Fit t distribution using scipy with predetermined mean and std(loc & scale)?
<p>How can I fit t distribution using <code>scipy.stats.t.fit()</code> with predetermined mean and std?</p>

<p>The question is, I have a standardized dataset, with <code>mean=0</code> and <code>std=1</code>, I only want to get <code>df</code> of t distribution.
But when I do <code>scipy.stats.t.fit(data)</code>, it outputs <code>df, loc, scale</code>, and loc&amp;sclae not necessarily equal to 0&amp;1.</p>

<p>How can I solve this? Thanks!</p>