numpy.sctype2char(sctype) [source] Return the string representation of a scalar dtype. Parameters: sctype : scalar dtype or object If a scalar dtype, the corresponding string character is returned. If an object, sctype2char tries to infer its scalar type and then return the corresponding string character. Returns: typechar : str The string character corresponding to the scalar type. Raises: ValueError If sctype is an object for which the type can not be inferred. See also obj2s

numpy.random.normal(loc=0.0, scale=1.0, size=None) Draw random samples from a normal (Gaussian) distribution. The probability density function of the normal distribution, first derived by De Moivre and 200 years later by both Gauss and Laplace independently [R250], is often called the bell curve because of its characteristic shape (see the example below). The normal distributions occurs often in nature. For example, it describes the commonly occurring distribution of samples influenced by a

numpy.promote_types(type1, type2) Returns the data type with the smallest size and smallest scalar kind to which both type1 and type2 may be safely cast. The returned data type is always in native byte order. This function is symmetric and associative. Parameters: type1 : dtype or dtype specifier First data type. type2 : dtype or dtype specifier Second data type. Returns: out : dtype The promoted data type. See also result_type, dtype, can_cast Notes New in version 1.6.0. Star

MaskedArray.T

generic.ptp() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API. See also The

generic.max() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API. See also The

numpy.polynomial.laguerre.lagdomain = array([0, 1])

ndarray.max(axis=None, out=None) Return the maximum along a given axis. Refer to numpy.amax for full documentation. See also numpy.amax equivalent function

nditer.reset() Reset the iterator to its initial state.

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