mt.max_getpvalue

max_getpvalue(maxima, f, n_exact=1000, step=0.05, correct=True, **kwargs)[source]

Get the p-values for the maxima for a given expected distribution.

Parameters

  • maxima (pd.DataFrame) – Pandas DataFrame with the information of the maxima. Has to contain at least the column ‘Intensity’.

  • f (function) – Theoretical distribution of the maxima, f.

  • n_exact (int, optional) – Number of maxima where the p-value is computed directly. After the n_exact most intense values, the p-values are computed in an array with step step and then interpolated. This introduces a small error in the computation but greatly speeds up the procedure.

  • step (float, optional) – Step of the array where the p-values are exactly computed after the first n_exact maxima.

  • correct (bool, optional) – If True, check that the pvalues are decreasing with intensity and, if it is not the case, change the value accordingly.

Returns

The same Pandas DataFrame as the input maxima, but with an additional column pvalues.

Return type

pd.DataFrame