# mapclassify.FisherJenksSampled¶

class mapclassify.FisherJenksSampled(y, k=5, pct=0.1, truncate=True)[source]

Fisher Jenks optimal classifier - mean based using random sample

Parameters
yarray

(n,1), values to classify

kint

number of classes required

pctfloat

The percentage of n that should form the sample If pct is specified such that n*pct > 1000, then pct = 1000./n, unless truncate is False

truncateboolean

truncate pct in cases where pct * n > 1000., (Default True)

Notes

For theoretical details see [RSL16].

Attributes
ybarray

(n,1), bin ids for observations

binsarray

(k,1), the upper bounds of each class

kint

the number of classes

countsarray

(k,1), the number of observations falling in each class

__init__(self, y, k=5, pct=0.1, truncate=True)[source]

Initialize self. See help(type(self)) for accurate signature.

Methods

 __init__(self, y[, k, pct, truncate]) Initialize self. find_bin(self, x) Sort input or inputs according to the current bin estimate get_adcm(self) Absolute deviation around class median (ADCM). get_fmt(self) get_gadf(self) Goodness of absolute deviation of fit get_legend_classes(self[, fmt]) Format the strings for the classes on the legend get_tss(self) Total sum of squares around class means make(\*args, \*\*kwargs) Configure and create a classifier that will consume data and produce classifications, given the configuration options specified by this function. plot(self, gdf[, border_color, …]) Plot Mapclassiifer NOTE: Requires matplotlib, and implicitly requires geopandas dataframe as input. set_fmt(self, fmt) table(self) update(self[, y, inplace]) Add data or change classification parameters.

Attributes

 fmt
update(self, y=None, inplace=False, **kwargs)[source]

Add data or change classification parameters.

Parameters
yarray

(n,1) array of data to classify

inplacebool

whether to conduct the update in place or to return a copy estimated from the additional specifications.

Additional parameters provided in **kwargs are passed to the init
function of the class. For documentation, check the class constructor.