def scatter(self, *args, **kwargs):
"""
If the **mantid3d** projection is chosen, it can be
used the same as :py:meth:`matplotlib.axes.Axes3D.scatter` 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.scatter(workspace) #for workspaces
ax.scatter(x,y,z) #for arrays
fig.show()
For keywords related to workspaces, see :func:`plotfunctions3D.scatter`
"""
if helperfunctions.validate_args(*args):
logger.debug('using plotfunctions3D')
return plotfunctions3D.scatter(self, *args, **kwargs)
else:
return Axes3D.scatter(self, *args, **kwargs)
def scatter(self, *args, **kwargs):
"""
If the **mantid3d** projection is chosen, it can be
used the same as :py:meth:`matplotlib.axes.Axes3D.scatter` 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.scatter(workspace) #for workspaces
ax.scatter(x,y,z) #for arrays
fig.show()
For keywords related to workspaces, see :func:`plotfunctions3D.scatter`
"""
if helperfunctions.validate_args(*args):
logger.debug('using plotfunctions3D')
return plotfunctions3D.scatter(self, *args, **kwargs)
else:
return Axes3D.scatter(self, *args, **kwargs)
def test_3d_scatter(self):
fig = plt.figure()
ax = fig.add_subplot(111, projection='mantid3d')
funcs.scatter(ax, self.ws2d_histo)
funcs.scatter(ax, self.ws_MD_2d)
def test_3d_scatter(self):
fig = plt.figure()
ax = fig.add_subplot(111, projection='mantid3d')
funcs.scatter(ax, self.ws2d_histo)
funcs.scatter(ax, self.ws_MD_2d)