Skip to content

Creation sub-module

zarr.creation

Helpers for creating arrays.

Deprecated

This sub-module is deprecated. All functions here are defined in the top level zarr namespace instead.

array

array(data: ArrayLike | Array, **kwargs: Any) -> Array

Create an array filled with data.

Parameters:

  • data (array_like) –

    The data to fill the array with.

  • **kwargs (Any, default: {} ) –

    Passed through to create.

Returns:

  • array ( Array ) –

    The new array.

Source code in zarr/api/synchronous.py
def array(data: npt.ArrayLike | Array, **kwargs: Any) -> Array:
    """Create an array filled with `data`.

    Parameters
    ----------
    data : array_like
        The data to fill the array with.
    **kwargs
        Passed through to [`create`][zarr.api.asynchronous.create].

    Returns
    -------
    array : Array
        The new array.
    """

    return Array(sync(async_api.array(data=data, **kwargs)))

create

create(
    shape: tuple[int, ...] | int,
    *,
    chunks: tuple[int, ...] | int | bool | None = None,
    dtype: ZDTypeLike | None = None,
    compressor: CompressorLike = "auto",
    fill_value: Any | None = DEFAULT_FILL_VALUE,
    order: MemoryOrder | None = None,
    store: StoreLike | None = None,
    synchronizer: Any | None = None,
    overwrite: bool = False,
    path: PathLike | None = None,
    chunk_store: StoreLike | None = None,
    filters: Iterable[dict[str, JSON] | Numcodec]
    | None = None,
    cache_metadata: bool | None = None,
    cache_attrs: bool | None = None,
    read_only: bool | None = None,
    object_codec: Codec | None = None,
    dimension_separator: Literal[".", "/"] | None = None,
    write_empty_chunks: bool | None = None,
    zarr_version: ZarrFormat | None = None,
    zarr_format: ZarrFormat | None = None,
    meta_array: Any | None = None,
    attributes: dict[str, JSON] | None = None,
    chunk_shape: tuple[int, ...] | int | None = None,
    chunk_key_encoding: ChunkKeyEncoding
    | tuple[Literal["default"], Literal[".", "/"]]
    | tuple[Literal["v2"], Literal[".", "/"]]
    | None = None,
    codecs: Iterable[Codec | dict[str, JSON]] | None = None,
    dimension_names: DimensionNames = None,
    storage_options: dict[str, Any] | None = None,
    config: ArrayConfigLike | None = None,
    **kwargs: Any,
) -> Array

Create an array.

Parameters:

  • shape (int or tuple of ints) –

    Array shape.

  • chunks (int or tuple of ints, default: None ) –

    Chunk shape. If True, will be guessed from shape and dtype. If False, will be set to shape, i.e., single chunk for the whole array. If an int, the chunk size in each dimension will be given by the value of chunks. Default is True.

  • dtype (str or dtype, default: None ) –

    NumPy dtype.

  • compressor (Codec, default: 'auto' ) –

    Primary compressor to compress chunk data. Zarr format 2 only. Zarr format 3 arrays should use codecs instead.

    If neither compressor nor filters are provided, the default compressor zarr.codecs.ZstdCodec is used.

    If compressor is set to None, no compression is used.

  • fill_value (Any, default: DEFAULT_FILL_VALUE ) –

    Fill value for the array.

  • order (('C', 'F'), default: 'C' ) –

    Deprecated in favor of the config keyword argument. Pass {'order': <value>} to create instead of using this parameter. Memory layout to be used within each chunk. If not specified, the array.order parameter in the global config will be used.

  • store (StoreLike or None, default: None ) –

    Store or path to directory in file system or name of zip file.

  • synchronizer (object, default: None ) –

    Array synchronizer.

  • overwrite (bool, default: False ) –

    If True, delete all pre-existing data in store at path before creating the array.

  • path (str, default: None ) –

    Path under which array is stored.

  • chunk_store (StoreLike or None, default: None ) –

    Separate storage for chunks. If not provided, store will be used for storage of both chunks and metadata.

  • filters (Iterable[Codec] | Literal['auto'], default: None ) –

    Iterable of filters to apply to each chunk of the array, in order, before serializing that chunk to bytes.

    For Zarr format 3, a "filter" is a codec that takes an array and returns an array, and these values must be instances of zarr.abc.codec.ArrayArrayCodec, or a dict representations of zarr.abc.codec.ArrayArrayCodec.

    For Zarr format 2, a "filter" can be any numcodecs codec; you should ensure that the the order if your filters is consistent with the behavior of each filter.

    The default value of "auto" instructs Zarr to use a default used based on the data type of the array and the Zarr format specified. For all data types in Zarr V3, and most data types in Zarr V2, the default filters are empty. The only cases where default filters are not empty is when the Zarr format is 2, and the data type is a variable-length data type like zarr.dtype.VariableLengthUTF8 or zarr.dtype.VariableLengthUTF8. In these cases, the default filters contains a single element which is a codec specific to that particular data type.

    To create an array with no filters, provide an empty iterable or the value None.

  • cache_metadata (bool, default: None ) –

    If True, array configuration metadata will be cached for the lifetime of the object. If False, array metadata will be reloaded prior to all data access and modification operations (may incur overhead depending on storage and data access pattern).

  • cache_attrs (bool, default: None ) –

    If True (default), user attributes will be cached for attribute read operations. If False, user attributes are reloaded from the store prior to all attribute read operations.

  • read_only (bool, default: None ) –

    True if array should be protected against modification.

  • object_codec (Codec, default: None ) –

    A codec to encode object arrays, only needed if dtype=object.

  • dimension_separator (('.', '/'), default: '.' ) –

    Separator placed between the dimensions of a chunk. Zarr format 2 only. Zarr format 3 arrays should use chunk_key_encoding instead.

  • write_empty_chunks (bool, default: None ) –

    Deprecated in favor of the config keyword argument. Pass {'write_empty_chunks': <value>} to create instead of using this parameter. If True, all chunks will be stored regardless of their contents. If False, each chunk is compared to the array's fill value prior to storing. If a chunk is uniformly equal to the fill value, then that chunk is not be stored, and the store entry for that chunk's key is deleted.

  • zarr_format ((2, 3, None), default: 2 ) –

    The Zarr format to use when creating an array. The default is None, which instructs Zarr to choose the default Zarr format value defined in the runtime configuration.

  • meta_array (array - like, default: None ) –

    Not implemented.

  • attributes (dict[str, JSON], default: None ) –

    A dictionary of user attributes to store with the array.

  • chunk_shape (int or tuple of ints, default: None ) –

    The shape of the Array's chunks (default is None). Zarr format 3 only. Zarr format 2 arrays should use chunks instead.

  • chunk_key_encoding (ChunkKeyEncoding, default: None ) –

    A specification of how the chunk keys are represented in storage. Zarr format 3 only. Zarr format 2 arrays should use dimension_separator instead. Default is ("default", "/").

  • codecs (Sequence of Codecs or dicts, default: None ) –

    An iterable of Codec or dict serializations of Codecs. Zarr V3 only.

    The elements of codecs specify the transformation from array values to stored bytes. Zarr format 3 only. Zarr format 2 arrays should use filters and compressor instead.

    If no codecs are provided, default codecs will be used based on the data type of the array. For most data types, the default codecs are the tuple (BytesCodec(), ZstdCodec()); data types that require a special zarr.abc.codec.ArrayBytesCodec, like variable-length strings or bytes, will use the zarr.abc.codec.ArrayBytesCodec required for the data type instead of zarr.codecs.BytesCodec.

  • dimension_names (Iterable[str | None] | None = None, default: None ) –

    An iterable of dimension names. Zarr format 3 only.

  • storage_options (dict, default: None ) –

    If using an fsspec URL to create the store, these will be passed to the backend implementation. Ignored otherwise.

  • config (ArrayConfigLike, default: None ) –

    Runtime configuration of the array. If provided, will override the default values from zarr.config.array.

Returns:

  • z ( Array ) –

    The array.

Source code in zarr/api/synchronous.py
def create(
    shape: tuple[int, ...] | int,
    *,  # Note: this is a change from v2
    chunks: tuple[int, ...] | int | bool | None = None,
    dtype: ZDTypeLike | None = None,
    compressor: CompressorLike = "auto",
    fill_value: Any | None = DEFAULT_FILL_VALUE,  # TODO: need type
    order: MemoryOrder | None = None,
    store: StoreLike | None = None,
    synchronizer: Any | None = None,
    overwrite: bool = False,
    path: PathLike | None = None,
    chunk_store: StoreLike | None = None,
    filters: Iterable[dict[str, JSON] | Numcodec] | None = None,
    cache_metadata: bool | None = None,
    cache_attrs: bool | None = None,
    read_only: bool | None = None,
    object_codec: Codec | None = None,  # TODO: type has changed
    dimension_separator: Literal[".", "/"] | None = None,
    write_empty_chunks: bool | None = None,  # TODO: default has changed
    zarr_version: ZarrFormat | None = None,  # deprecated
    zarr_format: ZarrFormat | None = None,
    meta_array: Any | None = None,  # TODO: need type
    attributes: dict[str, JSON] | None = None,
    # v3 only
    chunk_shape: tuple[int, ...] | int | None = None,
    chunk_key_encoding: (
        ChunkKeyEncoding
        | tuple[Literal["default"], Literal[".", "/"]]
        | tuple[Literal["v2"], Literal[".", "/"]]
        | None
    ) = None,
    codecs: Iterable[Codec | dict[str, JSON]] | None = None,
    dimension_names: DimensionNames = None,
    storage_options: dict[str, Any] | None = None,
    config: ArrayConfigLike | None = None,
    **kwargs: Any,
) -> Array:
    """Create an array.

    Parameters
    ----------
    shape : int or tuple of ints
        Array shape.
    chunks : int or tuple of ints, optional
        Chunk shape. If True, will be guessed from ``shape`` and ``dtype``. If
        False, will be set to ``shape``, i.e., single chunk for the whole array.
        If an int, the chunk size in each dimension will be given by the value
        of ``chunks``. Default is True.
    dtype : str or dtype, optional
        NumPy dtype.
    compressor : Codec, optional
        Primary compressor to compress chunk data.
        Zarr format 2 only. Zarr format 3 arrays should use ``codecs`` instead.

        If neither ``compressor`` nor ``filters`` are provided, the default compressor
        [`zarr.codecs.ZstdCodec`][] is used.

        If ``compressor`` is set to ``None``, no compression is used.
    fill_value : Any, optional
        Fill value for the array.
    order : {'C', 'F'}, optional
        Deprecated in favor of the ``config`` keyword argument.
        Pass ``{'order': <value>}`` to ``create`` instead of using this parameter.
        Memory layout to be used within each chunk.
        If not specified, the ``array.order`` parameter in the global config will be used.
    store : StoreLike or None, default=None
        Store or path to directory in file system or name of zip file.
    synchronizer : object, optional
        Array synchronizer.
    overwrite : bool, optional
        If True, delete all pre-existing data in ``store`` at ``path`` before
        creating the array.
    path : str, optional
        Path under which array is stored.
    chunk_store : StoreLike or None, default=None
        Separate storage for chunks. If not provided, ``store`` will be used
        for storage of both chunks and metadata.
    filters : Iterable[Codec] | Literal["auto"], optional
        Iterable of filters to apply to each chunk of the array, in order, before serializing that
        chunk to bytes.

        For Zarr format 3, a "filter" is a codec that takes an array and returns an array,
        and these values must be instances of [`zarr.abc.codec.ArrayArrayCodec`][], or a
        dict representations of [`zarr.abc.codec.ArrayArrayCodec`][].

        For Zarr format 2, a "filter" can be any numcodecs codec; you should ensure that the
        the order if your filters is consistent with the behavior of each filter.

        The default value of ``"auto"`` instructs Zarr to use a default used based on the data
        type of the array and the Zarr format specified. For all data types in Zarr V3, and most
        data types in Zarr V2, the default filters are empty. The only cases where default filters
        are not empty is when the Zarr format is 2, and the data type is a variable-length data type like
        [`zarr.dtype.VariableLengthUTF8`][] or [`zarr.dtype.VariableLengthUTF8`][]. In these cases,
        the default filters contains a single element which is a codec specific to that particular data type.

        To create an array with no filters, provide an empty iterable or the value ``None``.
    cache_metadata : bool, optional
        If True, array configuration metadata will be cached for the
        lifetime of the object. If False, array metadata will be reloaded
        prior to all data access and modification operations (may incur
        overhead depending on storage and data access pattern).
    cache_attrs : bool, optional
        If True (default), user attributes will be cached for attribute read
        operations. If False, user attributes are reloaded from the store prior
        to all attribute read operations.
    read_only : bool, optional
        True if array should be protected against modification.
    object_codec : Codec, optional
        A codec to encode object arrays, only needed if dtype=object.
    dimension_separator : {'.', '/'}, optional
        Separator placed between the dimensions of a chunk.
        Zarr format 2 only. Zarr format 3 arrays should use ``chunk_key_encoding`` instead.
    write_empty_chunks : bool, optional
        Deprecated in favor of the ``config`` keyword argument.
        Pass ``{'write_empty_chunks': <value>}`` to ``create`` instead of using this parameter.
        If True, all chunks will be stored regardless of their
        contents. If False, each chunk is compared to the array's fill value
        prior to storing. If a chunk is uniformly equal to the fill value, then
        that chunk is not be stored, and the store entry for that chunk's key
        is deleted.
    zarr_format : {2, 3, None}, optional
        The Zarr format to use when creating an array. The default is ``None``,
        which instructs Zarr to choose the default Zarr format value defined in the
        runtime configuration.
    meta_array : array-like, optional
        Not implemented.
    attributes : dict[str, JSON], optional
        A dictionary of user attributes to store with the array.
    chunk_shape : int or tuple of ints, optional
        The shape of the Array's chunks (default is None).
        Zarr format 3 only. Zarr format 2 arrays should use `chunks` instead.
    chunk_key_encoding : ChunkKeyEncoding, optional
        A specification of how the chunk keys are represented in storage.
        Zarr format 3 only. Zarr format 2 arrays should use `dimension_separator` instead.
        Default is ``("default", "/")``.
    codecs : Sequence of Codecs or dicts, optional
        An iterable of Codec or dict serializations of Codecs. Zarr V3 only.

        The elements of ``codecs`` specify the transformation from array values to stored bytes.
        Zarr format 3 only. Zarr format 2 arrays should use ``filters`` and ``compressor`` instead.

        If no codecs are provided, default codecs will be used based on the data type of the array.
        For most data types, the default codecs are the tuple ``(BytesCodec(), ZstdCodec())``;
        data types that require a special [`zarr.abc.codec.ArrayBytesCodec`][], like variable-length strings or bytes,
        will use the [`zarr.abc.codec.ArrayBytesCodec`][] required for the data type instead of [`zarr.codecs.BytesCodec`][].
    dimension_names : Iterable[str | None] | None = None
        An iterable of dimension names. Zarr format 3 only.
    storage_options : dict
        If using an fsspec URL to create the store, these will be passed to
        the backend implementation. Ignored otherwise.
    config : ArrayConfigLike, optional
        Runtime configuration of the array. If provided, will override the
        default values from `zarr.config.array`.

    Returns
    -------
    z : Array
        The array.
    """
    return Array(
        sync(
            async_api.create(
                shape=shape,
                chunks=chunks,
                dtype=dtype,
                compressor=compressor,
                fill_value=fill_value,
                order=order,
                store=store,
                synchronizer=synchronizer,
                overwrite=overwrite,
                path=path,
                chunk_store=chunk_store,
                filters=filters,
                cache_metadata=cache_metadata,
                cache_attrs=cache_attrs,
                read_only=read_only,
                object_codec=object_codec,
                dimension_separator=dimension_separator,
                write_empty_chunks=write_empty_chunks,
                zarr_version=zarr_version,
                zarr_format=zarr_format,
                meta_array=meta_array,
                attributes=attributes,
                chunk_shape=chunk_shape,
                chunk_key_encoding=chunk_key_encoding,
                codecs=codecs,
                dimension_names=dimension_names,
                storage_options=storage_options,
                config=config,
                **kwargs,
            )
        )
    )

empty

empty(shape: tuple[int, ...], **kwargs: Any) -> Array

Create an empty array with the specified shape. The contents will be filled with the array's fill value or zeros if no fill value is provided.

Parameters:

  • shape (int or tuple of int) –

    Shape of the empty array.

  • **kwargs (Any, default: {} ) –

    Keyword arguments passed to create.

Returns:

  • Array

    The new array.

Notes

The contents of an empty Zarr array are not defined. On attempting to retrieve data from an empty Zarr array, any values may be returned, and these are not guaranteed to be stable from one access to the next.

Source code in zarr/api/synchronous.py
def empty(shape: tuple[int, ...], **kwargs: Any) -> Array:
    """Create an empty array with the specified shape. The contents will be filled with the
    array's fill value or zeros if no fill value is provided.

    Parameters
    ----------
    shape : int or tuple of int
        Shape of the empty array.
    **kwargs
        Keyword arguments passed to [`create`][zarr.api.asynchronous.create].

    Returns
    -------
    Array
        The new array.

    Notes
    -----
    The contents of an empty Zarr array are not defined. On attempting to
    retrieve data from an empty Zarr array, any values may be returned,
    and these are not guaranteed to be stable from one access to the next.
    """
    return Array(sync(async_api.empty(shape, **kwargs)))

empty_like

empty_like(a: ArrayLike, **kwargs: Any) -> Array

Create an empty array like another array. The contents will be filled with the array's fill value or zeros if no fill value is provided.

Parameters:

  • a (array - like) –

    The array to create an empty array like.

  • **kwargs (Any, default: {} ) –

    Keyword arguments passed to create.

Returns:

  • Array

    The new array.

Notes

The contents of an empty Zarr array are not defined. On attempting to retrieve data from an empty Zarr array, any values may be returned, and these are not guaranteed to be stable from one access to the next.

Source code in zarr/api/synchronous.py
def empty_like(a: ArrayLike, **kwargs: Any) -> Array:
    """Create an empty array like another array. The contents will be filled with the
    array's fill value or zeros if no fill value is provided.

    Parameters
    ----------
    a : array-like
        The array to create an empty array like.
    **kwargs
        Keyword arguments passed to [`create`][zarr.api.asynchronous.create].

    Returns
    -------
    Array
        The new array.

    Notes
    -----
    The contents of an empty Zarr array are not defined. On attempting to
    retrieve data from an empty Zarr array, any values may be returned,
    and these are not guaranteed to be stable from one access to the next.
    """
    return Array(sync(async_api.empty_like(a, **kwargs)))

full

full(
    shape: tuple[int, ...], fill_value: Any, **kwargs: Any
) -> Array

Create an array with a default fill value.

Parameters:

  • shape (int or tuple of int) –

    Shape of the empty array.

  • fill_value (scalar) –

    Fill value.

  • **kwargs (Any, default: {} ) –

    Keyword arguments passed to create.

Returns:

  • Array

    The new array.

Source code in zarr/api/synchronous.py
def full(shape: tuple[int, ...], fill_value: Any, **kwargs: Any) -> Array:
    """Create an array with a default fill value.

    Parameters
    ----------
    shape : int or tuple of int
        Shape of the empty array.
    fill_value : scalar
        Fill value.
    **kwargs
        Keyword arguments passed to [`create`][zarr.api.asynchronous.create].

    Returns
    -------
    Array
        The new array.
    """
    return Array(sync(async_api.full(shape=shape, fill_value=fill_value, **kwargs)))

full_like

full_like(a: ArrayLike, **kwargs: Any) -> Array

Create a filled array like another array.

Parameters:

Returns:

  • Array

    The new array.

Source code in zarr/api/synchronous.py
def full_like(a: ArrayLike, **kwargs: Any) -> Array:
    """Create a filled array like another array.

    Parameters
    ----------
    a : array-like
        The array to create an empty array like.
    **kwargs
        Keyword arguments passed to [`zarr.api.asynchronous.create`][].

    Returns
    -------
    Array
        The new array.
    """
    return Array(sync(async_api.full_like(a, **kwargs)))

ones

ones(shape: tuple[int, ...], **kwargs: Any) -> Array

Create an array with a fill value of one.

Parameters:

Returns:

  • Array

    The new array.

Source code in zarr/api/synchronous.py
def ones(shape: tuple[int, ...], **kwargs: Any) -> Array:
    """Create an array with a fill value of one.

    Parameters
    ----------
    shape : int or tuple of int
        Shape of the empty array.
    **kwargs
        Keyword arguments passed to [`zarr.api.asynchronous.create`][].

    Returns
    -------
    Array
        The new array.
    """
    return Array(sync(async_api.ones(shape, **kwargs)))

ones_like

ones_like(a: ArrayLike, **kwargs: Any) -> Array

Create an array of ones like another array.

Parameters:

Returns:

  • Array

    The new array.

Source code in zarr/api/synchronous.py
def ones_like(a: ArrayLike, **kwargs: Any) -> Array:
    """Create an array of ones like another array.

    Parameters
    ----------
    a : array-like
        The array to create an empty array like.
    **kwargs
        Keyword arguments passed to [`zarr.api.asynchronous.create`][].

    Returns
    -------
    Array
        The new array.
    """
    return Array(sync(async_api.ones_like(a, **kwargs)))

open_array

open_array(
    store: StoreLike | None = None,
    *,
    zarr_version: ZarrFormat | None = None,
    zarr_format: ZarrFormat | None = None,
    path: PathLike = "",
    storage_options: dict[str, Any] | None = None,
    **kwargs: Any,
) -> Array

Open an array using file-mode-like semantics.

Parameters:

  • store (StoreLike, default: None ) –

    Store or path to directory in file system or name of zip file.

  • zarr_version ((2, 3, None), default: 2 ) –

    The zarr format to use when saving. Deprecated in favor of zarr_format.

  • zarr_format ((2, 3, None), default: 2 ) –

    The zarr format to use when saving.

  • path (str, default: '' ) –

    Path in store to array.

  • storage_options (dict, default: None ) –

    If using an fsspec URL to create the store, these will be passed to the backend implementation. Ignored otherwise.

  • **kwargs (Any, default: {} ) –

    Any keyword arguments to pass to create.

Returns:

Source code in zarr/api/synchronous.py
def open_array(
    store: StoreLike | None = None,
    *,
    zarr_version: ZarrFormat | None = None,
    zarr_format: ZarrFormat | None = None,
    path: PathLike = "",
    storage_options: dict[str, Any] | None = None,
    **kwargs: Any,
) -> Array:
    """Open an array using file-mode-like semantics.

    Parameters
    ----------
    store : StoreLike
        Store or path to directory in file system or name of zip file.
    zarr_version : {2, 3, None}, optional
        The zarr format to use when saving. Deprecated in favor of zarr_format.
    zarr_format : {2, 3, None}, optional
        The zarr format to use when saving.
    path : str, optional
        Path in store to array.
    storage_options : dict
        If using an fsspec URL to create the store, these will be passed to
        the backend implementation. Ignored otherwise.
    **kwargs
        Any keyword arguments to pass to [`create`][zarr.api.asynchronous.create].


    Returns
    -------
    AsyncArray
        The opened array.
    """
    return Array(
        sync(
            async_api.open_array(
                store=store,
                zarr_version=zarr_version,
                zarr_format=zarr_format,
                path=path,
                storage_options=storage_options,
                **kwargs,
            )
        )
    )

open_like

open_like(a: ArrayLike, path: str, **kwargs: Any) -> Array

Open a persistent array like another array.

Parameters:

  • a (Array) –

    The shape and data-type of a define these same attributes of the returned array.

  • path (str) –

    The path to the new array.

  • **kwargs (Any, default: {} ) –

    Any keyword arguments to pass to the array constructor.

Returns:

Source code in zarr/api/synchronous.py
def open_like(a: ArrayLike, path: str, **kwargs: Any) -> Array:
    """Open a persistent array like another array.

    Parameters
    ----------
    a : Array
        The shape and data-type of a define these same attributes of the returned array.
    path : str
        The path to the new array.
    **kwargs
        Any keyword arguments to pass to the array constructor.

    Returns
    -------
    AsyncArray
        The opened array.
    """
    return Array(sync(async_api.open_like(a, path=path, **kwargs)))

zeros

zeros(shape: tuple[int, ...], **kwargs: Any) -> Array

Create an array with a fill value of zero.

Parameters:

Returns:

  • Array

    The new array.

Source code in zarr/api/synchronous.py
def zeros(shape: tuple[int, ...], **kwargs: Any) -> Array:
    """Create an array with a fill value of zero.

    Parameters
    ----------
    shape : int or tuple of int
        Shape of the empty array.
    **kwargs
        Keyword arguments passed to [`zarr.api.asynchronous.create`][].

    Returns
    -------
    Array
        The new array.
    """
    return Array(sync(async_api.zeros(shape=shape, **kwargs)))

zeros_like

zeros_like(a: ArrayLike, **kwargs: Any) -> Array

Create an array of zeros like another array.

Parameters:

  • a (array - like) –

    The array to create an empty array like.

  • **kwargs (Any, default: {} ) –

    Keyword arguments passed to create.

Returns:

  • Array

    The new array.

Source code in zarr/api/synchronous.py
def zeros_like(a: ArrayLike, **kwargs: Any) -> Array:
    """Create an array of zeros like another array.

    Parameters
    ----------
    a : array-like
        The array to create an empty array like.
    **kwargs
        Keyword arguments passed to [`create`][zarr.api.asynchronous.create].

    Returns
    -------
    Array
        The new array.
    """
    return Array(sync(async_api.zeros_like(a, **kwargs)))