recarray.flatten()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.recarray

recarray.flatten(order='C') Return a copy of the array collapsed into one dimension.

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recarray.dtype
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.recarray

recarray.dtype Data-type of the array?s elements.

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recarray.round()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.recarray

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

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recarray.tostring()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.recarray

recarray.tostring(order='C') Construct Python bytes containing the raw data bytes in the array. Constructs Python

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recarray.nonzero()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.recarray

recarray.nonzero() Return the indices of the elements that are non-zero. Refer to

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recarray.trace()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.recarray

recarray.trace(offset=0, axis1=0, axis2=1, dtype=None, out=None) Return the sum along diagonals of the array. Refer

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recarray.strides
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.recarray

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

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recarray.mean()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.recarray

recarray.mean(axis=None, dtype=None, out=None, keepdims=False) Returns the average of the array elements along given axis

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recarray.prod()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.recarray

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

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recarray.argpartition()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.recarray

recarray.argpartition(kth, axis=-1, kind='introselect', order=None) Returns the indices that would partition this

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