def contourf(self, *args, **kwargs):
from art3d_gl import poly_collection_3d_to_gl
offset = kwargs['offset'] if 'offset' in kwargs else None
zdir = kwargs['zdir'] if 'zdir' in kwargs else 'z'
cset = Axes3D.contourf(self, *args, **kwargs)
edgecolor = kwargs.pop('edgecolor', [1, 1, 1, 0])
for z, linec in zip(np.argsort(cset.levels), cset.collections):
convert_to_gl(linec)
linec.convert_2dpath_to_3dpath(z, zdir='z')
linec.do_stencil_test = True
if offset is not None:
if zdir == 'x': linec._gl_offset = (z * 0.001, 0, 0)
elif zdir == 'y': linec._gl_offset = (0, z * 0.001, 0)
else: linec._gl_offset = (0, 0, z * 0.001)
linec.set_edgecolor((edgecolor, ))
return cset
def contourf(self, *args, **kwargs):
from art3d_gl import poly_collection_3d_to_gl
offset = kwargs['offset'] if 'offset' in kwargs else None
zdir = kwargs['zdir'] if 'zdir' in kwargs else 'z'
cset = Axes3D.contourf(self, *args, **kwargs)
edgecolor = kwargs.pop('edgecolor', [1,1,1,0])
for z, linec in zip(np.argsort(cset.levels), cset.collections) :
convert_to_gl(linec)
linec.convert_2dpath_to_3dpath(z, zdir = 'z')
linec.do_stencil_test = True
if offset is not None:
if zdir == 'x': linec._gl_offset = (z*0.001, 0, 0)
elif zdir == 'y': linec._gl_offset = (0, z*0.001, 0)
else: linec._gl_offset = (0, 0, z*0.001)
linec.set_edgecolor((edgecolor,))
return cset
def contourf(self, *args, **kwargs):
'''
If the **mantid3d** projection is chosen, it can be
used the same as :py:meth:`matplotlib.axes.Axes3D.contourf` for arrays,
or it can be used to plot :class:`mantid.api.MatrixWorkspace`
or :class:`mantid.api.IMDHistoWorkspace`. You can have something like::
import matplotlib.pyplot as plt
from mantid import plots
...
fig, ax = plt.subplots(subplot_kw={'projection':'mantid3d'})
ax.contourf(workspace) #for workspaces
ax.contourf(x,y,z) #for arrays
fig.show()
For keywords related to workspaces, see :func:`mantid.plots.plotfunctions3D.contourf`
'''
if mantid.plots.helperfunctions.validate_args(*args):
mantid.kernel.logger.debug('using mantid.plots.plotfunctions3D')
return mantid.plots.plotfunctions3D.contourf(self, *args, **kwargs)
else:
return Axes3D.contourf(self, *args, **kwargs)
def contourf(self, *args, **kwargs):
'''
If the **mantid3d** projection is chosen, it can be
used the same as :py:meth:`matplotlib.axes.Axes3D.contourf` for arrays,
or it can be used to plot :class:`mantid.api.MatrixWorkspace`
or :class:`mantid.api.IMDHistoWorkspace`. You can have something like::
import matplotlib.pyplot as plt
from mantid import plots
...
fig, ax = plt.subplots(subplot_kw={'projection':'mantid3d'})
ax.contourf(workspace) #for workspaces
ax.contourf(x,y,z) #for arrays
fig.show()
For keywords related to workspaces, see :func:`mantid.plots.plotfunctions3D.contourf`
'''
if mantid.plots.helperfunctions.validate_args(*args):
mantid.kernel.logger.debug('using mantid.plots.plotfunctions3D')
return mantid.plots.plotfunctions3D.contourf(self, *args, **kwargs)
else:
return Axes3D.contourf(self, *args, **kwargs)
