*max(DataArray,[],2) ; % Arbitrary spectrum
time = linspace(0,365,n_timepnts); % Arbitrary time array in days
%% imagesc approach
figure(1);clf
set(1,'Position',[ 28 250 1187 420],'Name','');
ax(1) = subplot(1,9,1:2);
plot(Spectrum,log10(Freq))
xlabel('Spectral max.')
ylabel(' Frequency [Hz]')
title('Arbitrary Spectrum')
grid on;
%---
ax(2) = subplot(1,9,4:9);
imagesc(time,log10(Freq),DataArray)
set(gca,'YDir','normal');
xlabel('Day of Year')
ylabel(' Frequency [Hz]')
title('Spectral data over time')
%---
linkaxes(ax,'y')
Using the contourf approach (not preferred due to slow response)
%% contourf approach
figure(2);clf
set(2,'Position',[ 48 250 1187 420],'Name','');
ax(1) = subplot(1,9,1:2);
semilogy(Spectrum,Freq)
xlabel('Spectral max.')
ylabel(' Frequency [Hz]')
title('Arbitrary Spectrum')
grid on;
%---
[X,Y] = meshgrid(time,log10(Freq));
ax(2) = subplot(1,9,4:9);
contourf(X,Y,DataArray,'LineColor','none')
% contourf(time,Freq,DataArray,'LineColor','none')
set(gca,'YDir','normal');
xlabel('Day of Year')
ylabel(' Frequency [Hz]')
title('Spectral data over time')
%---
% linkaxes(ax,'y')
yields.
Help please!
Kind regards,
Eric
0 commentaires
Réponse acceptée
Kevin Holly
le 5 Nov 2022
You can add Listeners as shown below.
%% Parameters
n_timepnts = 500 ; % Number of time points
n_freqs = 100 ; % Number of frequency points
Freq = logspace(0,3,n_freqs) ; % Logarithmic distribution
DataArray = rand(n_freqs,n_timepnts) ; % Some arbitrary data array
Spectrum = rand(n_freqs,1).*max(DataArray,[],2) ; % Arbitrary spectrum
time = linspace(0,365,n_timepnts); % Arbitrary time array in days
%% contourf approach
figure(2);clf
set(2,'Position',[ 48 250 1187 420],'Name','');
ax(1) = subplot(1,9,1:2);
semilogy(Spectrum,Freq)
xlabel('Spectral max.')
ylabel(' Frequency [Hz]')
title('Arbitrary Spectrum')
grid on;
%---
[X,Y] = meshgrid(time,log10(Freq));
ax(2) = subplot(1,9,4:9);
contourf(X,Y,DataArray,'LineColor','none')
% contourf(time,Freq,DataArray,'LineColor','none')
set(gca,'YDir','normal');
xlabel('Day of Year')
ylabel(' Frequency [Hz]')
title('Spectral data over time')
%---
% Add Listeners
addlistener(ax(1),'YLim', 'PostSet',@(~,events)set(ax(2),'YLim',log10(ax(1).YLim)))
addlistener(ax(2),'YLim', 'PostSet',@(~,events)set(ax(1),'YLim',10.^(ax(2).YLim)))
Plus de réponses (0)
Voir également
Catégories
En savoir plus sur Visual Exploration dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!