dtype.str
  • References/Python/NumPy/Routines/Data type routines/numpy.dtype

dtype.str The array-protocol typestring of this data-type object.

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

numpy.random.randint(low, high=None, size=None, dtype='l') Return random integers from low (inclusive) to

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numpy.polynomial.legendre.legdomain
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Legendre Module

numpy.polynomial.legendre.legdomain = array([-1, 1])

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

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

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Chebyshev.fit()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Chebyshev Module

classmethod Chebyshev.fit(x, y, deg, domain=None, rcond=None, full=False, w=None, window=None)

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

numpy.mod(x1, x2[, out]) = Return element-wise remainder of division. Computes the remainder complementary to the

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numpy.column_stack()
  • References/Python/NumPy/Routines/Array manipulation routines

numpy.column_stack(tup)

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numpy.log1p()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.log1p(x[, out]) = Return the natural logarithm of one plus the input array, element-wise. Calculates log(1 + x)

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

MaskedArray.transpose(*axes)

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

numpy.nan_to_num(x)

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