AAMutPlot

class AAMutPlot(verbose=False, df_scales=None)[source]

Bases: object

Plotting class for AAMut (Amino Acid Mutator) results [Breimann24a].

Visualizes the per-scale substitution-impact table produced by AAMut.run(): a pairwise substitution matrix, a per-scale sensitivity ranking, and a per-pair scale comparison.

Every plotting method returns a (fig, ax) pair (a thin tuple subclass): unpack as fig, ax = .... For backward compatibility, the returned object also forwards attribute access to ax, so legacy ax = ...; ax.set_title(...) keeps working.

Added in version 1.0.0.

Parameters:

verbose (bool)
df_scales (Optional[DataFrame])

Methods

`aa_comparison`(df_impact, from_aa, to_aa[, ...])	Plot the per-scale signed delta for one amino acid substitution pair.
`scale_ranking`(df_impact[, top_n, ax, ...])	Plot the per-scale ranking of substitution sensitivity.
`substitution_matrix`(df_impact[, ax, ...])	Plot the 20x20 amino acid substitution-impact matrix.

__init__(verbose=False, df_scales=None)[source]

Parameters:

verbose (bool, default=False) – If True, verbose outputs are enabled.
df_scales (pd.DataFrame, shape (n_letters, n_scales), optional) – DataFrame of amino acid scales. Default from load_scales().