def test_2d_contours(self):
fig, ax = plt.subplots()
funcs.contour(ax, self.ws2d_histo_rag)
funcs.contourf(ax, self.ws2d_histo, vmin=0)
funcs.tricontour(ax, self.ws_MD_2d)
funcs.tricontourf(ax, self.ws_MD_2d)
self.assertRaises(ValueError, funcs.contour, ax, self.ws2d_point_uneven)
def test_2d_contours(self):
fig, ax = plt.subplots()
funcs.contour(ax, self.ws2d_histo_rag)
funcs.contourf(ax, self.ws2d_histo, vmin=0)
funcs.tricontour(ax, self.ws_MD_2d)
funcs.tricontourf(ax, self.ws_MD_2d)
self.assertRaises(ValueError, funcs.contour, ax, self.ws2d_point_uneven)
def tricontour(self, *args, **kwargs):
"""
If the **mantid** projection is chosen, it can be
used the same as :py:meth:`matplotlib.axes.Axes.tricontour` 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':'mantid'})
ax.tricontour(workspace) #for workspaces
ax.tricontour(x,y,z) #for arrays
fig.show()
For keywords related to workspaces, see :func:`plotfunctions.tricontour`
"""
if helperfunctions.validate_args(*args):
logger.debug('using plotfunctions')
workspace = args[0]
return self.track_workspace_artist(workspace,
plotfunctions.tricontour(self, *args, **kwargs))
else:
return Axes.tricontour(self, *args, **kwargs)
def tricontour(self, *args, **kwargs):
"""
If the **mantid** projection is chosen, it can be
used the same as :py:meth:`matplotlib.axes.Axes.tricontour` 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':'mantid'})
ax.tricontour(workspace) #for workspaces
ax.tricontour(x,y,z) #for arrays
fig.show()
For keywords related to workspaces, see :func:`plotfunctions.tricontour`
"""
if helperfunctions.validate_args(*args):
logger.debug('using plotfunctions')
workspace = args[0]
return self.track_workspace_artist(
workspace, plotfunctions.tricontour(self, *args, **kwargs))
else:
return Axes.tricontour(self, *args, **kwargs)