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  1. PO
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    <p>I'm not entirely sure what you're asking, but here's how I'd go about plotting something along those lines...</p> <p>The aspect ratio for your figure is controlled by the <code>figsize</code> kwarg to <code>plt.figure</code> (or <code>plt.subplots</code>, in this case).</p> <p>The rest you can do with judicious application of <code>annotate</code>.</p> <p>Here's an example:</p> <pre><code>import matplotlib.pyplot as plt import numpy as np # Generate the data data = (np.random.random((20, 2, 2, 1001)) - 0.5).cumsum(axis=-1) # Set up the figure (the figsize is what's going to control your aspect ratio) fig, axes = plt.subplots(nrows=20, ncols=2, sharex=True, figsize=(6, 10)) fig.subplots_adjust(wspace=0.1, hspace=0, bottom=0.05) # Turn off tick labels everywhere for ax in axes.flat: for axis in [ax.xaxis, ax.yaxis]: axis.set_ticklabels([]) # Plot the data color = {(0,0):'red', (0,1):'green', (1,0):'blue', (1,1):'magenta'} for (i,j), ax in np.ndenumerate(axes): for k in range(2): ax.plot(data[i,j,k,:], color=color[(j,k)]) # Add stacked titles (and text legends) titles = [['TITLE:', 'Red: Data X', 'Green: Data Y'], ['TITLE:', 'Blue: Data W', 'Magenta: Data Z']] for i, title in enumerate(titles): for text, ypos in zip(title, [35, 20, 5]): axes[0,i].annotate(text, xy=(0.05, 1.0), xytext=(0, ypos), va='bottom', xycoords='axes fraction', textcoords='offset points') # Add arrows on "super-Y" axes xpos, length = -0.1, 5 axes[12,0].annotate('', xy=(xpos, 0), xytext=(xpos, length), xycoords='axes fraction', textcoords='axes fraction', arrowprops=dict(arrowstyle='&lt;|-')) axes[12,0].annotate('{0} subplots'.format(length), xy=(xpos, length/2.0), xycoords='axes fraction', rotation=90, va='center', ha='right') # Add arrows on "super-X" axes ypos, length = -0.7, 1000 axes[-1,0].annotate('', xy=(0, ypos), xytext=(length, ypos), xycoords=('data', 'axes fraction'), textcoords=('data', 'axes fraction'), arrowprops=dict(arrowstyle='&lt;|-')) axes[-1,0].annotate('{0} data units'.format(length), xy=(length/2.0, ypos), xytext=(0, 5), xycoords=('data', 'axes fraction'), textcoords='offset points', ha='center', va='bottom') plt.show() </code></pre> <p><img src="https://i.stack.imgur.com/wTWjG.png" alt="enter image description here"></p>
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    1. POHelp with making a big subplot look nicer and clearer
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    1. USJoe Kington
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    1. COYe that was almost something liek that i wanted.. the only thing is that i need 2 superY arrows (each column have differente scale) and i want that the ticks who were supposed to be on the grapchis go to the arrow (i want that arrow to show what is the y scale for each column...)... got the idea??
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      1. USRodrigo Forti
    2. COBtw, I got to make the 2nd arrows, just need to make it shows the scale of the graphics... And the arrows need to have a title also (something like Time points(s))
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      1. USRodrigo Forti
 

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