| description | name | display_as | order | permalink | thumnail_github | layout | language | page_type |
|---|---|---|---|---|---|---|---|---|
How to make Log Plots plots in MATLAB<sup>®</sup> with Plotly. | Log Plots | scientific | 5 | matlab/log-plot/ | log-plot.png | base | matlab | u-guide |
Define x as a vector of 50 logarithmically spaced numbers on the interval [10-1,102]. Define y as 2x. Then plot x and y, and call the grid function to show the grid lines.
x = logspace(-1,2); y = 2.^x; loglog(x,y) grid on fig2plotly(gcf); Create a vector of x-coordinates and two vectors of y-coordinates. Plot two lines by passing comma-separated x-y pairs to loglog.
x = logspace(-1,2); y1 = 10.^x; y2 = 1./10.^x; loglog(x,y1,x,y2) grid on fig2plotly(gcf); Alternatively, you can create the same plot with one x-y pair by specifying y as a matrix: loglog(x,[y1;y2]).
Create a set of x- and y-coordinates and display them in a log-log plot.
x = logspace(-1,2,10000); y = 5 + 3*sin(x); loglog(x,y) fig2plotly(gcf); Call the yticks function to position the y-axis tick values at whole number increments along the y-axis. Then create x- and y-axis labels by calling the xlabel and ylabel functions.
x = logspace(-1,2,10000); y = 5 + 3*sin(x); loglog(x,y) yticks([3 4 5 6 7]) xlabel('x') ylabel('5 + 3 sin(x)') fig2plotly(gcf); Create a set of x- and y-coordinates and display them in a log-log plot. Specify the line style as 's' to display square markers without connecting lines. Specify the marker fill color as the RGB triplet [0 0.447 0.741], which corresponds to a dark shade of blue.
x = logspace(-1,2,20); y = 10.^x; loglog(x,y,'s','MarkerFaceColor',[0 0.447 0.741]) grid on fig2plotly(gcf); Create two sets of x- and y-coordinates and display them in a log-log plot. Display a legend in the upper left corner of the plot by calling the legend function and specifying the location as 'northwest'.
x = logspace(-1,2,10000); y1 = 5 + 3*sin(x/4); y2 = 5 - 3*sin(x/4); loglog(x,y1,x,y2,'--') legend('Signal 1','Signal 2','Location','northwest') fig2plotly(gcf); When you specify only one coordinate vector, loglog plots those coordinates against the values 1:length(y). For example, define y as a vector of 6 values between 0.001 and 100. Create a log-log plot of y.
y = [0.001 0.01 0.1 1 10 100]; loglog(y) grid on fig2plotly(gcf); If you specify y as a matrix, the columns of y are plotted against the values 1:size(y,1). For example, define y as a 5-by-3 matrix and pass it to the loglog function. The resulting plot contains 3 lines, each of which has x-coordinates that range from 1 to 5.
y = [0.0010 0.0100 0.1000 0.0100 0.1000 1.0000 0.1000 1.0000 10.0000 1.0000 10.5000 100.0000 10.0000 100.0000 1000.0000]; loglog(y) grid on fig2plotly(gcf); Create a tiled chart layout in the 'flow' tile arrangement, so that the axes fill the available space in the layout. Next, call the nexttile function to create an axes object and return it as ax1. Then display a log-log plot by passing ax1 to the loglog function.
tiledlayout('flow') ax1 = nexttile; x = logspace(-1,2); y1 = 10.^x; loglog(ax1,x,y1) fig2plotly(gcf); Repeat the process to create a second axes object and a second log-log plot.
tiledlayout('flow') ax1 = nexttile; x = logspace(-1,2); y1 = 10.^x; loglog(ax1,x,y1) ax2 = nexttile; y2 = 1./10.^x; loglog(ax2,x,y2) fig2plotly(gcf); Create a log-log plot containing two lines, and return the line objects in the variable lg.
x = logspace(-1,2); y1 = 10.^x; y2 = 1./10.^x; lg = loglog(x,y1,x,y2); fig2plotly(gcf); Change the width of the first line to 2, and change the color of the second line to purple.
x = logspace(-1,2); y1 = 10.^x; y2 = 1./10.^x; lg = loglog(x,y1,x,y2); lg(1).LineWidth = 2; lg(2).Color = [0.4 0 1]; fig2plotly(gcf); zeta = [0.01 .02 0.05 0.1 .2 .5 1 ]; colors = ['r' 'g' 'b' 'c' 'm' 'y' 'k']; w = logspace(-1, 1, 1000); figure; for i = 1:7 a = w.^2 - 1; b = 2*w*zeta(i); gain = sqrt(1./(a.^2 + b.^2)); loglog(w, gain, 'color', colors(i), 'linewidth', 2); hold on; end axis([0.1 10 0.01 100]); title('|G|[omega] vs omega'); xlabel('omega'); ylabel('|G|[omega]'); fig2plotly(gcf); eb = 0:5; SER = [0.1447 0.1112 0.0722 0.0438 0.0243 0.0122]; BER = [0.0753 0.0574 0.0370 0.0222 0.0122 0.0061]; fig = figure; semilogy(eb, SER, 'bo-'); hold on; semilogy(eb, BER, 'r^-'); grid on; title('Performance of Baseband QPSK'); xlabel('EbNo (dB)'); ylabel('SER and BER'); fig2plotly(fig); Create a linear-log plot containing two lines, and return the line objects in the variable slg.
x = logspace(-1,2); y1 = x; y2 = -x; slg = semilogx(x,y1,x,y2); fig2plotly(gcf); Change the width of the first line to 3, and change the color of the second line to purple.
x = logspace(-1,2); y1 = x; y2 = -x; slg = semilogx(x,y1,x,y2); slg(1).LineWidth = 3; slg(2).Color = [0.4 0 1]; fig2plotly(gcf); Insert NaN values wherever there are discontinuities in your data. The semilogx function displays gaps at those locations.
Create a pair of x- and y-coordinate vectors. Replace the fortieth y-coordinate with a NaN value. Then create a linear-log plot of x and y.
x = logspace(-1,2); y = x; y(40) = NaN; semilogx(x,y) fig2plotly(gcf); Define vector x as the installments on a 20 year loan. Define vector y as the cumulative cost of a $1000 loan with an interest rate of 8%. Plot the cumulative cost at each installment.
P = 1000; npayments = 240; rate = 0.08/12; mpayment = P*(rate*(1+rate)^npayments)/(((1+rate)^npayments) - 1); x = 1:240; y = x * mpayment; semilogy(x,y); grid on fig2plotly(gcf); Change the y-axis tick values and tick labels by calling the yticks and yticklabels functions. Then create x- and y-axis labels by calling the xlabel and ylabel functions.
P = 1000; npayments = 240; rate = 0.08/12; mpayment = P*(rate*(1+rate)^npayments)/(((1+rate)^npayments) - 1); x = 1:240; y = x * mpayment; semilogy(x,y); grid on yticks([10 50 100 500 1000]) yticklabels({'$10','$50','$100','$500','$1000'}) xlabel ('Installment') ylabel('Cumulate Cost') fig2plotly(gcf); 