numpy.savez_compressed#

numpy.savez_compressed(file, *args, allow_pickle=True, **kwds)[source]#

Save several arrays into a single file in compressed .npz format.

Provide arrays as keyword arguments to store them under the corresponding name in the output file: savez_compressed(fn, x=x, y=y).

If arrays are specified as positional arguments, i.e., savez_compressed(fn, x, y), their names will be arr_0, arr_1, etc.

Parameters:

filefile, str, or pathlib.Path

Either the filename (string) or an open file (file-like object) where the data will be saved. If file is a string or a Path, the .npz extension will be appended to the filename if it is not already there.

argsArguments, optional

Arrays to save to the file. Please use keyword arguments (see kwds below) to assign names to arrays. Arrays specified as args will be named arr_0, arr_1, and so on.

allow_picklebool, optional

Allow saving object arrays using Python pickles. Reasons for disallowing pickles include security (loading pickled data can execute arbitrary code) and portability (pickled objects may not be loadable on different Python installations, for example if the stored objects require libraries that are not available, and not all pickled data is compatible between different versions of Python). Default: True

kwdsKeyword arguments, optional

Arrays to save to the file. Each array will be saved to the output file with its corresponding keyword name.

Returns:

None

See also

numpy.save

Save a single array to a binary file in NumPy format.

numpy.savetxt

Save an array to a file as plain text.

numpy.savez

Save several arrays into an uncompressed .npz file format

numpy.load

Load the files created by savez_compressed.

Notes

The .npz file format is a zipped archive of files named after the variables they contain. The archive is compressed with zipfile.ZIP_DEFLATED and each file in the archive contains one variable in .npy format. For a description of the .npy format, see numpy.lib.format.

When opening the saved .npz file with load a NpzFile object is returned. This is a dictionary-like object which can be queried for its list of arrays (with the .files attribute), and for the arrays themselves.

Examples

Try it in your browser!

>>> import numpy as np
>>> test_array = np.random.rand(3, 2)
>>> test_vector = np.random.rand(4)
>>> np.savez_compressed('/tmp/123', a=test_array, b=test_vector)
>>> loaded = np.load('/tmp/123.npz')
>>> print(np.array_equal(test_array, loaded['a']))
True
>>> print(np.array_equal(test_vector, loaded['b']))
True

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