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A better scipy.stats.uniform

Project description

A better scipy.stats.uniform

The stats sub-package of scipy is quite cool.
In particular, it provides dozens of probability distributions implemented with a common interface.

But scipy.stats.uniform always bugged me.

>>> from scipy import stats
>>> help(stats.uniform)

A uniform continuous random variable.
This distribution is constant between `loc` and ``loc + scale``.

Why loc + scale? Why not scale?

So I wrote better_uniform: eight small lines of code that don't bug me so much.

from scipy import stats 

class frozen(stats._distn_infrastructure.rv_frozen):
    def __init__(self, dist, *args, **kwds):
        super(frozen,self).__init__(dist, *args, **kwds)

def buniform(a, b):  # b for better
    dist = stats.uniform = 'uniform'
    return frozen(dist, loc=a, scale=b-a)

Now it works as I expect it to work:

d = buniform(0, 1)
d.rvs()        # 0 < rv < 1
d.interval(1)  # (0.0, 1.0)

d = buniform(1, 2)
d.rvs()        # 1 < rv < 2
d.interval(1)  # (1.0, 2.0)

# note the difference
from scipy.stats import uniform
d = uniform(1, 2)
d.rvs()        # 1 < rv < 3
d.interval(1)  # (1.0, 3.0)

That's it!

Cool, I want it!

pip install better-uniform


git clone
cd better_uniform
python install

and later, from Python

from better_uniform import buniform

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