ndarray.squeeze()
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.squeeze(axis=None) Remove single-dimensional entries from the shape of a. Refer to

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ndarray.prod()
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.prod(axis=None, dtype=None, out=None, keepdims=False) Return the product of the array elements over the given axis

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ndarray.reshape()
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.reshape(shape, order='C') Returns an array containing the same data with a new shape. Refer to

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ndarray.newbyteorder()
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.newbyteorder(new_order='S') Return the array with the same data viewed with a different byte order. Equivalent

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ndarray.
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.__deepcopy__() ? Deep copy of array. Used if copy.deepcopy is called on an array.

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ndarray.item()
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.item(*args) Copy an element of an array to a standard Python scalar and return it.

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ndarray.base
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.base Base object if memory is from some other object. Examples The base of an array

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ndarray.sum()
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.sum(axis=None, dtype=None, out=None, keepdims=False) Return the sum of the array elements over the given axis.

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ndarray.
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.__gt__ x.__gt__(y) <==> x>y

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ndarray.
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.__ne__ x.__ne__(y) <==> x!=y

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