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brazil_main.py
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brazil_main.py
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from process import *
def data_separator(dataFrame, output_path, graph, filename):
extractor(dataFrame, graph, output_path, filename)
# o_path = "input_datas/filtred"
# g = graph_ml_loader('input_datas/aerialUTP')
# dataFrame = csv_loader('input_datas/cases-brazil-cities-time')
# data_separator(dataFrame, o_path, g, 'aerial')
# g = graph_ml_loader('input_datas/terrestrial')
# data_separator(dataFrame, o_path, g, 'terrestrial')
_tuple = []
name='terrestrial'
o_path = "output/brazil/"
graph = graph_ml_loader('input_datas/'+name)
mobility = csv_loader('input_datas/filtred/'+name)
degree = sort_by_metric(graph, "degree")
betweenness = sort_by_metric(graph, "betweenness")
betweenness_w = sort_by_metric(graph, "betweenness_w")
strength = sort_by_metric(graph, "strength")
x_axis = [x for x in range(graph.vcount())]
cities_geocodeList = list(mobility['Geocode'])
graph_geocodeList = [x[3] for x in degree]
corresp = correspondence_builder(cities_geocodeList, graph_geocodeList)
spear = mapeador(mobility, degree)
_tuple.append((x_axis, corresp, spear))
processed_data_exporter(x_axis, corresp, o_path+'/csv', name+'k')
graph_geocodeList = [x[3] for x in betweenness]
corresp = correspondence_builder(cities_geocodeList, graph_geocodeList)
spear = mapeador(mobility, betweenness)
_tuple.append((x_axis, corresp, spear))
processed_data_exporter(x_axis, corresp, o_path+'/csv', name+'b')
graph_geocodeList = [x[3] for x in strength]
corresp = correspondence_builder(cities_geocodeList, graph_geocodeList)
spear = mapeador(mobility, strength)
_tuple.append((x_axis, corresp, spear))
processed_data_exporter(x_axis, corresp, o_path+'/csv', name+'st')
graph_geocodeList = [x[3] for x in betweenness_w]
corresp = correspondence_builder(cities_geocodeList, graph_geocodeList)
spear = mapeador(mobility, betweenness_w)
_tuple.append((x_axis, corresp, spear))
processed_data_exporter(x_axis, corresp, o_path+'/csv', name+'b_w')
graphPloter(_tuple, ["$k$", "$b$", "$s$", "$b_{w}$"], name,o_path+'/plots')