hyperion.grid.SphericalPolarGrid

class hyperion.grid.SphericalPolarGrid(*args)

A spherical polar grid.

The grid can be initialized by passing the r, theta, and phi coordinates of cell walls:

>>> grid = SphericalPolarGrid(r_wall, t_wall, p_wall)

where r_wall, t_wall, and p_wall are 1-d sequences of wall positions. The number of cells in the resulting grid will be one less in each dimension that the length of these arrays.

SphericalPolarGrid objects may contain multiple quantities (e.g. density, specific energy). To access these, you can specify the name of the quantity as an item:

>>> grid['density']

which is no longer a SphericalPolarGrid object, but a SphericalPolarGridView object. When setting this for the first time, this can be set either to another SphericalPolarGridView object, an external h5py link, or an empty list. For example, the following should work:

>>> grid['density_new'] = grid['density']

SphericalPolarGridView objects allow the specific dust population to be selected as an index:

>>> grid['density'][0]

Which is also a SphericalPolarGridView object. The data can then be accessed with the array attribute:

>>> grid['density'][0].array

which is a 3-d array of the requested quantity.

Methods

set_walls(r_wall, t_wall, p_wall)
read(group[, quantities])	Read the geometry and physical quantities from a spherical polar grid
read_geometry(group)	Read in geometry information from a spherical polar grid
read_quantities(group[, quantities])	Read in physical quantities from a spherical polar grid
write(group[, quantities, copy, ...])	Write out the spherical polar grid
write_single_array(group, name, array[, ...])	Write out a single quantity, checking for consistency with geometry
add_derived_quantity(name, function)

Methods (detail)

set_walls(r_wall, t_wall, p_wall)

read(group, quantities='all')

Read the geometry and physical quantities from a spherical polar grid

Parameters :

group : h5py.Group

The HDF5 group to read the grid from. This group should contain groups named ‘Geometry’ and ‘Quantities’.

quantities : ‘all’ or list

Which physical quantities to read in. Use ‘all’ to read in all quantities or a list of strings to read only specific quantities.

read_geometry(group)

Read in geometry information from a spherical polar grid

Parameters :

group : h5py.Group

The HDF5 group to read the grid geometry from.

read_quantities(group, quantities='all')

Read in physical quantities from a spherical polar grid

Parameters :

group : h5py.Group

The HDF5 group to read the grid quantities from

quantities : ‘all’ or list

Which physical quantities to read in. Use ‘all’ to read in all quantities or a list of strings to read only specific quantities.

write(group, quantities='all', copy=True, absolute_paths=False, compression=True, wall_dtype=<type 'float'>, physics_dtype=<type 'float'>)

Write out the spherical polar grid

Parameters :

group : h5py.Group

The HDF5 group to write the grid to

quantities : ‘all’ or list

Which physical quantities to write out. Use ‘all’ to write out all quantities or a list of strings to write only specific quantities.

copy : bool

Whether to copy external links, or leave them as links.

absolute_paths : bool

If copy is False, then this indicates whether to use absolute or relative paths for links.

compression : bool

Whether to compress the arrays in the HDF5 file

wall_dtype : type

The datatype to use to write the wall positions

physics_dtype : type

The datatype to use to write the physical quantities

write_single_array(group, name, array, copy=True, absolute_paths=False, compression=True, physics_dtype=<type 'float'>)

Write out a single quantity, checking for consistency with geometry

Parameters :

group : h5py.Group

The HDF5 group to write the grid to

name : str

The name of the array in the group

array : np.ndarray

The array to write out

copy : bool

Whether to copy external links, or leave them as links.

absolute_paths : bool

If copy is False, then this indicates whether to use absolute or relative paths for links.

compression : bool

Whether to compress the arrays in the HDF5 file

wall_dtype : type

The datatype to use to write the wall positions

physics_dtype : type

The datatype to use to write the physical quantities

add_derived_quantity(name, function)

class hyperion.grid.SphericalPolarGridView(grid, quantity)

Methods

append(grid)	Used to append quantities from another grid
add(grid)	Used to add quantities from another grid

Methods (detail)

append(grid)

Used to append quantities from another grid

Parameters :

grid : 3D Numpy array or SphericalPolarGridView instance

The grid to copy the quantity from

add(grid)

Used to add quantities from another grid

Parameters :

grid : 3D Numpy array or SphericalPolarGridView instance

The grid to copy the quantity from