Open kshtjkumar opened 11 months ago
Currently I am doing this:
fig,ax=plt.subplots(4,1,sharex=True)
clr = ['C0', 'C1', 'C2', 'C3']
plt.subplots_adjust(hspace=0.001)
for i in [0,1,2,3] :
sw.plot_timeseries({"":recording_rhs},color=clr[i],time_range(120,420),channel_ids=recording_rhs.channel_ids[i:i+1],ax = ax[i],show_channel_ids=True)
if i==0:
ax[i].spines[['bottom']].set_visible(False)
ax[i].set_xticks([])
ax[i].get_legend().remove()
elif i in [1,2]:
ax[i].spines[['top','bottom']].set_visible(False)
ax[i].set_xticks([])
ax[i].get_legend().remove()
elif i==3:
ax[i].spines[['top']].set_visible(False)
ax[i].get_legend().remove()
Also, how to show the amplitude range (mV) of each channel in y axis ?
Yeah we should add an option to change the colors. For the values, you can use return_scaled=True
to plot in uV. Currently plotting in mV is not supported.
hi, I am trying to change the colours of the time series plot, is it possible to give a particular colour to a particular channel id ?
recording_rhs.set_channel_groups(channel_ids=recording_rhs.get_channel_ids(), groups=['red', 'green', 'blue', 'black']) w2 = sw.plot_timeseries({"Raw Data": recording_rhs},color_groups=True, time_range=(120, 420),clim = (-50, 50), order_channel_by_depth= False, show_channel_ids=True)#,backend='ipywidgets' )
something like this, but the channel colors are being very different !