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

ndarray.__oct__() <==> oct(x)

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

ndarray.strides Tuple of bytes to step in each dimension when traversing an array. The byte offset of element

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

ndarray.round(decimals=0, out=None) Return a with each element rounded to the given number of decimals.

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

ndarray.max(axis=None, out=None) Return the maximum along a given axis. Refer to

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

ndarray.min(axis=None, out=None, keepdims=False) Return the minimum along a given axis. Refer to

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

ndarray.partition(kth, axis=-1, kind='introselect', order=None) Rearranges the elements in the array in such a way that

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

ndarray.itemset(*args) Insert scalar into an array (scalar is cast to array?s dtype, if possible) There must be

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