Load compressed data (.npz) from file using numpy.load
When using numpy.load you can pass the file name, and if the extension is .npz, it will first decompress the file:
np.savez_compressed('filename.npz', array1=array1, array2=array2)b = np.load('filename.npz')and do b['array1'] and so forth to retrieve the data from each array...
You can also use the
fattribute, which leaves you with anp.ndarray:
images = np.load('images.npz')images = images.f.arr_0The name/key of the array inside the .npz-file (e.g. arr_0) can be found through
images.keys()Note: The f attribute is not documented in the docstring of load. When load reads an npz file, it returns an instance of the class NpzFile. This class is available as numpy.lib.npyio.NpzFile. The docstring of the NpzFile class describes the f attribute. (As of this writing, the source code of the class can be found here.