ndarray.argpartition(kth, axis=-1, kind='introselect', order=None) Returns the indices that would partition this array. Refer to numpy.argpartition for full documentation. New in version 1.8.0. See also numpy.argpartition equivalent function

ndarray.__reduce__() For pickling.

ndarray.choose(choices, out=None, mode='raise') Use an index array to construct a new array from a set of choices. Refer to numpy.choose for full documentation. See also numpy.choose equivalent function

numpy.ma.compress_rows(a) [source] Suppress whole rows of a 2-D array that contain masked values. This is equivalent to np.ma.compress_rowcols(a, 0), see extras.compress_rowcols for details. See also extras.compress_rowcols

class numpy.lib.NumpyVersion(vstring) [source] Parse and compare numpy version strings. Numpy has the following versioning scheme (numbers given are examples; they can be > 9) in principle): Released version: ?1.8.0?, ?1.8.1?, etc. Alpha: ?1.8.0a1?, ?1.8.0a2?, etc. Beta: ?1.8.0b1?, ?1.8.0b2?, etc. Release candidates: ?1.8.0rc1?, ?1.8.0rc2?, etc. Development versions: ?1.8.0.dev-f1234afa? (git commit hash appended) Development versions after a1: ?1.8.0a1.dev-f1234afa?, ?1.8.0b2.dev

numpy.ascontiguousarray(a, dtype=None) [source] Return a contiguous array in memory (C order). Parameters: a : array_like Input array. dtype : str or dtype object, optional Data-type of returned array. Returns: out : ndarray Contiguous array of same shape and content as a, with type dtype if specified. See also asfortranarray Convert input to an ndarray with column-major memory order. require Return an ndarray that satisfies requirements. ndarray.flags Information about

Hermite.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.

numpy.fromfunction(function, shape, **kwargs) [source] Construct an array by executing a function over each coordinate. The resulting array therefore has a value fn(x, y, z) at coordinate (x, y, z). Parameters: function : callable The function is called with N parameters, where N is the rank of shape. Each parameter represents the coordinates of the array varying along a specific axis. For example, if shape were (2, 2), then the parameters in turn be (0, 0), (0, 1), (1, 0), (1, 1). shape

HermiteE.has_sametype(other) [source] Check if types match. New in version 1.7.0. Parameters: other : object Class instance. Returns: bool : boolean True if other is same class as self

numpy.logical_not(x[, out]) = Compute the truth value of NOT x element-wise. Parameters: x : array_like Logical NOT is applied to the elements of x. Returns: y : bool or ndarray of bool Boolean result with the same shape as x of the NOT operation on elements of x. See also logical_and, logical_or, logical_xor Examples >>> np.logical_not(3) False >>> np.logical_not([True, False, 0, 1]) array([False, True, True, False], dtype=bool) >>> x = np.arange(5)