recarray.tobytes(order='C') Construct Python bytes containing the raw data bytes in the array. Constructs Python bytes showing a copy of the raw contents of data memory. The bytes object can be produced in either ?C? or ?Fortran?, or ?Any? order (the default is ?C?-order). ?Any? order means C-order unless the F_CONTIGUOUS flag in the array is set, in which case it means ?Fortran? order. New in version 1.9.0. Parameters: order : {?C?, ?F?, None}, optional Order of the data for multidimen

dtype.base

Chebyshev.linspace(n=100, domain=None) [source] Return x, y values at equally spaced points in domain. Returns the x, y values at n linearly spaced points across the domain. Here y is the value of the polynomial at the points x. By default the domain is the same as that of the series instance. This method is intended mostly as a plotting aid. New in version 1.5.0. Parameters: n : int, optional Number of point pairs to return. The default value is 100. domain : {None, array_like}, optio

numpy.diag_indices(n, ndim=2) [source] Return the indices to access the main diagonal of an array. This returns a tuple of indices that can be used to access the main diagonal of an array a with a.ndim >= 2 dimensions and shape (n, n, ..., n). For a.ndim = 2 this is the usual diagonal, for a.ndim > 2 this is the set of indices to access a[i, i, ..., i] for i = [0..n-1]. Parameters: n : int The size, along each dimension, of the arrays for which the returned indices can be used. ndi

numpy.core.defchararray.isdigit(a) [source] Returns true for each element if all characters in the string are digits and there is at least one character, false otherwise. Calls str.isdigit element-wise. For 8-bit strings, this method is locale-dependent. Parameters: a : array_like of str or unicode Returns: out : ndarray Output array of bools See also str.isdigit

numpy.fft.ihfft(a, n=None, axis=-1, norm=None) [source] Compute the inverse FFT of a signal which has Hermitian symmetry. Parameters: a : array_like Input array. n : int, optional Length of the inverse FFT. Number of points along transformation axis in the input to use. If n is smaller than the length of the input, the input is cropped. If it is larger, the input is padded with zeros. If n is not given, the length of the input along the axis specified by axis is used. axis : int, optio

chararray.imag The imaginary part of the array. Examples >>> x = np.sqrt([1+0j, 0+1j]) >>> x.imag array([ 0. , 0.70710678]) >>> x.imag.dtype dtype('float64')

numpy.polynomial.polynomial.polyroots(c) [source] Compute the roots of a polynomial. Return the roots (a.k.a. ?zeros?) of the polynomial Parameters: c : 1-D array_like 1-D array of polynomial coefficients. Returns: out : ndarray Array of the roots of the polynomial. If all the roots are real, then out is also real, otherwise it is complex. See also chebroots Notes The root estimates are obtained as the eigenvalues of the companion matrix, Roots far from the origin of the comple

matrix.dtype Data-type of the array?s elements. Parameters: None Returns: d : numpy dtype object See also numpy.dtype Examples >>> x array([[0, 1], [2, 3]]) >>> x.dtype dtype('int32') >>> type(x.dtype) <type 'numpy.dtype'>

numpy.unpackbits(myarray, axis=None) Unpacks elements of a uint8 array into a binary-valued output array. Each element of myarray represents a bit-field that should be unpacked into a binary-valued output array. The shape of the output array is either 1-D (if axis is None) or the same shape as the input array with unpacking done along the axis specified. Parameters: myarray : ndarray, uint8 type Input array. axis : int, optional Unpacks along this axis. Returns: unpacked : ndarray, u