I'm trying to add a Colorbar to a spectrogram. I have tried every example and question thread I have found online and none have solved this issue
Note that 'spl1' (data splice 1) is a trace from ObsPy.
My code is:
fig = plt.figure()
ax1 = fig.add_axes([0.1, 0.75, 0.7, 0.2]) #[left bottom width height]
ax2 = fig.add_axes([0.1, 0.1, 0.7, 0.60], sharex=ax1)
ax3 = fig.add_axes([0.83, 0.1, 0.03, 0.6])
t = np.arange(spl1[0].stats.npts) / spl1[0].stats.sampling_rate
ax1.plot(t, spl1[0].data, 'k')
ax,spec = spectrogram(spl1[0].data,spl1[0].stats.sampling_rate, show=False, axes=ax2)
ax2.set_ylim(0.1, 15)
fig.colorbar(spec, cax=ax3)
It comes out with the error:
Traceback (most recent call last):
File "<ipython-input-18-61226ccd2d85>", line 14, in <module>
ax,spec = spectrogram(spl1[0].data,spl1[0].stats.sampling_rate, show=False, axes=ax2)
TypeError: 'Axes' object is not iterable
Best result so far:
Replacing the last 3 lines above with:
ax = spectrogram(spl1[0].data,spl1[0].stats.sampling_rate, show=False, axes=ax2)
ax2.set_ylim(0.1, 15)
fig.colorbar(ax,cax=ax3)
Produces this:
and this error for the colorbar:
axes object has no attribute 'autoscale_None'
I don't seem to be able to find a way to get the colorbar on the right to work.
Solutions?
One of the solutions I have seen is that you need to create an 'image' of your data using imshow(), however I don't get an output for that from Spectrogram(), only 'ax'. I have seen places try with the 'ax,spec' output from spectrogram() but that is causing the TypeError.
I hope someone can give a hand with this - I've been working on this all day now!
Solved it, with help from this link. It doesn't show decibels yet but the primary issue was getting the colorbar:
from obspy.imaging.spectrogram import spectrogram
fig = plt.figure()
ax1 = fig.add_axes([0.1, 0.75, 0.7, 0.2]) #[left bottom width height]
ax2 = fig.add_axes([0.1, 0.1, 0.7, 0.60], sharex=ax1)
ax3 = fig.add_axes([0.83, 0.1, 0.03, 0.6])
#make time vector
t = np.arange(spl1[0].stats.npts) / spl1[0].stats.sampling_rate
#plot waveform (top subfigure)
ax1.plot(t, spl1[0].data, 'k')
#plot spectrogram (bottom subfigure)
spl2 = spl1[0]
fig = spl2.spectrogram(show=False, axes=ax2)
mappable = ax2.images[0]
plt.colorbar(mappable=mappable, cax=ax3)
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