MaskedArray.shrink_mask()
  • References/Python/NumPy/Routines/Masked array operations

MaskedArray.shrink_mask()

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numpy.random.shuffle()
  • References/Python/NumPy/Routines/Random sampling

numpy.random.shuffle(x) Modify a sequence in-place by shuffling its contents.

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numpy.expm1()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.expm1(x[, out]) = Calculate exp(x) - 1 for all elements in the array.

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numpy.lib.NumpyVersion()
  • References/Python/NumPy/Routines/Miscellaneous routines

class numpy.lib.NumpyVersion(vstring)

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

recarray.imag The imaginary part of the array. Examples

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matrix.imag
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.matrix

matrix.imag The imaginary part of the array. Examples >>>

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numpy.sinh()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.sinh(x[, out]) = Hyperbolic sine, element-wise. Equivalent to 1/2 * (np.exp(x) - np.exp(-x)) or -1j

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Hermite Module, “Physicists’” (numpy.polynomial.hermite)
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package

New in version 1.6.0. This module provides a number of objects (mostly functions) useful for dealing with Hermite series

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numpy.random.get_state()
  • References/Python/NumPy/Routines/Random sampling

numpy.random.get_state() Return a tuple representing the internal state of the generator. For more details, see

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chararray.dtype
  • References/Python/NumPy/Routines/String operations/numpy.core.defchararray.chararray

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

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