def write_vtk(grid, data, filename_base, codim=2, binary_vtk=True, last_step=None):
'''Output grid-associated data in (legacy) vtk format
Parameters
----------
grid
a |Grid| with triangular or rectilinear reference element
data
VectorArrayInterface instance with either cell (ie one datapoint per codim 0 entity)
or vertex (ie one datapoint per codim 2 entity) data in each array element
filename_base
common component for output files in timeseries
last_step
if set must be <= len(data) to restrict output of timeseries
'''
if not HAVE_PYVTK:
raise ImportError('could not import pyvtk')
if grid.dim != 2 or grid.dim_outer != 2:
raise NotImplementedError
if codim not in (0, 2):
raise NotImplementedError
subentities, coordinates, entity_map = flatten_grid(grid)
x, y = coordinates[:, 0], coordinates[:, 1]
z = np.zeros(len(x))
coords = (x, y, z)
us_grid = _vtk_grid(grid.reference_element, subentities, coords)
if codim == 0:
_write_vtu_series(us_grid, data.data, filename_base, binary_vtk, last_step, True)
else:
_write_vtu_series(us_grid, data.data[:, entity_map], filename_base, binary_vtk, last_step, False)
def __init__(self, figure, grid, bounding_box=None, vmin=None, vmax=None, codim=2,
colorbar=True):
assert grid.reference_element in (triangle, square)
assert grid.dim == 2
assert codim in (0, 2)
subentities, coordinates, entity_map = flatten_grid(grid)
self.subentities = subentities if grid.reference_element is triangle \
else np.vstack((subentities[:, 0:3], subentities[:, [2, 3, 0]]))
self.coordinates = coordinates
self.entity_map = entity_map
self.reference_element = grid.reference_element
self.vmin = vmin
self.vmax = vmax
self.codim = codim
a = figure.gca()
if self.codim == 2:
self.p = a.tripcolor(self.coordinates[:, 0], self.coordinates[:, 1], self.subentities,
np.zeros(len(self.coordinates)),
vmin=self.vmin, vmax=self.vmax, shading='gouraud')
else:
self.p = a.tripcolor(self.coordinates[:, 0], self.coordinates[:, 1], self.subentities,
facecolors=np.zeros(len(self.subentities)),
vmin=self.vmin, vmax=self.vmax, shading='flat')
if colorbar:
figure.colorbar(self.p, ax=a)
def write_vtk(grid, data, filename_base, codim=2, binary_vtk=True, last_step=None):
"""Output grid-associated data in (legacy) vtk format
Parameters
----------
grid
a |Grid| with triangular or rectilinear reference element
data
VectorArrayInterface instance with either cell (ie one datapoint per codim 0 entity)
or vertex (ie one datapoint per codim 2 entity) data in each array element
codim
the codimension associated with the data
filename_base
common component for output files in timeseries
binary_vtk
if false, output files contain human readable inline ascii data, else appended binary
last_step
if set must be <= len(data) to restrict output of timeseries
"""
if not config.HAVE_PYVTK:
raise ImportError('could not import pyevtk')
if grid.dim != 2:
raise NotImplementedError
if codim not in (0, 2):
raise NotImplementedError
subentities, coordinates, entity_map = flatten_grid(grid)
data = data.data if codim == 0 else data.data[:, entity_map].copy()
x, y, z = coordinates[:, 0].copy(), coordinates[:, 1].copy(), np.zeros(coordinates[:, 1].size)
_write_vtu_series(grid, coordinates=(x, y, z), connectivity=subentities, data=data,
filename_base=filename_base, last_step=last_step, is_cell_data=(codim == 0))
def __init__(self,
parent,
grid,
bounding_box=None,
vmin=None,
vmax=None,
codim=2,
dpi=100):
assert grid.reference_element in (triangle, square)
assert grid.dim == 2
assert codim in (0, 2)
self.figure = Figure(dpi=dpi)
super().__init__(self.figure)
subentities, coordinates, entity_map = flatten_grid(grid)
self.subentities = subentities if grid.reference_element is triangle \
else np.vstack((subentities[:, 0:3], subentities[:, [2, 3, 0]]))
self.coordinates = coordinates
self.entity_map = entity_map
self.reference_element = grid.reference_element
self.vmin = vmin
self.vmax = vmax
self.codim = codim
self.setParent(parent)
self.setMinimumSize(300, 300)
self.setSizePolicy(
QSizePolicy(QSizePolicy.Expanding, QSizePolicy.Expanding))
def write_vtk(grid, data, filename_base, codim=2, binary_vtk=True, last_step=None):
"""Output grid-associated data in (legacy) vtk format
Parameters
----------
grid
a |Grid| with triangular or rectilinear reference element
data
VectorArrayInterface instance with either cell (ie one datapoint per codim 0 entity)
or vertex (ie one datapoint per codim 2 entity) data in each array element
filename_base
common component for output files in timeseries
last_step
if set must be <= len(data) to restrict output of timeseries
"""
if not HAVE_PYVTK:
raise ImportError('could not import pyvtk')
if grid.dim != 2 or grid.dim_outer != 2:
raise NotImplementedError
if codim not in (0, 2):
raise NotImplementedError
subentities, coordinates, entity_map = flatten_grid(grid)
x, y = coordinates[:, 0], coordinates[:, 1]
z = np.zeros(len(x))
coords = (x, y, z)
us_grid = _vtk_grid(grid.reference_element, subentities, coords)
if codim == 0:
_write_vtu_series(us_grid, data.data, filename_base, binary_vtk, last_step, True)
else:
_write_vtu_series(us_grid, data.data[:, entity_map], filename_base, binary_vtk, last_step, False)
def write_vtk(grid, data, filename_base, codim=2, binary_vtk=True, last_step=None):
"""Output grid-associated data in (legacy) vtk format
Parameters
----------
grid
A |Grid| with triangular or rectilinear reference element.
data
|VectorArray| with either cell (ie one datapoint per codim 0 entity)
or vertex (ie one datapoint per codim 2 entity) data in each array element.
codim
the codimension associated with the data
filename_base
common component for output files in timeseries
binary_vtk
if false, output files contain human readable inline ascii data, else appended binary
last_step
if set must be <= len(data) to restrict output of timeseries
"""
if not config.HAVE_PYVTK:
raise ImportError('could not import pyevtk')
if grid.dim != 2:
raise NotImplementedError
if codim not in (0, 2):
raise NotImplementedError
subentities, coordinates, entity_map = flatten_grid(grid)
data = data.to_numpy() if codim == 0 else data.to_numpy()[:, entity_map].copy()
x, y, z = coordinates[:, 0].copy(), coordinates[:, 1].copy(), np.zeros(coordinates[:, 1].size)
_write_vtu_series(grid, coordinates=(x, y, z), connectivity=subentities, data=data,
filename_base=filename_base, last_step=last_step, is_cell_data=(codim == 0))
def __init__(self, parent, grid, vmin=None, vmax=None, bounding_box=[[0, 0], [1, 1]], codim=2):
assert grid.reference_element in (triangle, square)
assert grid.dim == 2
assert codim in (0, 2)
super(GlumpyPatchWidget, self).__init__(parent)
self.setMinimumSize(300, 300)
self.setSizePolicy(QSizePolicy(QSizePolicy.Expanding, QSizePolicy.Expanding))
subentities, coordinates, entity_map = flatten_grid(grid)
self.subentities = subentities
self.entity_map = entity_map
self.reference_element = grid.reference_element
self.vmin = vmin
self.vmax = vmax
self.bounding_box = bounding_box
self.codim = codim
self.update_vbo = False
bb = self.bounding_box
self.size = np.array([bb[1][0] - bb[0][0], bb[1][1] - bb[0][1]])
self.scale = 1 / self.size
self.shift = - np.array(bb[0]) - self.size / 2
# setup buffers
if self.reference_element == triangle:
if codim == 2:
self.vertex_data = np.empty(len(coordinates),
dtype=[('position', 'f4', 4), ('color', 'f4', 4)])
self.indices = subentities
else:
self.vertex_data = np.empty(len(subentities) * 3,
dtype=[('position', 'f4', 4), ('color', 'f4', 4)])
self.indices = np.arange(len(subentities) * 3, dtype=np.uint32)
else:
if codim == 2:
self.vertex_data = np.empty(len(coordinates),
dtype=[('position', 'f4', 4), ('color', 'f4', 4)])
self.indices = np.vstack((subentities[:, 0:3], subentities[:, [0, 2, 3]]))
else:
self.vertex_data = np.empty(len(subentities) * 6,
dtype=[('position', 'f4', 4), ('color', 'f4', 4)])
self.indices = np.arange(len(subentities) * 6, dtype=np.uint32)
self.vertex_data['position'][:, 2] = 0
self.vertex_data['position'][:, 3] = 0.5
self.vertex_data['color'] = 1
self.set_coordinates(coordinates)
self.set(np.zeros(grid.size(codim)))
def __init__(self, parent, grid, vmin=None, vmax=None, bounding_box=([0, 0], [1, 1]), codim=2):
assert grid.reference_element in (triangle, square)
assert grid.dim == 2
assert codim in (0, 2)
super().__init__(parent)
self.setMinimumSize(300, 300)
self.setSizePolicy(QSizePolicy(QSizePolicy.Expanding, QSizePolicy.Expanding))
subentities, coordinates, entity_map = flatten_grid(grid)
self.subentities = subentities
self.entity_map = entity_map
self.reference_element = grid.reference_element
self.vmin = vmin
self.vmax = vmax
self.bounding_box = bounding_box
self.codim = codim
self.update_vbo = False
bb = self.bounding_box
self.size = np.array([bb[1][0] - bb[0][0], bb[1][1] - bb[0][1]])
self.scale = 2 / self.size
self.shift = - np.array(bb[0]) - self.size / 2
# setup buffers
if self.reference_element == triangle:
if codim == 2:
self.vertex_data = np.empty(len(coordinates),
dtype=[('position', 'f4', 2), ('color', 'f4', 1)])
self.indices = subentities
else:
self.vertex_data = np.empty(len(subentities) * 3,
dtype=[('position', 'f4', 2), ('color', 'f4', 1)])
self.indices = np.arange(len(subentities) * 3, dtype=np.uint32)
else:
if codim == 2:
self.vertex_data = np.empty(len(coordinates),
dtype=[('position', 'f4', 2), ('color', 'f4', 1)])
self.indices = np.vstack((subentities[:, 0:3], subentities[:, [0, 2, 3]]))
else:
self.vertex_data = np.empty(len(subentities) * 6,
dtype=[('position', 'f4', 2), ('color', 'f4', 1)])
self.indices = np.arange(len(subentities) * 6, dtype=np.uint32)
self.indices = np.ascontiguousarray(self.indices)
self.vertex_data['color'] = 1
self.set_coordinates(coordinates)
self.set(np.zeros(grid.size(codim)))
def __init__(self, parent, grid, bounding_box=None, vmin=None, vmax=None, codim=2, dpi=100):
assert grid.reference_element in (triangle, square)
assert grid.dim == 2
assert codim in (0, 2)
self.figure = Figure(dpi=dpi)
super().__init__(self.figure)
subentities, coordinates, entity_map = flatten_grid(grid)
self.subentities = subentities if grid.reference_element is triangle \
else np.vstack((subentities[:, 0:3], subentities[:, [2, 3, 0]]))
self.coordinates = coordinates
self.entity_map = entity_map
self.reference_element = grid.reference_element
self.vmin = vmin
self.vmax = vmax
self.codim = codim
self.setParent(parent)
self.setMinimumSize(300, 300)
self.setSizePolicy(QSizePolicy(QSizePolicy.Expanding, QSizePolicy.Expanding))
def write_vtk(grid,
data,
filename_base,
codim=2,
binary_vtk=True,
last_step=None):
"""Output grid-associated data in (legacy) vtk format
Parameters
----------
grid
a |Grid| with triangular or rectilinear reference element
data
VectorArrayInterface instance with either cell (ie one datapoint per codim 0 entity)
or vertex (ie one datapoint per codim 2 entity) data in each array element
filename_base
common component for output files in timeseries
last_step
if set must be <= len(data) to restrict output of timeseries
"""
if not HAVE_PYVTK:
raise ImportError('could not import pyevtk')
if grid.dim != 2 or grid.dim_outer != 2:
raise NotImplementedError
if codim not in (0, 2):
raise NotImplementedError
subentities, coordinates, entity_map = flatten_grid(grid)
x, y, z = coordinates[:, 0].copy(), coordinates[:, 1].copy(), np.zeros(
coordinates[:, 1].size)
_write_vtu_series(grid,
coordinates=(x, y, z),
connectivity=subentities,
data=data.data,
filename_base=filename_base,
last_step=last_step,
is_cell_data=(codim == 0))
