def plots_3d(self, ts, outpath, prefix=''):
c_iso = 10 ; r_iso=10
kinds = ['contourf', 'contour']
views = ( (14, -21), (28, 17), (5, -13), (48, -14), (14,-155) ) #elev, aziumuth
for kind in kinds:
out3d = op.join(outpath, '3dplots_'+kind)
logmkdir(out3d)
for view in views:
spec_surface3d(ts, kind=kind, c_iso=c_iso, r_iso=r_iso,
cmap=cmget('gray'), contour_cmap=cmget('autumn'),
elev=view[0], azim=view[1], xlabel='Time ('+ts.timeunit+')'
)
self.plt_clrsave(op.join(out3d, prefix + 'elev:azi_%s:%s' %
(view[0], view[1])))
def corr_3d(df, **pltkwds):
''' 3d plot suited for correlation analysis. If special "speclabel" keyword is passed, it will
add the "spectral label" to both the x and y-axis. Otherwise, x,y,z labels can be set through
their own keywords.'''
if 'speclabel' in pltkwds:
pltkwds['xlabel']=pltkwds['speclabel']
pltkwds['ylabel']=pltkwds['speclabel']
pltkwds['elev']=pltkwds.pop('elev', 31)
pltkwds['azim']=pltkwds.pop('azim', -52)
return spec_surface3d(df, **pltkwds)
