Ejemplo n.º 1
0
def poisson(lam=1.0, size=None):
    '''Return dataset of given shape (or a single number) with samples taken
    from a Poisson distribution of parameter lam
    '''
    if size is None:
        return _random.poisson(lam, [1]).getObject([0])
    return _random.poisson(lam, _asiter(size))
Ejemplo n.º 2
0
def exponential(scale=1.0, size=None):
    '''Return dataset of given shape (or a single number) with samples taken
    from an exponential distribution of parameter scale
    '''
    if size is None:
        return _random.exponential(scale, [1]).getObject([0])
    return _random.exponential(scale, _asiter(size))
Ejemplo n.º 3
0
def poisson(lam=1.0, size=None):
    '''Return dataset of given shape (or a single number) with samples taken
    from a Poisson distribution of parameter lam
    '''
    if size is None:
        return _random.poisson(lam, [1]).getObject([0])
    return _random.poisson(lam, _asiter(size))
Ejemplo n.º 4
0
def exponential(scale=1.0, size=None):
    '''Return dataset of given shape (or a single number) with samples taken
    from an exponential distribution of parameter scale
    '''
    if size is None:
        return _random.exponential(scale, [1]).getObject([0])
    return _random.exponential(scale, _asiter(size))
Ejemplo n.º 5
0
def random_integers(low, high=None, size=None):
    '''Return dataset of given shape (or a single number) with samples taken
    from a discrete distribution of integers in the range [low, high]
    '''
    if high is None:
        high = low
        low = 0
    if size is None:
        return _random.random_integers(low, high, [1]).getObject([0])
    return _random.random_integers(low, high, _asiter(size))
Ejemplo n.º 6
0
def random_integers(low, high=None, size=None):
    '''Return dataset of given shape (or a single number) with samples taken
    from a discrete distribution of integers in the range [low, high]
    '''
    if high is None:
        high = low
        low = 0
    if size is None:
        return _random.random_integers(low, high, [1]).getObject([0])
    return _random.random_integers(low, high, _asiter(size))