xarray.backends.ZarrStore

class xarray.backends.ZarrStore(zarr_group, mode=None, consolidate_on_close=False, append_dim=None, write_region=None, safe_chunks=True, write_empty=None, close_store_on_close=False, use_zarr_fill_value_as_mask=None, align_chunks=False, cache_members=True)

Store for reading and writing data via zarr

__init__(zarr_group, mode=None, consolidate_on_close=False, append_dim=None, write_region=None, safe_chunks=True, write_empty=None, close_store_on_close=False, use_zarr_fill_value_as_mask=None, align_chunks=False, cache_members=True)

Methods

__init__(zarr_group[, mode, ...])
array_keys()
arrays()
close()
encode(variables, attributes)	Encode the variables and attributes in this store
encode_attribute(a)	encode one attribute
encode_variable(variable[, name])	encode one variable
get_attrs()
get_dimensions()
get_encoding()
get_variables()
load()	This loads the variables and attributes simultaneously.
open_group(store[, mode, synchronizer, ...])
open_store(store[, mode, synchronizer, ...])
open_store_variable(name)
prepare_variable(name, variable, ...)
set_attribute(k, v)
set_attributes(attributes)	This provides a centralized method to set the dataset attributes on the data store.
set_dimension(dim, length, is_unlimited)
set_dimensions(variables[, unlimited_dims])	This provides a centralized method to set the dimensions on the data store.
set_variable(k, v)
set_variables(variables, check_encoding_set, ...)	This provides a centralized method to set the variables on the data store.
store(variables, attributes[, ...])	Top level method for putting data on this store, this method:
store_dataset(dataset)	in stores, variables are all variables AND coordinates in xarray.Dataset variables are variables NOT coordinates, so here we pass the whole dataset in instead of doing dataset.variables
sync()

Attributes

zarr_group
ds
members	Model the arrays and groups contained in self.zarr_group as a dict.