def __init__(self, fig, dmp, options):
# Connect handler to self
DofMapHandler.__init__(self, dmp, options)
fig.canvas.mpl_connect('key_press_event', self)
mesh = self.mesh
self.gdim = mesh.geometry().dim()
self.tdim = mesh.topology().dim()
# Make sure we have global indicies for all mesh entities
for tdim in range(self.tdim+1):
dmt_number_entities(mesh, tdim)
# Get axes based on 2d or 3d
self.fig = fig
self.axes = fig.gca(projection='3d') if self.gdim > 2 else fig.gca()
# Labels and plotting flags for mesh entities of topological
# dimension 0, 1, 2, 3
self.mesh_entity_labels = {i: {} for i in range(4)}
self.showing_all_mesh_entities = {i: False for i in range(4)}
# Color for plotting enties
cmap = get_cmap(options['colors']['mesh_entities'])
N = cmap.N
self.mesh_entity_colors = {i: cmap(i**2*N/10) for i in range(4)}
def __init__(self, fig, dmp, options):
# Connect handler to self
DofMapHandler.__init__(self, dmp, options)
fig.canvas.mpl_connect('key_press_event', self)
mesh = self.mesh
self.gdim = mesh.geometry().dim()
self.tdim = mesh.topology().dim()
# Make sure we have global indicies for all mesh entities
for tdim in range(self.tdim + 1):
dmt_number_entities(mesh, tdim)
# Get axes based on 2d or 3d
self.fig = fig
self.axes = fig.gca(projection='3d') if self.gdim > 2 else fig.gca()
# Labels and plotting flags for mesh entities of topological
# dimension 0, 1, 2, 3
self.mesh_entity_labels = {i: {} for i in range(4)}
self.showing_all_mesh_entities = {i: False for i in range(4)}
# Color for plotting enties
cmap = get_cmap(options['colors']['mesh_entities'])
N = cmap.N
self.mesh_entity_colors = {i: cmap(i**2 * N / 10) for i in range(4)}
def __init__(self, fig, dmp, options):
# Connect figure to self
DofMapHandler.__init__(self, dmp, options)
fig.canvas.mpl_connect('key_press_event', self)
# Get axes based on 2d or 3d
gdim = self.mesh.geometry().dim()
ax = fig.gca(projection='3d') if gdim > 2 else fig.gca()
self.axes = ax
self.fig = fig
# Get the markersize
self.markersize = options['markersize'] if not options['xkcd'] else 0
# See which dofmaps will be plotted and which subspaces are used
self.component = options['component']
self.dofmaps = dmp.dofmaps
self.elements = dmp.elements
self.bounds = dmp.bounds
# Get ownership range. To be used with global ordering scheme
self.first_dof = self.dofmaps[0].ownership_range()[0]
# Get indices of subspaces to which component belongs
self.subspace_index = subspace_index(self.component, self.bounds)
# Unique subspaces
self.subspaces = set(self.subspace_index)
# Plot of dofs is a scatter for node/dof position
# and text for label.
self.showing_all_dofs = False
self.scatter_objects = {}
self.text_objects = {}
# Scatter objects require position
self.positions = {}
# Taxt objects require numbering of dofs and position
self.labels = {}
# Notify in terminal and set the window title
self.printer('Plotting dofmaps ' + str(self.component), 'blue')
title = 'Figure %d : Dofs of %s' % (self.fig_num, str(self.component))
if self.mpi_size > 1:
title = ' '.join([title, 'on process %d' % self.mpi_rank])
fig.canvas.set_window_title(title)
def __init__(self, fig, dmp, options):
# Connect figure to self
DofMapHandler.__init__(self, dmp, options)
fig.canvas.mpl_connect('key_press_event', self)
# Get axes based on 2d or 3d
gdim = self.mesh.geometry().dim()
ax = fig.gca(projection='3d') if gdim > 2 else fig.gca()
self.axes = ax
self.fig = fig
# Get the markersize
self.markersize = options['markersize'] if not options['xkcd'] else 0
# See which dofmaps will be plotted and which subspaces are used
self.component = options['component']
self.dofmaps = dmp.dofmaps
self.elements = dmp.elements
self.bounds = dmp.bounds
# Get ownership range. To be used with global ordering scheme
self.first_dof = self.dofmaps[0].ownership_range()[0]
# Get indices of subspaces to which component belongs
self.subspace_index = subspace_index(self.component, self.bounds)
# Unique subspaces
self.subspaces = set(self.subspace_index)
# Plot of dofs is a scatter for node/dof position
# and text for label.
self.showing_all_dofs = False
self.scatter_objects = {}
self.text_objects = {}
# Scatter objects require position
self.positions = {}
# Taxt objects require numbering of dofs and position
self.labels = {}
# Notify in terminal and set the window title
self.printer('Plotting dofmaps ' + str(self.component), 'blue')
title = 'Figure %d : Dofs of %s' % (self.fig_num, str(self.component))
if self.mpi_size > 1:
title = ' '.join([title, 'on process %d' % self.mpi_rank])
fig.canvas.set_window_title(title)