- xorbits.numpy.savez_compressed(file, *args, **kwds)#
Save several arrays into a single file in compressed
Provide arrays as keyword arguments to store them under the corresponding name in the output file:
savez(fn, x=x, y=y).
If arrays are specified as positional arguments, i.e.,
savez(fn, x, y), their names will be arr_0, arr_1, etc.
file (str or file) – 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
.npzextension will be appended to the filename if it is not already there.
args (Arguments, 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.
kwds (Keyword arguments, optional) – Arrays to save to the file. Each array will be saved to the output file with its corresponding keyword name.
- Return type
Save a single array to a binary file in NumPy format.
Save an array to a file as plain text.
Save several arrays into an uncompressed
Load the files created by savez_compressed.
.npzfile format is a zipped archive of files named after the variables they contain. The archive is compressed with
zipfile.ZIP_DEFLATEDand each file in the archive contains one variable in
.npyformat. For a description of the
When opening the saved
.npzfile with load a NpzFile object is returned. This is a dictionary-like object which can be queried for its list of arrays (with the
.filesattribute), and for the arrays themselves.
>>> 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
This method has not been implemented yet. Xorbits will try to execute it with numpy.
This docstring was copied from numpy.