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vtkiorg/vtki | vtki/pointset.py | UnstructuredGrid.extract_cells | def extract_cells(self, ind):
"""
Returns a subset of the grid
Parameters
----------
ind : np.ndarray
Numpy array of cell indices to be extracted.
Returns
-------
subgrid : vtki.UnstructuredGrid
Subselected grid
"""
... | python | def extract_cells(self, ind):
"""
Returns a subset of the grid
Parameters
----------
ind : np.ndarray
Numpy array of cell indices to be extracted.
Returns
-------
subgrid : vtki.UnstructuredGrid
Subselected grid
"""
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vtkiorg/vtki | vtki/pointset.py | UnstructuredGrid.merge | def merge(self, grid=None, merge_points=True, inplace=False,
main_has_priority=True):
"""
Join one or many other grids to this grid. Grid is updated
in-place by default.
Can be used to merge points of adjcent cells when no grids
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... | python | def merge(self, grid=None, merge_points=True, inplace=False,
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"""
Join one or many other grids to this grid. Grid is updated
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Can be used to merge points of adjcent cells when no grids
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vtkiorg/vtki | vtki/pointset.py | UnstructuredGrid.delaunay_2d | def delaunay_2d(self, tol=1e-05, alpha=0.0, offset=1.0, bound=False):
"""Apply a delaunay 2D filter along the best fitting plane. This
extracts the grid's points and perfoms the triangulation on those alone.
"""
return PolyData(self.points).delaunay_2d(tol=tol, alpha=alpha, offset=offset... | python | def delaunay_2d(self, tol=1e-05, alpha=0.0, offset=1.0, bound=False):
"""Apply a delaunay 2D filter along the best fitting plane. This
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vtkiorg/vtki | vtki/pointset.py | StructuredGrid._from_arrays | def _from_arrays(self, x, y, z):
"""
Create VTK structured grid directly from numpy arrays.
Parameters
----------
x : np.ndarray
Position of the points in x direction.
y : np.ndarray
Position of the points in y direction.
z : np.ndarray
... | python | def _from_arrays(self, x, y, z):
"""
Create VTK structured grid directly from numpy arrays.
Parameters
----------
x : np.ndarray
Position of the points in x direction.
y : np.ndarray
Position of the points in y direction.
z : np.ndarray
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vtkiorg/vtki | vtki/pointset.py | StructuredGrid.save | def save(self, filename, binary=True):
"""
Writes a structured grid to disk.
Parameters
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filename : str
Filename of grid to be written. The file extension will select the
type of writer to use. ".vtk" will use the legacy writer, while
... | python | def save(self, filename, binary=True):
"""
Writes a structured grid to disk.
Parameters
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filename : str
Filename of grid to be written. The file extension will select the
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vtkiorg/vtki | vtki/pointset.py | StructuredGrid.dimensions | def dimensions(self, dims):
"""Sets the dataset dimensions. Pass a length three tuple of integers"""
nx, ny, nz = dims[0], dims[1], dims[2]
self.SetDimensions(nx, ny, nz)
self.Modified() | python | def dimensions(self, dims):
"""Sets the dataset dimensions. Pass a length three tuple of integers"""
nx, ny, nz = dims[0], dims[1], dims[2]
self.SetDimensions(nx, ny, nz)
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vtkiorg/vtki | vtki/grid.py | RectilinearGrid._from_arrays | def _from_arrays(self, x, y, z):
"""
Create VTK rectilinear grid directly from numpy arrays. Each array
gives the uniques coordinates of the mesh along each axial direction.
To help ensure you are using this correctly, we take the unique values
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"""
Create VTK rectilinear grid directly from numpy arrays. Each array
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vtkiorg/vtki | vtki/grid.py | RectilinearGrid._load_file | def _load_file(self, filename):
"""
Load a rectilinear grid from a file.
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----------
filename : s... | python | def _load_file(self, filename):
"""
Load a rectilinear grid from a file.
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vtkiorg/vtki | vtki/grid.py | RectilinearGrid.save | def save(self, filename, binary=True):
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Filename of grid to be written. The file extension will select the
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vtkiorg/vtki | vtki/grid.py | UniformGrid.origin | def origin(self, origin):
"""Set the origin. Pass a length three tuple of floats"""
ox, oy, oz = origin[0], origin[1], origin[2]
self.SetOrigin(ox, oy, oz)
self.Modified() | python | def origin(self, origin):
"""Set the origin. Pass a length three tuple of floats"""
ox, oy, oz = origin[0], origin[1], origin[2]
self.SetOrigin(ox, oy, oz)
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vtkiorg/vtki | vtki/grid.py | UniformGrid.spacing | def spacing(self, spacing):
"""Set the spacing in each axial direction. Pass a length three tuple of
floats"""
dx, dy, dz = spacing[0], spacing[1], spacing[2]
self.SetSpacing(dx, dy, dz)
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"""Set the spacing in each axial direction. Pass a length three tuple of
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dx, dy, dz = spacing[0], spacing[1], spacing[2]
self.SetSpacing(dx, dy, dz)
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vtkiorg/vtki | vtki/qt_plotting.py | resample_image | def resample_image(arr, max_size=400):
"""Resamples a square image to an image of max_size"""
dim = np.max(arr.shape[0:2])
if dim < max_size:
max_size = dim
x, y, _ = arr.shape
sx = int(np.ceil(x / max_size))
sy = int(np.ceil(y / max_size))
img = np.zeros((max_size, max_size, 3), dty... | python | def resample_image(arr, max_size=400):
"""Resamples a square image to an image of max_size"""
dim = np.max(arr.shape[0:2])
if dim < max_size:
max_size = dim
x, y, _ = arr.shape
sx = int(np.ceil(x / max_size))
sy = int(np.ceil(y / max_size))
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vtkiorg/vtki | vtki/qt_plotting.py | pad_image | def pad_image(arr, max_size=400):
"""Pads an image to a square then resamples to max_size"""
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img = np.zeros((dim, dim, 3), dtype=arr.dtype)
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return resamp... | python | def pad_image(arr, max_size=400):
"""Pads an image to a square then resamples to max_size"""
dim = np.max(arr.shape)
img = np.zeros((dim, dim, 3), dtype=arr.dtype)
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vtkiorg/vtki | vtki/qt_plotting.py | FileDialog.emit_accepted | def emit_accepted(self):
"""
Sends signal that the file dialog was closed properly.
Sends:
filename
"""
if self.result():
filename = self.selectedFiles()[0]
if os.path.isdir(os.path.dirname(filename)):
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"""
Sends signal that the file dialog was closed properly.
Sends:
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if self.result():
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vtkiorg/vtki | vtki/qt_plotting.py | ScaleAxesDialog.update_scale | def update_scale(self, value):
""" updates the scale of all actors in the plotter """
self.plotter.set_scale(self.x_slider_group.value,
self.y_slider_group.value,
self.z_slider_group.value) | python | def update_scale(self, value):
""" updates the scale of all actors in the plotter """
self.plotter.set_scale(self.x_slider_group.value,
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vtkiorg/vtki | vtki/qt_plotting.py | BackgroundPlotter.scale_axes_dialog | def scale_axes_dialog(self, show=True):
""" Open scale axes dialog """
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vtkiorg/vtki | vtki/qt_plotting.py | BackgroundPlotter.clear_camera_positions | def clear_camera_positions(self):
""" clears all camera positions """
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self.saved_camera_menu.removeAction(action) | python | def clear_camera_positions(self):
""" clears all camera positions """
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vtkiorg/vtki | vtki/qt_plotting.py | BackgroundPlotter.save_camera_position | def save_camera_position(self):
""" Saves camera position to saved camera menu for recall """
self.saved_camera_positions.append(self.camera_position)
ncam = len(self.saved_camera_positions)
camera_position = self.camera_position[:] # py2.7 copy compatibility
def load_camera_po... | python | def save_camera_position(self):
""" Saves camera position to saved camera menu for recall """
self.saved_camera_positions.append(self.camera_position)
ncam = len(self.saved_camera_positions)
camera_position = self.camera_position[:] # py2.7 copy compatibility
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vtkiorg/vtki | vtki/qt_plotting.py | BackgroundPlotter._spawn_background_rendering | def _spawn_background_rendering(self, rate=5.0):
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vtkiorg/vtki | vtki/qt_plotting.py | BackgroundPlotter.update_app_icon | def update_app_icon(self):
"""
Update the app icon if the user is not trying to resize the window.
"""
if os.name == 'nt' or not hasattr(self, '_last_window_size'): # pragma: no cover
# DO NOT EVEN ATTEMPT TO UPDATE ICON ON WINDOWS
return
cur_time = time.... | python | def update_app_icon(self):
"""
Update the app icon if the user is not trying to resize the window.
"""
if os.name == 'nt' or not hasattr(self, '_last_window_size'): # pragma: no cover
# DO NOT EVEN ATTEMPT TO UPDATE ICON ON WINDOWS
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vtkiorg/vtki | vtki/qt_plotting.py | BackgroundPlotter._qt_export_vtkjs | def _qt_export_vtkjs(self, show=True):
"""
Spawn an save file dialog to export a vtkjs file.
"""
return FileDialog(self.app_window,
filefilter=['VTK JS File(*.vtkjs)'],
show=show,
directory=os.getcwd(),
... | python | def _qt_export_vtkjs(self, show=True):
"""
Spawn an save file dialog to export a vtkjs file.
"""
return FileDialog(self.app_window,
filefilter=['VTK JS File(*.vtkjs)'],
show=show,
directory=os.getcwd(),
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vtkiorg/vtki | vtki/qt_plotting.py | BackgroundPlotter.window_size | def window_size(self):
""" returns render window size """
the_size = self.app_window.baseSize()
return the_size.width(), the_size.height() | python | def window_size(self):
""" returns render window size """
the_size = self.app_window.baseSize()
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vtkiorg/vtki | vtki/qt_plotting.py | BackgroundPlotter.window_size | def window_size(self, window_size):
""" set the render window size """
BasePlotter.window_size.fset(self, window_size)
self.app_window.setBaseSize(*window_size) | python | def window_size(self, window_size):
""" set the render window size """
BasePlotter.window_size.fset(self, window_size)
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vtkiorg/vtki | vtki/colors.py | hex_to_rgb | def hex_to_rgb(h):
""" Returns 0 to 1 rgb from a hex list or tuple """
h = h.lstrip('#')
return tuple(int(h[i:i+2], 16)/255. for i in (0, 2 ,4)) | python | def hex_to_rgb(h):
""" Returns 0 to 1 rgb from a hex list or tuple """
h = h.lstrip('#')
return tuple(int(h[i:i+2], 16)/255. for i in (0, 2 ,4)) | [
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vtkiorg/vtki | vtki/errors.py | set_error_output_file | def set_error_output_file(filename):
"""Sets a file to write out the VTK errors"""
filename = os.path.abspath(os.path.expanduser(filename))
fileOutputWindow = vtk.vtkFileOutputWindow()
fileOutputWindow.SetFileName(filename)
outputWindow = vtk.vtkOutputWindow()
outputWindow.SetInstance(fileOutput... | python | def set_error_output_file(filename):
"""Sets a file to write out the VTK errors"""
filename = os.path.abspath(os.path.expanduser(filename))
fileOutputWindow = vtk.vtkFileOutputWindow()
fileOutputWindow.SetFileName(filename)
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vtkiorg/vtki | vtki/errors.py | Observer.log_message | def log_message(self, kind, alert):
"""Parses different event types and passes them to logging"""
if kind == 'ERROR':
logging.error(alert)
else:
logging.warning(alert)
return | python | def log_message(self, kind, alert):
"""Parses different event types and passes them to logging"""
if kind == 'ERROR':
logging.error(alert)
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logging.warning(alert)
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vtkiorg/vtki | vtki/errors.py | Observer.observe | def observe(self, algorithm):
"""Make this an observer of an algorithm
"""
if self.__observing:
raise RuntimeError('This error observer is already observing an algorithm.')
if hasattr(algorithm, 'GetExecutive') and algorithm.GetExecutive() is not None:
algorithm.G... | python | def observe(self, algorithm):
"""Make this an observer of an algorithm
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if self.__observing:
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vtkiorg/vtki | vtki/export.py | get_range_info | def get_range_info(array, component):
"""Get the data range of the array's component"""
r = array.GetRange(component)
comp_range = {}
comp_range['min'] = r[0]
comp_range['max'] = r[1]
comp_range['component'] = array.GetComponentName(component)
return comp_range | python | def get_range_info(array, component):
"""Get the data range of the array's component"""
r = array.GetRange(component)
comp_range = {}
comp_range['min'] = r[0]
comp_range['max'] = r[1]
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vtkiorg/vtki | vtki/export.py | get_object_id | def get_object_id(obj):
"""Get object identifier"""
try:
idx = objIds.index(obj)
return idx + 1
except ValueError:
objIds.append(obj)
return len(objIds) | python | def get_object_id(obj):
"""Get object identifier"""
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vtkiorg/vtki | vtki/export.py | dump_data_array | def dump_data_array(dataset_dir, data_dir, array, root=None, compress=True):
"""Dump vtkjs data arry"""
if root is None:
root = {}
if not array:
return None
if array.GetDataType() == 12:
# IdType need to be converted to Uint32
array_size = array.GetNumberOfTuples() * arr... | python | def dump_data_array(dataset_dir, data_dir, array, root=None, compress=True):
"""Dump vtkjs data arry"""
if root is None:
root = {}
if not array:
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vtkiorg/vtki | vtki/export.py | dump_color_array | def dump_color_array(dataset_dir, data_dir, color_array_info, root=None, compress=True):
"""Dump vtkjs color array"""
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root = {}
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"""Dump vtkjs color array"""
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vtkiorg/vtki | vtki/export.py | dump_t_coords | def dump_t_coords(dataset_dir, data_dir, dataset, root=None, compress=True):
"""dump vtkjs texture coordinates"""
if root is None:
root = {}
tcoords = dataset.GetPointData().GetTCoords()
if tcoords:
dumped_array = dump_data_array(dataset_dir, data_dir, tcoords, {}, compress)
root... | python | def dump_t_coords(dataset_dir, data_dir, dataset, root=None, compress=True):
"""dump vtkjs texture coordinates"""
if root is None:
root = {}
tcoords = dataset.GetPointData().GetTCoords()
if tcoords:
dumped_array = dump_data_array(dataset_dir, data_dir, tcoords, {}, compress)
root... | [
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vtkiorg/vtki | vtki/export.py | dump_normals | def dump_normals(dataset_dir, data_dir, dataset, root=None, compress=True):
"""dump vtkjs normal vectors"""
if root is None:
root = {}
normals = dataset.GetPointData().GetNormals()
if normals:
dumped_array = dump_data_array(dataset_dir, data_dir, normals, {}, compress)
root['poin... | python | def dump_normals(dataset_dir, data_dir, dataset, root=None, compress=True):
"""dump vtkjs normal vectors"""
if root is None:
root = {}
normals = dataset.GetPointData().GetNormals()
if normals:
dumped_array = dump_data_array(dataset_dir, data_dir, normals, {}, compress)
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vtkiorg/vtki | vtki/export.py | dump_all_arrays | def dump_all_arrays(dataset_dir, data_dir, dataset, root=None, compress=True):
"""Dump all data arrays to vtkjs"""
if root is None:
root = {}
root['pointData'] = {
'vtkClass': 'vtkDataSetAttributes',
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"activePedigreeIds": -1,... | python | def dump_all_arrays(dataset_dir, data_dir, dataset, root=None, compress=True):
"""Dump all data arrays to vtkjs"""
if root is None:
root = {}
root['pointData'] = {
'vtkClass': 'vtkDataSetAttributes',
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"activeNormals": -1,
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vtkiorg/vtki | vtki/export.py | dump_poly_data | def dump_poly_data(dataset_dir, data_dir, dataset, color_array_info, root=None, compress=True):
"""Dump poly data object to vtkjs"""
if root is None:
root = {}
root['vtkClass'] = 'vtkPolyData'
container = root
# Points
points = dump_data_array(dataset_dir, data_dir,
... | python | def dump_poly_data(dataset_dir, data_dir, dataset, color_array_info, root=None, compress=True):
"""Dump poly data object to vtkjs"""
if root is None:
root = {}
root['vtkClass'] = 'vtkPolyData'
container = root
# Points
points = dump_data_array(dataset_dir, data_dir,
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vtkiorg/vtki | vtki/export.py | dump_image_data | def dump_image_data(dataset_dir, data_dir, dataset, color_array_info, root=None, compress=True):
"""Dump image data object to vtkjs"""
if root is None:
root = {}
root['vtkClass'] = 'vtkImageData'
container = root
container['spacing'] = dataset.GetSpacing()
container['origin'] = dataset.... | python | def dump_image_data(dataset_dir, data_dir, dataset, color_array_info, root=None, compress=True):
"""Dump image data object to vtkjs"""
if root is None:
root = {}
root['vtkClass'] = 'vtkImageData'
container = root
container['spacing'] = dataset.GetSpacing()
container['origin'] = dataset.... | [
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vtkiorg/vtki | vtki/export.py | write_data_set | def write_data_set(file_path, dataset, output_dir, color_array_info, new_name=None, compress=True):
"""write dataset to vtkjs"""
fileName = new_name if new_name else os.path.basename(file_path)
dataset_dir = os.path.join(output_dir, fileName)
data_dir = os.path.join(dataset_dir, 'data')
if not os.p... | python | def write_data_set(file_path, dataset, output_dir, color_array_info, new_name=None, compress=True):
"""write dataset to vtkjs"""
fileName = new_name if new_name else os.path.basename(file_path)
dataset_dir = os.path.join(output_dir, fileName)
data_dir = os.path.join(dataset_dir, 'data')
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vtkiorg/vtki | vtki/common.py | Common.active_vectors | def active_vectors(self):
"""The active vectors array"""
field, name = self.active_vectors_info
if name:
if field is POINT_DATA_FIELD:
return self.point_arrays[name]
if field is CELL_DATA_FIELD:
return self.cell_arrays[name] | python | def active_vectors(self):
"""The active vectors array"""
field, name = self.active_vectors_info
if name:
if field is POINT_DATA_FIELD:
return self.point_arrays[name]
if field is CELL_DATA_FIELD:
return self.cell_arrays[name] | [
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vtkiorg/vtki | vtki/common.py | Common.arrows | def arrows(self):
"""
Returns a glyph representation of the active vector data as
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Their direction will be the "direction" of the vector
Returns
... | python | def arrows(self):
"""
Returns a glyph representation of the active vector data as
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Their direction will be the "direction" of the vector
Returns
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vtkiorg/vtki | vtki/common.py | Common.vectors | def vectors(self, array):
""" Sets the active vector """
if array.ndim != 2:
raise AssertionError('vector array must be a 2-dimensional array')
elif array.shape[1] != 3:
raise RuntimeError('vector array must be 3D')
elif array.shape[0] != self.n_points:
... | python | def vectors(self, array):
""" Sets the active vector """
if array.ndim != 2:
raise AssertionError('vector array must be a 2-dimensional array')
elif array.shape[1] != 3:
raise RuntimeError('vector array must be 3D')
elif array.shape[0] != self.n_points:
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vtkiorg/vtki | vtki/common.py | Common.t_coords | def t_coords(self, t_coords):
"""Set the array to use as the texture coordinates"""
if not isinstance(t_coords, np.ndarray):
raise TypeError('Texture coordinates must be a numpy array')
if t_coords.ndim != 2:
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"""Set the array to use as the texture coordinates"""
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vtkiorg/vtki | vtki/common.py | Common._activate_texture | def _activate_texture(mesh, name):
"""Grab a texture and update the active texture coordinates. This makes
sure to not destroy old texture coordinates
Parameters
----------
name : str
The name of the texture and texture coordinates to activate
Return
... | python | def _activate_texture(mesh, name):
"""Grab a texture and update the active texture coordinates. This makes
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Parameters
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name : str
The name of the texture and texture coordinates to activate
Return
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vtkiorg/vtki | vtki/common.py | Common.set_active_scalar | def set_active_scalar(self, name, preference='cell'):
"""Finds the scalar by name and appropriately sets it as active"""
_, field = get_scalar(self, name, preference=preference, info=True)
if field == POINT_DATA_FIELD:
self.GetPointData().SetActiveScalars(name)
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"""Finds the scalar by name and appropriately sets it as active"""
_, field = get_scalar(self, name, preference=preference, info=True)
if field == POINT_DATA_FIELD:
self.GetPointData().SetActiveScalars(name)
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vtkiorg/vtki | vtki/common.py | Common.set_active_vectors | def set_active_vectors(self, name, preference='cell'):
"""Finds the vectors by name and appropriately sets it as active"""
_, field = get_scalar(self, name, preference=preference, info=True)
if field == POINT_DATA_FIELD:
self.GetPointData().SetActiveVectors(name)
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"""Finds the vectors by name and appropriately sets it as active"""
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if field == POINT_DATA_FIELD:
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vtkiorg/vtki | vtki/common.py | Common.rename_scalar | def rename_scalar(self, old_name, new_name, preference='cell'):
"""Changes array name by searching for the array then renaming it"""
_, field = get_scalar(self, old_name, preference=preference, info=True)
if field == POINT_DATA_FIELD:
self.point_arrays[new_name] = self.point_arrays.p... | python | def rename_scalar(self, old_name, new_name, preference='cell'):
"""Changes array name by searching for the array then renaming it"""
_, field = get_scalar(self, old_name, preference=preference, info=True)
if field == POINT_DATA_FIELD:
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vtkiorg/vtki | vtki/common.py | Common.active_scalar | def active_scalar(self):
"""Returns the active scalar as an array"""
field, name = self.active_scalar_info
if name is None:
return None
if field == POINT_DATA_FIELD:
return self._point_scalar(name)
elif field == CELL_DATA_FIELD:
return self._ce... | python | def active_scalar(self):
"""Returns the active scalar as an array"""
field, name = self.active_scalar_info
if name is None:
return None
if field == POINT_DATA_FIELD:
return self._point_scalar(name)
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vtkiorg/vtki | vtki/common.py | Common._add_point_scalar | def _add_point_scalar(self, scalars, name, set_active=False, deep=True):
"""
Adds point scalars to the mesh
Parameters
----------
scalars : numpy.ndarray
Numpy array of scalars. Must match number of points.
name : str
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Numpy array of scalars. Must match number of points.
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vtkiorg/vtki | vtki/common.py | Common.points_to_double | def points_to_double(self):
""" Makes points double precision """
if self.points.dtype != np.double:
self.points = self.points.astype(np.double) | python | def points_to_double(self):
""" Makes points double precision """
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vtkiorg/vtki | vtki/common.py | Common.rotate_x | def rotate_x(self, angle):
"""
Rotates mesh about the x-axis.
Parameters
----------
angle : float
Angle in degrees to rotate about the x-axis.
"""
axis_rotation(self.points, angle, inplace=True, axis='x') | python | def rotate_x(self, angle):
"""
Rotates mesh about the x-axis.
Parameters
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angle : float
Angle in degrees to rotate about the x-axis.
"""
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vtkiorg/vtki | vtki/common.py | Common.rotate_y | def rotate_y(self, angle):
"""
Rotates mesh about the y-axis.
Parameters
----------
angle : float
Angle in degrees to rotate about the y-axis.
"""
axis_rotation(self.points, angle, inplace=True, axis='y') | python | def rotate_y(self, angle):
"""
Rotates mesh about the y-axis.
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----------
angle : float
Angle in degrees to rotate about the y-axis.
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vtkiorg/vtki | vtki/common.py | Common.rotate_z | def rotate_z(self, angle):
"""
Rotates mesh about the z-axis.
Parameters
----------
angle : float
Angle in degrees to rotate about the z-axis.
"""
axis_rotation(self.points, angle, inplace=True, axis='z') | python | def rotate_z(self, angle):
"""
Rotates mesh about the z-axis.
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angle : float
Angle in degrees to rotate about the z-axis.
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vtkiorg/vtki | vtki/common.py | Common.transform | def transform(self, trans):
"""
Compute a transformation in place using a 4x4 transform.
Parameters
----------
trans : vtk.vtkMatrix4x4, vtk.vtkTransform, or np.ndarray
Accepts a vtk transformation object or a 4x4 transformation matrix.
"""
if isinst... | python | def transform(self, trans):
"""
Compute a transformation in place using a 4x4 transform.
Parameters
----------
trans : vtk.vtkMatrix4x4, vtk.vtkTransform, or np.ndarray
Accepts a vtk transformation object or a 4x4 transformation matrix.
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vtkiorg/vtki | vtki/common.py | Common._cell_scalar | def _cell_scalar(self, name=None):
"""
Returns the cell scalars of a vtk object
Parameters
----------
name : str
Name of cell scalars to retrive.
Returns
-------
scalars : np.ndarray
Numpy array of scalars
"""
if ... | python | def _cell_scalar(self, name=None):
"""
Returns the cell scalars of a vtk object
Parameters
----------
name : str
Name of cell scalars to retrive.
Returns
-------
scalars : np.ndarray
Numpy array of scalars
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vtkiorg/vtki | vtki/common.py | Common._add_cell_scalar | def _add_cell_scalar(self, scalars, name, set_active=False, deep=True):
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Adds cell scalars to the vtk object.
Parameters
----------
scalars : numpy.ndarray
Numpy array of scalars. Must match number of points.
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Adds cell scalars to the vtk object.
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scalars : numpy.ndarray
Numpy array of scalars. Must match number of points.
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vtkiorg/vtki | vtki/common.py | Common.copy_meta_from | def copy_meta_from(self, ido):
"""Copies vtki meta data onto this object from another object"""
self._active_scalar_info = ido.active_scalar_info
self._active_vectors_info = ido.active_vectors_info
if hasattr(ido, '_textures'):
self._textures = ido._textures | python | def copy_meta_from(self, ido):
"""Copies vtki meta data onto this object from another object"""
self._active_scalar_info = ido.active_scalar_info
self._active_vectors_info = ido.active_vectors_info
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vtkiorg/vtki | vtki/common.py | Common.copy | def copy(self, deep=True):
"""
Returns a copy of the object
Parameters
----------
deep : bool, optional
When True makes a full copy of the object.
Returns
-------
newobject : same as input
Deep or shallow copy of the input.
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vtkiorg/vtki | vtki/common.py | Common.point_arrays | def point_arrays(self):
""" Returns the all point arrays """
pdata = self.GetPointData()
narr = pdata.GetNumberOfArrays()
# Update data if necessary
if hasattr(self, '_point_arrays'):
keys = list(self._point_arrays.keys())
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""" Returns the all point arrays """
pdata = self.GetPointData()
narr = pdata.GetNumberOfArrays()
# Update data if necessary
if hasattr(self, '_point_arrays'):
keys = list(self._point_arrays.keys())
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vtkiorg/vtki | vtki/common.py | Common.cell_arrays | def cell_arrays(self):
""" Returns the all cell arrays """
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if hasattr(self, '_cell_arrays'):
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if hasattr(self, '_cell_arrays'):
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vtkiorg/vtki | vtki/common.py | Common.get_data_range | def get_data_range(self, arr=None, preference='cell'):
"""Get the non-NaN min and max of a named scalar array
Parameters
----------
arr : str, np.ndarray, optional
The name of the array to get the range. If None, the active scalar
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vtkiorg/vtki | vtki/common.py | Common.scalar_names | def scalar_names(self):
"""A list of scalar names for the dataset. This makes
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"""A list of scalar names for the dataset. This makes
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names = []
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vtkiorg/vtki | vtki/common.py | Common.head | def head(self, display=True, html=None):
"""Return the header stats of this dataset. If in IPython, this will
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# Generate the output
if html:
fmt = ""
# HTML version
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"""Return the header stats of this dataset. If in IPython, this will
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vtkiorg/vtki | vtki/common.py | Common._repr_html_ | def _repr_html_(self):
"""A pretty representation for Jupyter notebooks that includes header
details and information about all scalar arrays"""
fmt = ""
if self.n_scalars > 0:
fmt += "<table>"
fmt += "<tr><th>Header</th><th>Data Arrays</th></tr>"
fmt +... | python | def _repr_html_(self):
"""A pretty representation for Jupyter notebooks that includes header
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vtkiorg/vtki | vtki/common.py | Common.overwrite | def overwrite(self, mesh):
"""
Overwrites this mesh inplace with the new mesh's geometries and data
Parameters
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mesh : vtk.vtkDataSet
The overwriting mesh.
"""
self.DeepCopy(mesh)
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"""
Overwrites this mesh inplace with the new mesh's geometries and data
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The overwriting mesh.
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chardet/chardet | convert_language_model.py | convert_sbcs_model | def convert_sbcs_model(old_model, alphabet):
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sentinelsat/sentinelsat | sentinelsat/sentinel.py | geojson_to_wkt | def geojson_to_wkt(geojson_obj, feature_number=0, decimals=4):
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In case of FeatureCollection, only one of the features is used (the first by default).
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sentinelsat/sentinelsat | sentinelsat/sentinel.py | _check_scihub_response | def _check_scihub_response(response, test_json=True):
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# Prevent requests from needing to guess the encoding
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sentinelsat/sentinelsat | sentinelsat/sentinel.py | _parse_odata_timestamp | def _parse_odata_timestamp(in_date):
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timestamp = int(in_date.replace('/Date(', '').replace(')/', ''))
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sentinelsat/sentinelsat | sentinelsat/sentinel.py | _parse_opensearch_response | def _parse_opensearch_response(products):
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The property values are converted to their respective Python types unless `parse_values`
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sentinelsat/sentinelsat | sentinelsat/sentinel.py | SentinelAPI.query | def query(self, area=None, date=None, raw=None, area_relation='Intersects',
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sentinelsat/sentinelsat | sentinelsat/sentinel.py | SentinelAPI.format_query | def format_query(area=None, date=None, raw=None, area_relation='Intersects',
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"""Create a OpenSearch API query string.
"""
if area_relation.lower() not in {"intersects", "contains", "iswithin"}:
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sentinelsat/sentinelsat | sentinelsat/sentinel.py | SentinelAPI.count | def count(self, area=None, date=None, raw=None, area_relation='Intersects', **keywords):
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sentinelsat/sentinelsat | sentinelsat/sentinel.py | SentinelAPI.to_geojson | def to_geojson(products):
"""Return the products from a query response as a GeoJSON with the values in their
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sentinelsat/sentinelsat | sentinelsat/sentinel.py | SentinelAPI.to_dataframe | def to_dataframe(products):
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sentinelsat/sentinelsat | sentinelsat/sentinel.py | SentinelAPI.to_geodataframe | def to_geodataframe(products):
"""Return the products from a query response as a GeoPandas GeoDataFrame
with the values in their appropriate Python types.
"""
try:
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import shapely.wkt
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raise ImportError... | python | def to_geodataframe(products):
"""Return the products from a query response as a GeoPandas GeoDataFrame
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"""
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sentinelsat/sentinelsat | sentinelsat/sentinel.py | SentinelAPI.get_product_odata | def get_product_odata(self, id, full=False):
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sentinelsat/sentinelsat | sentinelsat/sentinel.py | SentinelAPI._trigger_offline_retrieval | def _trigger_offline_retrieval(self, url):
""" Triggers retrieval of an offline product
Trying to download an offline product triggers its retrieval from the long term archive.
The returned HTTP status code conveys whether this was successful.
Parameters
----------
url ... | python | def _trigger_offline_retrieval(self, url):
""" Triggers retrieval of an offline product
Trying to download an offline product triggers its retrieval from the long term archive.
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sentinelsat/sentinelsat | sentinelsat/sentinel.py | SentinelAPI.download | def download(self, id, directory_path='.', checksum=True):
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"""Download a product.
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sentinelsat/sentinelsat | sentinelsat/sentinel.py | SentinelAPI.download_all | def download_all(self, products, directory_path='.', max_attempts=10, checksum=True):
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sentinelsat/sentinelsat | sentinelsat/sentinel.py | SentinelAPI.get_products_size | def get_products_size(products):
"""Return the total file size in GB of all products in the OpenSearch response."""
size_total = 0
for title, props in products.items():
size_product = props["size"]
size_value = float(size_product.split(" ")[0])
size_unit = str... | python | def get_products_size(products):
"""Return the total file size in GB of all products in the OpenSearch response."""
size_total = 0
for title, props in products.items():
size_product = props["size"]
size_value = float(size_product.split(" ")[0])
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sentinelsat/sentinelsat | sentinelsat/sentinel.py | SentinelAPI.check_files | def check_files(self, paths=None, ids=None, directory=None, delete=False):
"""Verify the integrity of product files on disk.
Integrity is checked by comparing the size and checksum of the file with the respective
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sentinelsat/sentinelsat | sentinelsat/sentinel.py | SentinelAPI._md5_compare | def _md5_compare(self, file_path, checksum, block_size=2 ** 13):
"""Compare a given MD5 checksum with one calculated from a file."""
with closing(self._tqdm(desc="MD5 checksumming", total=getsize(file_path), unit="B",
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md5 = hashl... | python | def _md5_compare(self, file_path, checksum, block_size=2 ** 13):
"""Compare a given MD5 checksum with one calculated from a file."""
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celery/django-celery | djcelery/managers.py | transaction_retry | def transaction_retry(max_retries=1):
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"""
def _outer(fun):
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"""Decorator for methods doing database operations.
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celery/django-celery | djcelery/managers.py | ResultManager.delete_expired | def delete_expired(self, expires):
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meta = self.model._meta
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celery/django-celery | djcelery/backends/database.py | DatabaseBackend._store_result | def _store_result(self, task_id, result, status,
traceback=None, request=None):
"""Store return value and status of an executed task."""
self.TaskModel._default_manager.store_result(
task_id, result, status,
traceback=traceback, children=self.current_task_ch... | python | def _store_result(self, task_id, result, status,
traceback=None, request=None):
"""Store return value and status of an executed task."""
self.TaskModel._default_manager.store_result(
task_id, result, status,
traceback=traceback, children=self.current_task_ch... | [
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celery/django-celery | djcelery/backends/database.py | DatabaseBackend._save_group | def _save_group(self, group_id, result):
"""Store the result of an executed group."""
self.TaskSetModel._default_manager.store_result(group_id, result)
return result | python | def _save_group(self, group_id, result):
"""Store the result of an executed group."""
self.TaskSetModel._default_manager.store_result(group_id, result)
return result | [
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celery/django-celery | djcelery/backends/database.py | DatabaseBackend._restore_group | def _restore_group(self, group_id):
"""Get group metadata for a group by id."""
meta = self.TaskSetModel._default_manager.restore_taskset(group_id)
if meta:
return meta.to_dict() | python | def _restore_group(self, group_id):
"""Get group metadata for a group by id."""
meta = self.TaskSetModel._default_manager.restore_taskset(group_id)
if meta:
return meta.to_dict() | [
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celery/django-celery | djcelery/backends/database.py | DatabaseBackend.cleanup | def cleanup(self):
"""Delete expired metadata."""
expires = maybe_timedelta(self.expires)
for model in self.TaskModel, self.TaskSetModel:
model._default_manager.delete_expired(expires) | python | def cleanup(self):
"""Delete expired metadata."""
expires = maybe_timedelta(self.expires)
for model in self.TaskModel, self.TaskSetModel:
model._default_manager.delete_expired(expires) | [
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] | 5d1ecb09c6304d22cc447c7c08fba0bd1febc2ef | https://github.com/celery/django-celery/blob/5d1ecb09c6304d22cc447c7c08fba0bd1febc2ef/djcelery/backends/database.py#L61-L65 | train |
celery/django-celery | djcelery/snapshot.py | Camera.handle_task | def handle_task(self, uuid_task, worker=None):
"""Handle snapshotted event."""
uuid, task = uuid_task
if task.worker and task.worker.hostname:
worker = self.handle_worker(
(task.worker.hostname, task.worker),
)
defaults = {
'name': tas... | python | def handle_task(self, uuid_task, worker=None):
"""Handle snapshotted event."""
uuid, task = uuid_task
if task.worker and task.worker.hostname:
worker = self.handle_worker(
(task.worker.hostname, task.worker),
)
defaults = {
'name': tas... | [
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] | 5d1ecb09c6304d22cc447c7c08fba0bd1febc2ef | https://github.com/celery/django-celery/blob/5d1ecb09c6304d22cc447c7c08fba0bd1febc2ef/djcelery/snapshot.py#L73-L100 | train |
celery/django-celery | djcelery/common.py | respect_language | def respect_language(language):
"""Context manager that changes the current translation language for
all code inside the following block.
Can e.g. be used inside tasks like this::
from celery import task
from djcelery.common import respect_language
@task
def my_task(langua... | python | def respect_language(language):
"""Context manager that changes the current translation language for
all code inside the following block.
Can e.g. be used inside tasks like this::
from celery import task
from djcelery.common import respect_language
@task
def my_task(langua... | [
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all code inside the following block.
Can e.g. be used inside tasks like this::
from celery import task
from djcelery.common import respect_language
@task
def my_task(language=None):
with respect_lang... | [
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celery/django-celery | djcelery/loaders.py | autodiscover | def autodiscover():
"""Include tasks for all applications in ``INSTALLED_APPS``."""
global _RACE_PROTECTION
if _RACE_PROTECTION:
return
_RACE_PROTECTION = True
try:
return filter(None, [find_related_module(app, 'tasks')
for app in settings.INSTALLED_APPS... | python | def autodiscover():
"""Include tasks for all applications in ``INSTALLED_APPS``."""
global _RACE_PROTECTION
if _RACE_PROTECTION:
return
_RACE_PROTECTION = True
try:
return filter(None, [find_related_module(app, 'tasks')
for app in settings.INSTALLED_APPS... | [
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] | 5d1ecb09c6304d22cc447c7c08fba0bd1febc2ef | https://github.com/celery/django-celery/blob/5d1ecb09c6304d22cc447c7c08fba0bd1febc2ef/djcelery/loaders.py#L167-L178 | train |
celery/django-celery | djcelery/loaders.py | find_related_module | def find_related_module(app, related_name):
"""Given an application name and a module name, tries to find that
module in the application."""
try:
app_path = importlib.import_module(app).__path__
except ImportError as exc:
warn('Autodiscover: Error importing %s.%s: %r' % (
ap... | python | def find_related_module(app, related_name):
"""Given an application name and a module name, tries to find that
module in the application."""
try:
app_path = importlib.import_module(app).__path__
except ImportError as exc:
warn('Autodiscover: Error importing %s.%s: %r' % (
ap... | [
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