sfaira.data.store.carts.CartMulti

class sfaira.data.store.carts.CartMulti(carts: Dict[str, sfaira.data.store.carts.single.CartSingle], intercalated: bool = False)

Cart for a DistributedStoreMultipleFeatureSpaceBase().

Attributes

adata	Assembles a dictionary of slices of this cart based on .obs_idx as anndata instances per organism.
n_batches
n_obs	Total number of observations in cart.
n_obs_selected	Total number of selected observations in cart.
n_var	Total number of features defined for return in cart.
obs	Selected meta data matrix (cells x meta data) that is emitted in batches by .iterator().
obs_idx	Dictionary of integer observation indices to select from cart.
ratios	Define relative drawing frequencies from iterators for intercalation.
var
x	Selected data matrix (cells x features) that is emitted in batches by .iterator().
carts
intercalated

Methods

adaptor(generator_type[, dataset_kwargs, ...])	The adaptor turns a python base generator into a different iteratable object, defined by generator_type.
iterator([repeat, shuffle_buffer])	Iterator over data matrix and meta data table, yields batches of data points.
move_to_memory()	Persist underlying arrays into memory in sparse.COO format.