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

recarray.take(indices, axis=None, out=None, mode='raise') Return an array formed from the elements of a at the

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

recarray.repeat(repeats, axis=None) Repeat elements of an array. Refer to

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

recarray.dumps() Returns the pickle of the array as a string. pickle.loads or numpy.loads will convert the string back to

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

recarray.conjugate() Return the complex conjugate, element-wise. Refer to numpy.conjugate for full

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

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

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

recarray.put(indices, values, mode='raise') Set a.flat[n] = values[n] for all n in indices.

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

recarray.T Same as self.transpose(), except that self is returned if self.ndim < 2. Examples

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

recarray.argmin(axis=None, out=None) Return indices of the minimum values along the given axis of a. Refer

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

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

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

recarray.ptp(axis=None, out=None) Peak to peak (maximum - minimum) value along a given axis. Refer to

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