class numpy.busdaycalendar [source] A business day calendar object that efficiently stores information defining valid days for the busday family of functions. The default valid days are Monday through Friday (?business days?). A busdaycalendar object can be specified with any set of weekly valid days, plus an optional ?holiday? dates that always will be invalid. Once a busdaycalendar object is created, the weekmask and holidays cannot be modified. New in version 1.7.0. Parameters: weekma

numpy.prod(a, axis=None, dtype=None, out=None, keepdims=False) [source] Return the product of array elements over a given axis. Parameters: a : array_like Input data. axis : None or int or tuple of ints, optional Axis or axes along which a product is performed. The default, axis=None, will calculate the product of all the elements in the input array. If axis is negative it counts from the last to the first axis. New in version 1.7.0. If axis is a tuple of ints, a product is performed

record.min() 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.view() 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.array(object, dtype=None, copy=True, order=None, subok=False, ndmin=0) Create an array. Parameters: object : array_like An array, any object exposing the array interface, an object whose __array__ method returns an array, or any (nested) sequence. dtype : data-type, optional The desired data-type for the array. If not given, then the type will be determined as the minimum type required to hold the objects in the sequence. This argument can only be used to ?upcast? the array. For d

chararray.rsplit(sep=None, maxsplit=None) [source] For each element in self, return a list of the words in the string, using sep as the delimiter string. See also char.rsplit

chararray.decode(encoding=None, errors=None) [source] Calls str.decode element-wise. See also char.decode

RandomState.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 [R179], 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

MaskedArray.__rand__ x.__rand__(y) <==> y&x

record.nbytes length of item in bytes