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import pysal.lib
import geopandas as gpd
from pysal.viz import mapclassify as mc
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columbus = gpd.read_file(pysal.lib.examples.get_path('columbus.shp'))
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mc.Equal_Interval(columbus.CRIME)
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qc = mc.EqualInterval(columbus.CRIME)
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mc.HeadTail_Breaks(columbus.CRIME)
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mc.HeadTailBreaks(columbus.CRIME)
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mc.Box_Plot(columbus.CRIME)
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mc.BoxPlot(columbus.CRIME)
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mc.Natural_Breaks(columbus.CRIME)
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mc.NaturalBreaks(columbus.CRIME)
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mc.Fisher_Jenks(columbus.CRIME)
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mc.FisherJenks(columbus.CRIME)
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mc.Std_Mean(columbus.CRIME)
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mc.StdMean(columbus.CRIME)
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mc.User_Defined(columbus.CRIME, bins=[51.862, 69.0])
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mc.UserDefined(columbus.CRIME, bins=[51.862, 69.0])
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mc.Jenks_Caspall(columbus.CRIME)
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mc.JenksCaspall(columbus.CRIME)
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mc.Jenks_Caspall_Sampled(columbus.CRIME)
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mc.Jenks_Caspall_Forced(columbus.CRIME)
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mc.JenksCaspallForced(columbus.CRIME)
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mc.JenksCaspallSampled(columbus.CRIME)
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mc.Max_P_Classifier(columbus.CRIME, k=5)
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mc.MaxP(columbus.CRIME, k=5)
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