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 thecorresponding 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 bearr_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 notalready there.

argsArguments, optional

Arrays to save to the file. Please use keyword arguments (seekwds below) to assign names to arrays. Arrays specified asargs will be named “arr_0”, “arr_1”, and so on.

allow_picklebool, optional

Allow saving object arrays using Python pickles. Reasons fordisallowing pickles include security (loading pickled data can executearbitrary code) and portability (pickled objects may not be loadableon different Python installations, for example if the stored objectsrequire libraries that are not available, and not all pickled data iscompatible between different versions of Python).Default: True

kwdsKeyword arguments, optional

Arrays to save to the file. Each array will be saved to theoutput 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 thevariables they contain. The archive is compressed withzipfile.ZIP_DEFLATED and each file in the archive contains one variablein.npy format. For a description of the.npy format, seenumpy.lib.format.

When opening the saved.npz file withload aNpzFileobject is returned. This is a dictionary-like object which can be queriedfor its list of arrays (with the.files attribute), and for the arraysthemselves.

Examples

>>>importnumpyasnp>>>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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