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I am reading a file using numpy.fromfile:
mat1=numpy.fromfile("path/to/file", numpy.uint8, 40000, "")
this reads the file as I expect.
but when I read the entire file:
mat1=numpy.fromfile("path/to/file", numpy.uint8, -1, "")
this gives me an array of zeros. [0,0,0,...,0,0,0]
I tired:
numpy.count_nonzeros(mat1) which gives 0
size(mat1) gives the exact size of the file in bytes. So it makes an array of the expected size, but its full of zeros.
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fromfile() function. The fromfile() function is used to construct an array from data in a text or binary file. Syntax: numpy.fromfile(file, dtype=float, count=-1, sep='')
fromfile. Construct an array from data in a text or binary file. A highly efficient way of reading binary data with a known data-type, as well as parsing simply formatted text files.
The reason why NumPy is fast when used right is that its arrays are extremely efficient. They are like C arrays instead of Python lists.
This was apparently mitigated by OS X upgrades. The original issue pointed out by @MichaelJCox was closed, but a patch was never applied:
Closing. The fix is to upgrade to Mavericks.
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