Time Series Plotted With Imshow

I tried to make the title as clear as possible although I am not sure it is completely limpid. I have three series of data (number of events along time). I would like to do a subpl

Solution 1:

Using fig.subplots_adjust(hspace=0) sets the vertical (height) space between subplots to zero but doesn't adjust the vertical space within each subplot. By default, plt.imshow has a default aspect ratio (rc image.aspect) usually set such that pixels are squares so that you can accurately recreate images. To change this use aspect='auto' and adjust the ylim of your axes accordingly.

For example:

# you don't need all the `expand_dims` and `vstack`ing.  Use `reshape`
x0 = np.linspace(5, 0, 25).reshape(1, -1)
x1 = x0**6
x2 = x0**2

fig, axes = plt.subplots(3, 1, sharex=True)
fig.subplots_adjust(hspace=0)

for ax, x inzip(axes, (x0, x1, x2)):
    ax.imshow(x, cmap='autumn_r', aspect='auto') 
    ax.set_ylim(-0.5, 0.5) # alternatively pass extent=[0, 1, 0, 24] to imshow
    ax.set_xticks([]) # remove all xticks
    ax.set_yticks([]) # remove all yticks

plt.show()

yields

To add a colorbar, I recommend looking at this answer which uses fig.add_axes() or looking at the documentation for AxesDivider (which I personally like better).