xdas.DataSequence

class xdas.DataSequence(data, name=None)

A collection of dataarrays.

A data sequence is a list whose values are dataarray objects.

__init__(data, name=None)

Methods

__init__(data[, name])
append(object, /)	Append object to the end of the list.
clear()	Remove all items from list.
copy([deep])	Return a copy of the data collection.
count(value, /)	Return number of occurrences of value.
equals(other)	Return True if other is a DataSequence with identical elements.
extend(iterable, /)	Extend list by appending elements from the iterable.
from_mapping(data)	Build a DataSequence from the values of a DataMapping.
from_netcdf(fname[, group])	Lazily read a DataSequence from a NetCDF file.
index(value[, start, stop])	Return first index of value.
insert(index, object, /)	Insert object before index.
isel([indexers])	Perform index selection to each data array of the data collection.
ismapping()	Return True if this is a DataMapping.
issequence()	Return True if this is a DataSequence.
load()	Load in memory each data array of the data collection.
map(atom)	Apply an atom to each data array of the data collection.
pop([index])	Remove and return item at index (default last).
query([indexers])	Query a given subset from a data collection.
remove(value, /)	Remove first occurrence of value.
reverse()	Reverse IN PLACE.
sel([indexers, method, endpoint])	Perform labeled selection to each data array of the data collection.
sort(*[, key, reverse])	Sort the list in ascending order and return None.
to_mapping()	Convert to an integer-keyed DataMapping.
to_netcdf(fname[, mode, group, virtual, ...])	Write this DataSequence to a NetCDF file by converting to a mapping first.

Attributes

empty	True if the collection contains no elements.
fields	Ordered, deduplicated tuple of node names at this level and its immediate children.