RandomState.dirichlet()
  • References/Python/NumPy/Routines/Random sampling

RandomState.dirichlet(alpha, size=None) Draw samples from the Dirichlet distribution. Draw size

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Discrete Fourier Transform (numpy.fft)
  • References/Python/NumPy/Routines

Standard FFTs

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

numpy.random.logseries(p, size=None) Draw samples from a logarithmic series distribution. Samples are drawn from

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nditer.next
  • References/Python/NumPy/Routines/Indexing routines/numpy.nditer

nditer.next x.next() -> the next value, or raise StopIteration

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Laguerre.has_samedomain()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Laguerre Module

Laguerre.has_samedomain(other)

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String operations
  • References/Python/NumPy/Routines

This module provides a set of vectorized string operations for arrays of type numpy.string_ or numpy.unicode_. All of them are based on the string methods in the Python standard

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

MaskedArray.anom(axis=None, dtype=None)

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numpy.ma.ravel()
  • References/Python/NumPy/Routines/Masked array operations

numpy.ma.ravel(self, order='C') = Returns a 1D version of self, as a view.

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numpy.ma.around
  • References/Python/NumPy/Routines/Masked array operations

numpy.ma.around = Round an array to the given number of decimals. Refer to

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numpy.median()
  • References/Python/NumPy/Routines/Statistics

numpy.median(a, axis=None, out=None, overwrite_input=False, keepdims=False)

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