API reference

Classifiers

mapclassify.BoxPlot(y[, hinge])	BoxPlot Map Classification.
mapclassify.EqualInterval(y[, k])	Equal Interval Classification.
mapclassify.FisherJenks(y[, k])	Fisher Jenks optimal classifier - mean based.
mapclassify.FisherJenksSampled(y[, k, pct, ...])	Fisher Jenks optimal classifier - mean based using random sample.
mapclassify.greedy(gdf[, strategy, balance, ...])	Color GeoDataFrame using various strategies of greedy (topological) colouring.
mapclassify.HeadTailBreaks(y)	Head/tail Breaks Map Classification for Heavy-tailed Distributions.
mapclassify.JenksCaspall(y[, k])	Jenks Caspall Map Classification.
mapclassify.JenksCaspallForced(y[, k])	Jenks Caspall Map Classification with forced movements.
mapclassify.JenksCaspallSampled(y[, k, pct])	Jenks Caspall Map Classification using a random sample.
mapclassify.MaxP(y[, k, initial, seed1, seed2])	MaxP Map Classification.
mapclassify.MaximumBreaks(y[, k, mindiff])	Maximum Breaks Map Classification.
mapclassify.NaturalBreaks(y[, k, initial])	Natural Breaks Map Classification.
mapclassify.Percentiles(y[, pct])	Percentiles Map Classification
mapclassify.PrettyBreaks(y[, k])
mapclassify.Quantiles(y[, k])	Quantile Map Classification.
mapclassify.StdMean(y[, multiples, anchor])	Standard Deviation and Mean Map Classification.
mapclassify.UserDefined(y, bins[, lowest])	User Specified Binning.

Utilities

mapclassify.KClassifiers(y[, pct])	Evaluate all \(k\)-classifers and pick optimal based on \(k\) and GADF.
mapclassify.Pooled(Y[, classifier])	Applying global binning across columns.
mapclassify.classify(y, scheme[, k, pct, ...])	Classify your data with mapclassify.classify.
mapclassify.gadf(y[, method, maxk, pct])	Evaluate the Goodness of Absolute Deviation Fit (GADF) of a classifier and find the minimum value of \(k\) for which gadf > pct.
mapclassify.util.get_color_array(values[, ...])	Convert array of values into RGBA or hex colors using a colormap and classifier.