Reference: :cite:`folch2016centralization`.
"""
def __init__(self, data, group_pop_var, total_pop_var, k_neigh=5):
aux = _local_relative_centralization(data, group_pop_var,
total_pop_var, k_neigh)
self.statistics = aux[0]
self.core_data = aux[1]
self._function = _local_relative_centralization
# Deprecation Calls
msg = _dep_message("Multi_Location_Quotient", "MultiLocationQuotient")
Multi_Location_Quotient = DeprecationHelper(MultiLocationQuotient, message=msg)
msg = _dep_message("Multi_Local_Diversity", "MultiLocalDiversity")
Multi_Local_Diversity = DeprecationHelper(MultiLocalDiversity, message=msg)
msg = _dep_message("Multi_Local_Entropy", "MultiLocalEntropy")
Multi_Local_Entropy = DeprecationHelper(MultiLocalEntropy, message=msg)
msg = _dep_message("Multi_Local_Simpson_Interaction",
"MultiLocalSimpsonInteraction")
Multi_Local_Simpson_Interaction = DeprecationHelper(
MultiLocalSimpsonInteraction, message=msg)
msg = _dep_message("Multi_Local_Simpson_Concentration",
"MultiLocalSimpsonConcentration")
"""
Plot the Compare_Segregation class
"""
try:
import matplotlib.pyplot as plt
import seaborn as sns
except ImportError:
warnings.warn(
'This method relies on importing `matplotlib` and `seaborn`')
f = sns.distplot(self.est_sim,
hist=True,
color='darkblue',
hist_kws={'edgecolor': 'black'},
kde_kws={'linewidth': 2},
ax=ax)
plt.axvline(self.est_point_diff, color='red')
plt.title('{} (Diff. value = {})'.format(self._class_name,
round(self.est_point_diff,
3)))
return f
# Deprecation Calls
msg = _dep_message("Infer_Segregation", "SingleValueTest")
Infer_Segregation = DeprecationHelper(SingleValueTest, message=msg)
msg = _dep_message("Compare_Segregation", "TwoValueTest")
Compare_Segregation = DeprecationHelper(TwoValueTest, message=msg)
'Counterfactual First Context Composition')
axs[1, 0].axis('off')
# Counterfactual Second Context (Upper Right)
self._counterfac_df2.plot(column='counterfactual_composition',
cmap='OrRd',
legend=True,
ax=axs[0, 1])
axs[0, 1].title.set_text(
'Counterfactual Second Context Composition')
axs[0, 1].axis('off')
# Original Second Context (Bottom Right)
self._counterfac_df2.plot(column='group_composition',
cmap='OrRd',
legend=True,
ax=axs[1, 1])
axs[1, 1].title.set_text('Original Second Context Composition')
axs[1, 1].axis('off')
# Deprecation Calls
msg = _dep_message("Decompose_Segregation", "DecomposeSegregation")
Decompose_Segregation = DeprecationHelper(DecomposeSegregation, message=msg)
Reference: :cite:`roberto2015divergence`.
"""
def __init__(self, data, groups):
aux = _multi_divergence(data, groups)
self.statistic = aux[0]
self.core_data = aux[1]
self._groups = aux[2]
self._function = _multi_divergence
# Deprecation Calls
msg = _dep_message("Multi_Dissim", "MultiDissim")
Multi_Dissim = DeprecationHelper(MultiDissim, message=msg)
msg = _dep_message("Multi_Gini_Seg", "MultiGiniSeg")
Multi_Gini_Seg = DeprecationHelper(MultiGiniSeg, message=msg)
msg = _dep_message("Multi_Normalized_Exposure", "MultiNormalizedExposure")
Multi_Normalized_Exposure = DeprecationHelper(MultiNormalizedExposure,
message=msg)
msg = _dep_message("Multi_Information_Theory", "MultiInformationTheory")
Multi_Information_Theory = DeprecationHelper(MultiInformationTheory,
message=msg)
msg = _dep_message("Multi_Relative_Diversity", "MultiRelativeDiversity")
Multi_Relative_Diversity = DeprecationHelper(MultiRelativeDiversity,