recarray.ptp(axis=None, out=None) Peak to peak (maximum - minimum) value along a given axis. Refer to numpy.ptp for full documentation. See also numpy.ptp equivalent function

MaskedArray.__ipow__(other) [source] Raise self to the power other, in place.

flatiter.coords An N-dimensional tuple of current coordinates. Examples >>> x = np.arange(6).reshape(2, 3) >>> fl = x.flat >>> fl.coords (0, 0) >>> fl.next() 0 >>> fl.coords (0, 1)

ndarray.all(axis=None, out=None, keepdims=False) Returns True if all elements evaluate to True. Refer to numpy.all for full documentation. See also numpy.all equivalent function

numpy.outer(a, b, out=None) [source] Compute the outer product of two vectors. Given two vectors, a = [a0, a1, ..., aM] and b = [b0, b1, ..., bN], the outer product [R55] is: [[a0*b0 a0*b1 ... a0*bN ] [a1*b0 . [ ... . [aM*b0 aM*bN ]] Parameters: a : (M,) array_like First input vector. Input is flattened if not already 1-dimensional. b : (N,) array_like Second input vector. Input is flattened if not already 1-dimensional. out : (M, N) ndarray, optional A loc

numpy.place(arr, mask, vals) [source] Change elements of an array based on conditional and input values. Similar to np.copyto(arr, vals, where=mask), the difference is that place uses the first N elements of vals, where N is the number of True values in mask, while copyto uses the elements where mask is True. Note that extract does the exact opposite of place. Parameters: arr : ndarray Array to put data into. mask : array_like Boolean mask array. Must have the same size as a. vals : 1-

numpy.polynomial.hermite.hermder(c, m=1, scl=1, axis=0) [source] Differentiate a Hermite series. Returns the Hermite series coefficients c differentiated m times along axis. At each iteration the result is multiplied by scl (the scaling factor is for use in a linear change of variable). The argument c is an array of coefficients from low to high degree along each axis, e.g., [1,2,3] represents the series 1*H_0 + 2*H_1 + 3*H_2 while [[1,2],[1,2]] represents 1*H_0(x)*H_0(y) + 1*H_1(x)*H_0(y)

Laguerre.has_samedomain(other) [source] Check if domains match. New in version 1.6.0. Parameters: other : class instance The other class must have the domain attribute. Returns: bool : boolean True if the domains are the same, False otherwise.

generic.setflags() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API. See also The

class numpy.MachAr(float_conv=, int_conv=, float_to_float=, float_to_str= at 0x49c2ce2c>, title='Python floating point number') [source] Diagnosing machine parameters. Parameters: float_conv : function, optional Function that converts an integer or integer array to a float or float array. Default is float. int_conv : function, optional Function that converts a float or float array to an integer or integer array. Default is int. float_to_float : function, optional Function that conv