code: def params_mpl(df):
      
      return {'ANIb_alignment_lengths': ('afmhot', df.values.min(),
                                         df.values.max()),
              'ANIb_percentage_identity': ('spbnd_BuRd', 0, 1),
              'ANIb_alignment_coverage': ('BuRd', 0, 1),
              'ANIb_hadamard': ('hadamard_BuRd', 0, 1),
              'ANIb_similarity_errors': ('afmhot', df.values.min(),
                                         df.values.max()),
              'ANIm_alignment_lengths': ('afmhot', df.values.min(),
                                         df.values.max()),
              'ANIm_percentage_identity': ('spbnd_BuRd', 0, 1),
              'ANIm_alignment_coverage': ('BuRd', 0, 1),
              'ANIm_hadamard': ('hadamard_BuRd', 0, 1),
              'ANIm_similarity_errors': ('afmhot', df.values.min(),
                                         df.values.max()),
              'TETRA_correlations': ('spbnd_BuRd', 0, 1),
              'ANIblastall_alignment_lengths': ('afmhot', df.values.min(),
                                                df.values.max()),
              'ANIblastall_percentage_identity': ('spbnd_BuRd', 0, 1),
              'ANIblastall_alignment_coverage': ('BuRd', 0, 1),
              'ANIblastall_hadamard': ('hadamard_BuRd', 0, 1),
              'ANIblastall_similarity_errors': ('afmhot', df.values.min(),
                                                df.values.max())}
docs: Returns dict of matplotlib parameters, dependent on dataframe.