How can I find out if a n-dimensional numpy array Arr
is contiguous in C-style or Fortran-style?
Check if numpy array is contiguous?
Asked Answered
The numpy documentation states that it is possible to check whether an array is C-contiguous or Fortran-contiguous via the attribute flags
:
Arr.flags['C_CONTIGUOUS']
Arr.flags['F_CONTIGUOUS']
These attributes return a boolean indicating which of the two cases is true.
Excepts it is not a function, it is actually an attribute of the
numpy.ndarray
object, as your reported syntax (which is correct) suggests. –
Parlance @norok2, you are right! I edited the answer. Thanks! –
Mclean
And with some axis swapping it possible that neither will be True. And both are True for a 1d array –
Governor
there is also numpy.ascontiguousarray which may sometimes be helpful. –
Beaver
You can also try the ndarray.data.contiguous
member. E.g. (on my machine):
arr = np.arange(6).reshape(2, 3)
print(arr.data.contiguous) # True
print(arr.data.c_contiguous) # True
print(arr.data.f_contiguous) # False
(I can't find any information re: which numpy versions support this, even on their docs. Any leads welcome in the comments!)
Note: this will not work with
datetime64
arrays; you get ValueError: cannot include dtype 'M' in a buffer
–
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strides
. – Governor