Result of fitting a power-law to a vector of samples

Example:

>>> result = power_law_fit([1, 2, 3, 4, 5, 6])
>>> result                   # doctest:+ELLIPSIS
FittedPowerLaw(continuous=False, alpha=2.42..., xmin=3.0, L=-7.54..., D=0.21..., p=0.993...)
>>> print(result)            # doctest:+ELLIPSIS
Fitted power-law distribution on discrete data
<BLANKLINE>
Exponent (alpha)  = 2.42...
Cutoff (xmin)     = 3.000000
<BLANKLINE>
Log-likelihood    = -7.54...
<BLANKLINE>
H0: data was drawn from the fitted distribution
<BLANKLINE>
KS test statistic = 0.21...
p-value           = 0.993...
<BLANKLINE>
H0 could not be rejected at significance level 0.05
>>> result.alpha             # doctest:+ELLIPSIS
2.42...
>>> result.xmin
3.0
>>> result.continuous
False