numpy.savez¶
-
numpy.savez(file, *args, **kwds)[source]¶ Save several arrays into a single file in uncompressed
.npzformat.If arguments are passed in with no keywords, the corresponding variable names, in the
.npzfile, are ‘arr_0’, ‘arr_1’, etc. If keyword arguments are given, the corresponding variable names, in the.npzfile will match the keyword names.- Parameters
- file
stror 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.- argsArguments, optional
Arrays to save to the file. Since it is not possible for Python to know the names of the arrays outside
savez, the arrays will be saved with names “arr_0”, “arr_1”, and so on. These arguments can be any expression.- kwdsKeyword arguments, optional
Arrays to save to the file. Arrays will be saved in the file with the keyword names.
- file
- Returns
See also
saveSave a single array to a binary file in NumPy format.
savetxtSave an array to a file as plain text.
savez_compressedSave several arrays into a compressed
.npzarchive
Notes
The
.npzfile format is a zipped archive of files named after the variables they contain. The archive is not compressed and each file in the archive contains one variable in.npyformat. For a description of the.npyformat, seenumpy.lib.format.When opening the saved
.npzfile withloada 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.When saving dictionaries, the dictionary keys become filenames inside the ZIP archive. Therefore, keys should be valid filenames. E.g., avoid keys that begin with
/or contain..Examples
>>> from tempfile import TemporaryFile >>> outfile = TemporaryFile() >>> x = np.arange(10) >>> y = np.sin(x)
Using
savezwith *args, the arrays are saved with default names.>>> np.savez(outfile, x, y) >>> _ = outfile.seek(0) # Only needed here to simulate closing & reopening file >>> npzfile = np.load(outfile) >>> npzfile.files ['arr_0', 'arr_1'] >>> npzfile['arr_0'] array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
Using
savezwith **kwds, the arrays are saved with the keyword names.>>> outfile = TemporaryFile() >>> np.savez(outfile, x=x, y=y) >>> _ = outfile.seek(0) >>> npzfile = np.load(outfile) >>> sorted(npzfile.files) ['x', 'y'] >>> npzfile['x'] array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])