numpy.core.defchararray.isspace(a) [source] Returns true for each element if there are only whitespace characters in the string and there is at least one character, false otherwise. Calls str.isspace 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.isspace

classmethod Hermite.fit(x, y, deg, domain=None, rcond=None, full=False, w=None, window=None) [source] Least squares fit to data. Return a series instance that is the least squares fit to the data y sampled at x. The domain of the returned instance can be specified and this will often result in a superior fit with less chance of ill conditioning. Parameters: x : array_like, shape (M,) x-coordinates of the M sample points (x[i], y[i]). y : array_like, shape (M,) or (M, K) y-coordinates of

numpy.rate(nper, pmt, pv, fv, when='end', guess=0.1, tol=1e-06, maxiter=100) [source] Compute the rate of interest per period. Parameters: nper : array_like Number of compounding periods pmt : array_like Payment pv : array_like Present value fv : array_like Future value when : {{?begin?, 1}, {?end?, 0}}, {string, int}, optional When payments are due (?begin? (1) or ?end? (0)) guess : float, optional Starting guess for solving the rate of interest tol : float, optional Required

numpy.histogram(a, bins=10, range=None, normed=False, weights=None, density=None) [source] Compute the histogram of a set of data. Parameters: a : array_like Input data. The histogram is computed over the flattened array. bins : int or sequence of scalars or str, optional If bins is an int, it defines the number of equal-width bins in the given range (10, by default). If bins is a sequence, it defines the bin edges, including the rightmost edge, allowing for non-uniform bin widths. New

numpy.fft.fftn(a, s=None, axes=None, norm=None) [source] Compute the N-dimensional discrete Fourier Transform. This function computes the N-dimensional discrete Fourier Transform over any number of axes in an M-dimensional array by means of the Fast Fourier Transform (FFT). Parameters: a : array_like Input array, can be complex. s : sequence of ints, optional Shape (length of each transformed axis) of the output (s[0] refers to axis 0, s[1] to axis 1, etc.). This corresponds to n for ff

numpy.cross(a, b, axisa=-1, axisb=-1, axisc=-1, axis=None) [source] Return the cross product of two (arrays of) vectors. The cross product of a and b in is a vector perpendicular to both a and b. If a and b are arrays of vectors, the vectors are defined by the last axis of a and b by default, and these axes can have dimensions 2 or 3. Where the dimension of either a or b is 2, the third component of the input vector is assumed to be zero and the cross product calculated accordingly. In cas

chararray.splitlines(keepends=None) [source] For each element in self, return a list of the lines in the element, breaking at line boundaries. See also char.splitlines

chararray.rstrip(chars=None) [source] For each element in self, return a copy with the trailing characters removed. See also char.rstrip

class numpy.polynomial.hermite.Hermite(coef, domain=None, window=None) [source] An Hermite series class. The Hermite class provides the standard Python numerical methods ?+?, ?-?, ?*?, ?//?, ?%?, ?divmod?, ?**?, and ?()? as well as the attributes and methods listed in the ABCPolyBase documentation. Parameters: coef : array_like Hermite coefficients in order of increasing degree, i.e, (1, 2, 3) gives 1*H_0(x) + 2*H_1(X) + 3*H_2(x). domain : (2,) array_like, optional Domain to use. The in

MaskedArray.__repr__() [source] Literal string representation.