numpy - Reading a binary file into 2D array python -

i having trouble reading binary file in python , plotting it. supposedly unformatted binary file representing 1000x1000 array of integers. have used:

image = open("file.dat", "r") = np.fromfile(image, dtype=np.uint32) 

printing length returns 500000. cannot figure out how create 2d array out of it.

since getting half million uint32s using

a = np.fromfile(image, dtype=np.uint32)  

then million uint16s using

a = np.fromfile(image, dtype=np.uint16)  

there other possibilities, however. dtype 16-bit integer dtype such

• >i2 (big-endian 16-bit signed int), or
• <i2 (little-endian 16-bit signed int), or
• <u2 (little-endian 16-bit unsigned int), or
• >u2 (big-endian 16-bit unsigned int).

np.uint16 same either <u2 or >u2 depending on endianness of machine.

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for example,

import numpy np arr = np.random.randint(np.iinfo(np.uint16).max, size=(1000,1000)).astype(np.uint16) arr.tofile('/tmp/test') arr2 = np.fromfile('/tmp/test', dtype=np.uint32) print(arr2.shape) # (500000,)  arr3 = np.fromfile('/tmp/test', dtype=np.uint16) print(arr3.shape) # (1000000,) 

then array of shape (1000, 1000), use reshape:

arr = arr.reshape(1000, 1000)