numpy.polyval(p, x) [source] Evaluate a polynomial at specific values. If p is of length N, this function returns the value: p[0]*x**(N-1) + p[1]*x**(N-2) + ... + p[N-2]*x + p[N-1] If x is a sequence, then p(x) is returned for each element of x. If x is another polynomial then the composite polynomial p(x(t)) is returned. Parameters: p : array_like or poly1d object 1D array of polynomial coefficients (including coefficients equal to zero) from highest degree to the constant term, or an i

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.

ndarray.clip(min=None, max=None, out=None) Return an array whose values are limited to [min, max]. One of max or min must be given. Refer to numpy.clip for full documentation. See also numpy.clip equivalent function

numpy.reshape(a, newshape, order='C') [source] Gives a new shape to an array without changing its data. Parameters: a : array_like Array to be reshaped. newshape : int or tuple of ints The new shape should be compatible with the original shape. If an integer, then the result will be a 1-D array of that length. One shape dimension can be -1. In this case, the value is inferred from the length of the array and remaining dimensions. order : {?C?, ?F?, ?A?}, optional Read the elements of

recarray.conjugate() Return the complex conjugate, element-wise. Refer to numpy.conjugate for full documentation. See also numpy.conjugate equivalent function

numpy.source(object, output=', mode 'w' at 0x402ae078>) [source] Print or write to a file the source code for a Numpy object. The source code is only returned for objects written in Python. Many functions and classes are defined in C and will therefore not return useful information. Parameters: object : numpy object Input object. This can be any object (function, class, module, ...). output : file object, optional If output not supplied then source code is printed to screen (sys.stdo

dtype.subdtype Tuple (item_dtype, shape) if this dtype describes a sub-array, and None otherwise. The shape is the fixed shape of the sub-array described by this data type, and item_dtype the data type of the array. If a field whose dtype object has this attribute is retrieved, then the extra dimensions implied by shape are tacked on to the end of the retrieved array.

MaskedArray.__ior__ x.__ior__(y) <==> x|=y

numpy.ma.count(a, axis=None) [source] Count the non-masked elements of the array along the given axis. Parameters: axis : int, optional Axis along which to count the non-masked elements. If axis is None, all non-masked elements are counted. Returns: result : int or ndarray If axis is None, an integer count is returned. When axis is not None, an array with shape determined by the lengths of the remaining axes, is returned. See also count_masked Count masked elements in array or a