doc (gallery): datasets

[fatmai]

• [x] volume.py (include plot, vmin, vmax, nans)
• [x] volume2D.py (include plot, vmins, vmaxs, colormaps)
• [x] volumeRGB.py (include plot, alpha)
• [x] vertex.py
• [x] vertex2D.py
• [x] vertexRGB.py
• [ ] volume_from_masked_data.py
• [ ] volume_from_custom_mask.py
• [ ] volume_movie.py
• [x] volume_to_vertex.py (include mapping @ different depths?)
• [x] dataset_arithmetic.py
• [ ] remask_volume.py

[fatmai]

To demonstrate how a random array can be converted to a Volume: Option 1:

data = np.random.rand(*cortex.db.get_xfm('S1', 'fullhead').shape)
volume = cortex.Volume(data=data, subject='S1', xfmname='fullhead')

Option 2: volume = cortex.Volume.random(subject=‘S1’, xfmname=‘fullhead’)