chararray.base Base object if memory is from some other object. Examples The base of an array that owns its memory is None: >>> x = np.array([1,2,3,4]) >>> x.base is None True Slicing creates a view, whose memory is shared with x: >>> y = x[2:] >>> y.base is x True

MaskedArray.__radd__(other) [source] Add other to self, and return a new masked array.

iinfo.min Minimum value of given dtype.

numpy.polynomial.legendre.legone = array([1])

numpy.fft.rfft(a, n=None, axis=-1, norm=None) [source] Compute the one-dimensional discrete Fourier Transform for real input. This function computes the one-dimensional n-point discrete Fourier Transform (DFT) of a real-valued array by means of an efficient algorithm called the Fast Fourier Transform (FFT). Parameters: a : array_like Input array n : int, optional Number of points along transformation axis in the input to use. If n is smaller than the length of the input, the input is cr

MaskedArray.__rdiv__ x.__rdiv__(y) <==> y/x

ndarray.__hex__() <==> hex(x)

See also Indexing Generating index arrays c_ Translates slice objects to concatenation along the second axis. r_ Translates slice objects to concatenation along the first axis. s_ A nicer way to build up index tuples for arrays. nonzero(a) Return the indices of the elements that are non-zero. where(condition, [x, y]) Return elements, either from x or y, depending on condition. indices(dimensions[, dtype]) Return an array representing the indices of a grid. ix_(*args) Construct an open m

numpy.matmul(a, b, out=None) Matrix product of two arrays. The behavior depends on the arguments in the following way. If both arguments are 2-D they are multiplied like conventional matrices. If either argument is N-D, N > 2, it is treated as a stack of matrices residing in the last two indexes and broadcast accordingly. If the first argument is 1-D, it is promoted to a matrix by prepending a 1 to its dimensions. After matrix multiplication the prepended 1 is removed. If the second argu

class numpy.nditer [source] Efficient multi-dimensional iterator object to iterate over arrays. To get started using this object, see the introductory guide to array iteration. Parameters: op : ndarray or sequence of array_like The array(s) to iterate over. flags : sequence of str, optional Flags to control the behavior of the iterator. ?buffered? enables buffering when required. ?c_index? causes a C-order index to be tracked. ?f_index? causes a Fortran-order index to be tracked. ?mult