Draw samples from a uniform distribution.
Samples are uniformly distributed over the halfopen interval [low, high) (includes low, but excludes high). In other words, any value within the given interval is equally likely to be drawn by uniform.
Parameters:  low : float, optional
high : float
size : tuple of ints, int, optional


Returns:  out : ndarray

See also
Notes
The probability density function of the uniform distribution is
anywhere within the interval [a, b), and zero elsewhere.
Examples
Draw samples from the distribution:
>>> s = np.random.uniform(1,0,1000)
All values are within the given interval:
>>> np.all(s >= 1)
True
>>> np.all(s < 0)
True
Display the histogram of the samples, along with the probability density function:
>>> import matplotlib.pyplot as plt
>>> count, bins, ignored = plt.hist(s, 15, normed=True)
>>> plt.plot(bins, np.ones_like(bins), linewidth=2, color='r')
>>> plt.show()
Output