xarray.backends.ScipyDataStore

class xarray.backends.ScipyDataStore(filename_or_obj, mode='r', format=None, group=None, mmap=None, lock=None)

Store for reading and writing data via scipy.io.netcdf.

This store has the advantage of being able to be initialized with a StringIO object, allow for serialization without writing to disk.

It only supports the NetCDF3 file-format.

__init__(filename_or_obj, mode='r', format=None, group=None, mmap=None, lock=None)

Methods

__init__(filename_or_obj[, mode, format, ...])
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_store_variable(name, var)
prepare_variable(name, variable[, ...])
set_attribute(key, value)
set_attributes(attributes)	This provides a centralized method to set the dataset attributes on the data store.
set_dimension(name, 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

ds