Array creation (zarr.creation
)¶
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zarr.creation.
create
(shape, chunks=None, dtype=None, compressor='default', fill_value=0, order='C', store=None, synchronizer=None, overwrite=False, path=None, chunk_store=None, filters=None, cache_metadata=True, **kwargs)¶ Create an array.
Parameters: shape : int or tuple of ints
Array shape.
chunks : int or tuple of ints, optional
Chunk shape. If not provided, will be guessed from shape and dtype.
dtype : string or dtype, optional
NumPy dtype.
compressor : Codec, optional
Primary compressor.
fill_value : object
Default value to use for uninitialized portions of the array.
order : {‘C’, ‘F’}, optional
Memory layout to be used within each chunk.
store : MutableMapping or string
Store or path to directory in file system.
synchronizer : object, optional
Array synchronizer.
overwrite : bool, optional
If True, delete all pre-existing data in store at path before creating the array.
path : string, optional
Path under which array is stored.
chunk_store : MutableMapping, optional
Separate storage for chunks. If not provided, store will be used for storage of both chunks and metadata.
filters : sequence of Codecs, optional
Sequence of filters to use to encode chunk data prior to compression.
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).
Returns: z : zarr.core.Array
Examples
Create an array with default settings:
>>> import zarr >>> z = zarr.create((10000, 10000), chunks=(1000, 1000)) >>> z Array((10000, 10000), float64, chunks=(1000, 1000), order=C) nbytes: 762.9M; nbytes_stored: 323; ratio: 2476780.2; initialized: 0/100 compressor: Blosc(cname='lz4', clevel=5, shuffle=1) store: dict
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zarr.creation.
empty
(shape, **kwargs)¶ Create an empty array.
For parameter definitions see
zarr.creation.create()
.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.
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zarr.creation.
zeros
(shape, **kwargs)¶ Create an array, with zero being used as the default value for uninitialized portions of the array.
For parameter definitions see
zarr.creation.create()
.Examples
>>> import zarr >>> z = zarr.zeros((10000, 10000), chunks=(1000, 1000)) >>> z Array((10000, 10000), float64, chunks=(1000, 1000), order=C) nbytes: 762.9M; nbytes_stored: 323; ratio: 2476780.2; initialized: 0/100 compressor: Blosc(cname='lz4', clevel=5, shuffle=1) store: dict >>> z[:2, :2] array([[ 0., 0.], [ 0., 0.]])
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zarr.creation.
ones
(shape, **kwargs)¶ Create an array, with one being used as the default value for uninitialized portions of the array.
For parameter definitions see
zarr.creation.create()
.Examples
>>> import zarr >>> z = zarr.ones((10000, 10000), chunks=(1000, 1000)) >>> z Array((10000, 10000), float64, chunks=(1000, 1000), order=C) nbytes: 762.9M; nbytes_stored: 323; ratio: 2476780.2; initialized: 0/100 compressor: Blosc(cname='lz4', clevel=5, shuffle=1) store: dict >>> z[:2, :2] array([[ 1., 1.], [ 1., 1.]])
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zarr.creation.
full
(shape, fill_value, **kwargs)¶ Create an array, with fill_value being used as the default value for uninitialized portions of the array.
For parameter definitions see
zarr.creation.create()
.Examples
>>> import zarr >>> z = zarr.full((10000, 10000), chunks=(1000, 1000), fill_value=42) >>> z Array((10000, 10000), float64, chunks=(1000, 1000), order=C) nbytes: 762.9M; nbytes_stored: 324; ratio: 2469135.8; initialized: 0/100 compressor: Blosc(cname='lz4', clevel=5, shuffle=1) store: dict >>> z[:2, :2] array([[ 42., 42.], [ 42., 42.]])
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zarr.creation.
array
(data, **kwargs)¶ Create an array filled with data.
The data argument should be a NumPy array or array-like object. For other parameter definitions see
zarr.creation.create()
.Examples
>>> import numpy as np >>> import zarr >>> a = np.arange(100000000).reshape(10000, 10000) >>> z = zarr.array(a, chunks=(1000, 1000)) >>> z Array((10000, 10000), int64, chunks=(1000, 1000), order=C) nbytes: 762.9M; nbytes_stored: 15.2M; ratio: 50.2; initialized: 100/100 compressor: Blosc(cname='lz4', clevel=5, shuffle=1) store: dict
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zarr.creation.
open_array
(store=None, mode='a', shape=None, chunks=None, dtype=None, compressor='default', fill_value=0, order='C', synchronizer=None, filters=None, cache_metadata=True, path=None, **kwargs)¶ Open array using mode-like semantics.
Parameters: store : MutableMapping or string
Store or path to directory in file system.
mode : {‘r’, ‘r+’, ‘a’, ‘w’, ‘w-‘}
Persistence mode: ‘r’ means read only (must exist); ‘r+’ means read/write (must exist); ‘a’ means read/write (create if doesn’t exist); ‘w’ means create (overwrite if exists); ‘w-‘ means create (fail if exists).
shape : int or tuple of ints
Array shape.
chunks : int or tuple of ints, optional
Chunk shape. If not provided, will be guessed from shape and dtype.
dtype : string or dtype, optional
NumPy dtype.
compressor : Codec, optional
Primary compressor.
fill_value : object
Default value to use for uninitialized portions of the array.
order : {‘C’, ‘F’}, optional
Memory layout to be used within each chunk.
synchronizer : object, optional
Array synchronizer.
filters : sequence, optional
Sequence of filters to use to encode chunk data prior to compression.
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).
path : string, optional
Array path.
Returns: z : zarr.core.Array
Notes
There is no need to close an array. Data are automatically flushed to the file system.
Examples
>>> import numpy as np >>> import zarr >>> z1 = zarr.open_array('example.zarr', mode='w', shape=(10000, 10000), ... chunks=(1000, 1000), fill_value=0) >>> z1[:] = np.arange(100000000).reshape(10000, 10000) >>> z1 Array((10000, 10000), float64, chunks=(1000, 1000), order=C) nbytes: 762.9M; nbytes_stored: 23.0M; ratio: 33.2; initialized: 100/100 compressor: Blosc(cname='lz4', clevel=5, shuffle=1) store: DirectoryStore >>> z2 = zarr.open_array('example.zarr', mode='r') >>> z2 Array((10000, 10000), float64, chunks=(1000, 1000), order=C) nbytes: 762.9M; nbytes_stored: 23.0M; ratio: 33.2; initialized: 100/100 compressor: Blosc(cname='lz4', clevel=5, shuffle=1) store: DirectoryStore >>> np.all(z1[:] == z2[:]) True
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zarr.creation.
empty_like
(a, **kwargs)¶ Create an empty array like a.
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zarr.creation.
zeros_like
(a, **kwargs)¶ Create an array of zeros like a.
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zarr.creation.
ones_like
(a, **kwargs)¶ Create an array of ones like a.
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zarr.creation.
full_like
(a, **kwargs)¶ Create a filled array like a.
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zarr.creation.
open_like
(a, path, **kwargs)¶ Open a persistent array like a.