yt.lagos.AMRSliceBase

class yt.lagos.AMRSliceBase(axis, coord, fields=None, center=None, pf=None, node_name=False, **kwargs)

AMRSlice is an orthogonal slice through the data, taking all the points at the finest resolution available and then indexing them. It is more appropriately thought of as a slice ‘operator’ than an object, however, as its field and coordinate can both change.

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.
get_data([fields]) Iterates over the list of fields and generates/reads them all.
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.
interpolate_discretize(LE, RE, field, side) This returns a uniform grid of points between LE and RE,
keys()
reslice(coord) Change the entire dataset, clearing out the current data and slicing at a new location.
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
shift(val) Moves the slice coordinate up by either a floating point value, or an
write_out(filename[, fields, format])

Slice along axisHow do I specify an axis?, at the coordinate coord. Optionally supply fields.

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.
get_data([fields]) Iterates over the list of fields and generates/reads them all.
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.
interpolate_discretize(LE, RE, field, side) This returns a uniform grid of points between LE and RE,
keys()
reslice(coord) Change the entire dataset, clearing out the current data and slicing at a new location.
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
shift(val) Moves the slice coordinate up by either a floating point value, or an
write_out(filename[, fields, format])

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