numpy.polynomial.polynomial.polyval3d(x, y, z, c) [source] Evaluate a 3-D polynomial at points (x, y, z). This function returns the values: The parameters x, y, and z are converted to arrays only if they are tuples or a lists, otherwise they are treated as a scalars and they must have the same shape after conversion. In either case, either x, y, and z or their elements must support multiplication and addition both with themselves and with the elements of c. If c has fewer than 3 dimensio

ndarray.__array_wrap__(obj) ? Object of same type as ndarray object a.

record.shape tuple of array dimensions

nditer.remove_axis(i) Removes axis i from the iterator. Requires that the flag ?multi_index? be enabled.

numpy.ma.append(a, b, axis=None) [source] Append values to the end of an array. New in version 1.9.0. Parameters: a : array_like Values are appended to a copy of this array. b : array_like These values are appended to a copy of a. It must be of the correct shape (the same shape as a, excluding axis). If axis is not specified, b can be any shape and will be flattened before use. axis : int, optional The axis along which v are appended. If axis is not given, both a and b are flattened

numpy.linalg.cholesky(a) [source] Cholesky decomposition. Return the Cholesky decomposition, L * L.H, of the square matrix a, where L is lower-triangular and .H is the conjugate transpose operator (which is the ordinary transpose if a is real-valued). a must be Hermitian (symmetric if real-valued) and positive-definite. Only L is actually returned. Parameters: a : (..., M, M) array_like Hermitian (symmetric if all elements are real), positive-definite input matrix. Returns: L : (..., M

numpy.core.defchararray.center(a, width, fillchar=' ') [source] Return a copy of a with its elements centered in a string of length width. Calls str.center element-wise. Parameters: a : array_like of str or unicode width : int The length of the resulting strings fillchar : str or unicode, optional The padding character to use (default is space). Returns: out : ndarray Output array of str or unicode, depending on input types See also str.center

ndarray.argmin(axis=None, out=None) Return indices of the minimum values along the given axis of a. Refer to numpy.argmin for detailed documentation. See also numpy.argmin equivalent function

matrix.ndim Number of array dimensions. Examples >>> x = np.array([1, 2, 3]) >>> x.ndim 1 >>> y = np.zeros((2, 3, 4)) >>> y.ndim 3

numpy.ma.vstack(tup) = Stack arrays in sequence vertically (row wise). Take a sequence of arrays and stack them vertically to make a single array. Rebuild arrays divided by vsplit. Parameters: tup : sequence of ndarrays Tuple containing arrays to be stacked. The arrays must have the same shape along all but the first axis. Returns: stacked : ndarray The array formed by stacking the given arrays. See also stack Join a sequence of arrays along a new axis. hstack Stack arrays i