subplot

I have several time series signals (8x8) that I would like to plot using subplot. My data are stored in a matrix called H(x, y, N) where N is the number of points in each signal. I would like to display the 64 signals using subplots. fig = figure(figsize=(12,8)) time = np.arange(0, Nt, 1) for x in range(8): for y in range(8): subplot(8,y+1,x+1) plot(time,H[x,y,:]) What I get is 8 signals in the first row, 4 in the second one, then 2, 2, 1, 1, 1 and 1. That's not how subplot indexing works. From the docs to subplot : subplot(nrows, ncols, plot_number) Where nrows and ncols are used to

Is it possible to automatically generate multiple subplots in matplotlib? An example of the process I want to automate is: import matplotlib.pyplot as plt figure = plt.figure() ax1 = figure.add_subplot(2, 3, 1) ax2 = figure.add_subplot(2, 3, 2) ax3 = figure.add_subplot(2, 3, 3) ax4 = figure.add_subplot(2, 3, 4) ax5 = figure.add_subplot(2, 3, 5) ax6 = figure.add_subplot(2, 3, 6) The subplots need unique names, as this will allow me to do stuff like: for ax in [ax1, ax2, ax3, ax4, ax5, ax6]: ax.set_title("example") Many thanks. Addition: Are there any functions that automate the generation of

I am plotting 9 subplots as shown in figure below with one color bar for three subplots. Here I want to show the highest value in color bar as > value , surprisingly when I manually edit the tick label as h.TickLabels{end} = ['>' h.TickLabels{end}]; the color bar starts repeating the value. When I remove h.TickLabels{end} = ['>' h.TickLabels{end}]; the color bar show no problem. When I change the figure size in set(gcf, 'PaperUnits', 'inches', 'PaperPosition', [0 0 8 8]) as [0 0 5 5] colorbar labeling again changes. How to resolve this error? Below are my working example and output image: data

I have a figure with a lot of subplot, such that the last ticklabel of an axis is written over the first tick label of the next one. See example here As I want to keep the spacing between the subplots as I set it, I would like to have a different alignment depending on the tick, as it could be produced by : plt.xticks([0], ha = 'left') plt.xticks([0.2,0.4], ha = 'center') plt.xticks([0.6], ha = 'right') Using that, only the last call of xticks is shown on the figure. In another way, the idea is to align first and last tick labels such that they stay within the subplot. Hope I'm clear ! Any

I have a (3,4) subplot each showing scatterplots. The ranges of the scatterplots vary so some of my plots have axes x(0-30) and y(0-8), but some have x(18-22) and y(4-7). I have set my xlim to [0 30], and ylim to [0 8] but that sets my axes to never go lower than 0, higher than 30 etc. How do I set my axis to "stick" at (0,0) for the origin of each plot, and "stick" at 8 for Y and 30 for X. TIA for any help update per comment on answer: Still having the same issue with below code %% plot for i = 1:num_bins; h = zeros(ceil(num_bins),1); h(i)=subplot(4,3,i); plotmatrix(current_rpm,current_torque

I am trying to add a legend below a 3-column subplot figure. I have tried the following: fig, ax = plt.subplots(ncols=3) ax[0].plot(data1) ax[1].plot(data2) ax[2].plot(data3) ax_sub = plt.subplot(111) box = ax_sub.get_position() ax_sub.set_position([box.x0, box.y0 + box.height * 0.1,box.width, box.height * 0.9]) ax_sub.legend(['A', 'B', 'C'],loc='upper center', bbox_to_anchor=(0.5, -0.3),fancybox=False, shadow=False, ncol=3) plt.show() However, this creates just one empty frame. When I comment out the ax_sub part, my subplots show up nice (but without a legend...)... Many thanks! This is