I saved my numpy array to a binary file as np.save("image_mean.npy", averaged_mean). When I open the file, observed the bianry file's header as “NUMPY V {'descr': '<f8', 'fortran_order': False, 'shape': (3L, 704L, 1248L), }.
My query is what NUMPY V refers to?
If I want it as NUMPY F “NUMPY F {'descr': '<f8', 'fortran_order': False, 'shape': (3L, 704L, 1248L), }, how can I change in np.save API?
V is the length of the header data (include space paddings and the terminating newline).
As given in the documentation -
The first 6 bytes are a magic string: exactly “x93NUMPY”.
The next 1 byte is an unsigned byte: the major version number of the file format, e.g. x01.
The next 1 byte is an unsigned byte: the minor version number of the file format, e.g. x00. Note: the version of the file format is not tied to the version of the numpy package.
The next 2 bytes form a little-endian unsigned short int: the length of the header data HEADER_LEN.
The next HEADER_LEN bytes form the header data describing the array’s format. It is an ASCII string which contains a Python literal expression of a dictionary. It is terminated by a newline (‘n’) and padded with spaces (‘x20’) to make the total length of the magic string + 4 + HEADER_LEN be evenly divisible by 16 for alignment purposes.
The length of the header data from your example (including a single newline) comes to 71 . So that makes magic_string + 4 + HEADER_LEN equal 81 , which is not divisible by 16 , so the next divisible number is 96 , hence the header data is padded with 15 spaces so that that total length becomes equal to 96 . This makes the header length to be - 86 . Which is V .
>>> chr(86)
'V'
F? What do you think that will change in the file format? I think that theVis referring to version myself. Here is the documentation on .npynp.save.numpy.savewill save the file in "npy" format, which is not a raw binary file (thus the header). Instead, it has a header, etc. Instead, useyour_array.tofile(filename). To change the order to a fortran ordered array, you'd useyour_array.ravel(order='F').tofile(filename).