<p>nobody can simply determine if an observation dataset follows a particular distribution. based on your situation, what you need:</p>

<p>fit empirical distribution using:
<a href="http://www.statsmodels.org/stable/generated/statsmodels.distributions.empirical_distribution.ECDF.html" rel="nofollow noreferrer">statsmodels.ECDF</a> </p>

<p>then, compare (nonparametric) this with your data to see if the Null hypothesis can be rejected</p>

<p>for 20/80 rule: 
rescale your X to range [0,1] and simply pick up 0.2 on x axis </p>

<p>source: <a href="https://arxiv.org/pdf/1306.0100.pdf" rel="nofollow noreferrer">https://arxiv.org/pdf/1306.0100.pdf</a> </p>
Pareto distribution and whether a chart conforms to it
<p>I have a figure as shown below, I want to know whether it conforms to the Pareto distribution, or not? Its a cumulative plot. 
And, I want to find out the point in x axis which marks the point for the 80-20 rule, i.e the x-axis point which bifurcates the plot into 20 percent having 80 percent of the wealth. </p>

<p>Also, I'm really confused by the scipy.stats Pareto function, would be great if someone can give some intuitive explanation on that, since the documentation is pretty confusing.</p>

<p><a href="https://i.stack.imgur.com/QFp1l.jpg" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/QFp1l.jpg" alt="enter image description here"></a></p>