#!/usr/bin/env python
# coding: utf-8

# ## Deprecations with version 2.1.0

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import libpysal 
import geopandas as gpd
import mapclassify as mc


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columbus = gpd.read_file(libpysal.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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