set_classify_specs

Maps.set_classify_specs(scheme=None, **kwargs)

Set classification specifications for the data.

The classification is ultimately performed by the mapclassify module!

Note

The following calls have the same effect:

>>> m.set_classify.Quantiles(k=5)
>>> m.set_classify_specs(scheme="Quantiles", k=5)

Using m.set_classify() is the same as using m.set_classify_specs()! However, m.set_classify() will provide autocompletion and proper docstrings once the Maps-object is initialized which greatly enhances the usability.

Parameters:

• scheme (str) –

  The classification scheme to use. (the list is accessible via m.classify_specs.SCHEMES)

  E.g. one of (possible kwargs in brackets):

  • BoxPlot (hinge)

  • EqualInterval (k)

  • FisherJenks (k)

  • FisherJenksSampled (k, pct, truncate)

  • HeadTailBreaks ()

  • JenksCaspall (k)

  • JenksCaspallForced (k)

  • JenksCaspallSampled (k, pct)

  • MaxP (k, initial)

  • MaximumBreaks (k, mindiff)

  • NaturalBreaks (k, initial)

  • Quantiles (k)

  • Percentiles (pct)

  • StdMean (multiples)

  • UserDefined (bins)

• kwargs – kwargs passed to the call to the respective mapclassify classifier (dependent on the selected scheme… see above)