# Beta distribution fitting in Scipy

According to Wikipedia the beta probability distribution has two shape parameters: $\alpha$ and $\beta$.

When I call scipy.stats.beta.fit(x) in Python, where x is a bunch of numbers in the range $[0,1]$, 4 values are returned. This strikes me as odd.

After googling I found one of the return values must be ‘location’, since the third variable is 0 if I call scipy.stats.beta.fit(x, floc=0).

Does anyone know what the fourth variable is, and if the first two are $\alpha$ and $\beta$?

Despite an apparent lack of documentation on the output of beta.fit, it does output in the following order:
$\alpha$, $\beta$, loc (lower limit), scale (upper limit – lower limit)