yt.lagos.AMRGridCollectionBase

class yt.lagos.AMRGridCollectionBase(center, grid_list, fields=None, pf=None, **kwargs)

An arbitrary selection of grids, within which we accept all points.

Methods

clear_cache()	Clears out all cache, freeing memory.
clear_data()	Clears out all data from the AMRData instance, freeing memory.
convert(datatype)	This will attempt to convert a given unit to cgs from code units.
cut_region(field_cuts)	Return an InLineExtractedRegion, where the grid cells are cut on the
extract_connected_sets(field, num_levels, ...)	This function will create a set of contour objects, defined
extract_region(indices)	Return an ExtractedRegion where the points contained in it are defined
get_data([fields, in_grids, force_particle_read])
get_field_parameter(name[, default])	This is typically only used by derived field functions, but
has_field_parameter(name)	Checks if a field parameter is set.
has_key(key)	Checks if a data field already exists.
keys()
paint_grids(field, value[, default_value])	This function paints every cell in our dataset with a given value.
save_object(name[, filename])	Save an object.
select_grid_indices(level)
select_grids(level)	Return all grids on a given level.
set_field_parameter(name, val)	Here we set up dictionaries that get passed up and down and ultimately
write_out(filename[, fields, format])

By selecting an arbitrary grid_list, we can act on those grids. Child cells are not returned.

Methods

clear_cache()	Clears out all cache, freeing memory.
clear_data()	Clears out all data from the AMRData instance, freeing memory.
convert(datatype)	This will attempt to convert a given unit to cgs from code units.
cut_region(field_cuts)	Return an InLineExtractedRegion, where the grid cells are cut on the
extract_connected_sets(field, num_levels, ...)	This function will create a set of contour objects, defined
extract_region(indices)	Return an ExtractedRegion where the points contained in it are defined
get_data([fields, in_grids, force_particle_read])
get_field_parameter(name[, default])	This is typically only used by derived field functions, but
has_field_parameter(name)	Checks if a field parameter is set.
has_key(key)	Checks if a data field already exists.
keys()
paint_grids(field, value[, default_value])	This function paints every cell in our dataset with a given value.
save_object(name[, filename])	Save an object.
select_grid_indices(level)
select_grids(level)	Return all grids on a given level.
set_field_parameter(name, val)	Here we set up dictionaries that get passed up and down and ultimately
write_out(filename[, fields, format])