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import geopandas as gpd
import momepy as mm
class TimeGraph:
def setup(self):
test_file_path = mm.datasets.get_path("bubenec")
self.df_streets = gpd.read_file(test_file_path, layer="streets")
self.network = mm.gdf_to_nx(self.df_streets)
self.network = mm.node_degree(self.network)
self.dual = mm.gdf_to_nx(self.df_streets, approach="dual")
def time_node_degree(self):
mm.node_degree(graph=self.network)
def time_meshedness(self):
mm.meshedness(self.network)
def time_mean_node_dist(self):
mm.mean_node_dist(self.network)
def time_cds_length(self):
mm.cds_length(self.network)
def time_mean_node_degree(self):
mm.mean_node_degree(self.network)
def time_proportion(self):
mm.proportion(self.network, three="three", four="four", dead="dead")
def time_cyclomatic(self):
mm.cyclomatic(self.network)
def time_edge_node_ratio(self):
mm.edge_node_ratio(self.network)
def time_gamma(self):
mm.gamma(self.network)
def time_closeness_centrality(self):
mm.closeness_centrality(self.network, weight="mm_len")
def time_betweenness_centrality_nodes(self):
mm.betweenness_centrality(self.network)
def time_betweenness_centrality_edges(self):
mm.betweenness_centrality(self.network, mode="edges")
def time_betweenness_centrality_angular(self):
mm.betweenness_centrality(self.dual, weight="angle")
def time_betweenness_centrality_local(self):
mm.betweenness_centrality(self.network, radius=5, weight=None)
def time_straightness_centrality(self):
mm.straightness_centrality(self.network)
def time_clustering(self):
mm.clustering(self.network)
def time_subgraph(self):
mm.subgraph(self.network)
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