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import geopandas as gpd
import numpy as np
import momepy as mm
class TimeShape:
def setup(self):
test_file_path = mm.datasets.get_path("bubenec")
self.df_buildings = gpd.read_file(test_file_path, layer="buildings")
self.df_streets = gpd.read_file(test_file_path, layer="streets")
self.df_tessellation = gpd.read_file(test_file_path, layer="tessellation")
self.df_buildings["height"] = np.linspace(10.0, 30.0, 144)
self.df_buildings["volume"] = mm.Volume(self.df_buildings, "height").series
self.df_buildings["peri"] = self.df_buildings.geometry.length
self.df_buildings["area"] = self.df_buildings.geometry.area
self.df_buildings["cas"] = mm.CourtyardArea(self.df_buildings).series
self.df_buildings["la"] = mm.LongestAxisLength(self.df_buildings).series
def time_FormFactor(self):
mm.FormFactor(self.df_buildings, "volume")
def time_FractalDimension(self):
mm.FractalDimension(self.df_buildings)
def time_VolumeFacadeRatio(self):
mm.VolumeFacadeRatio(self.df_buildings, "height", "volume", "peri")
def time_CircularCompactness(self):
mm.CircularCompactness(self.df_buildings, "area")
def time_SquareCompactness(self):
mm.SquareCompactness(self.df_buildings)
def time_Convexity(self):
mm.Convexity(self.df_buildings)
def time_CourtyardIndex(self):
mm.CourtyardIndex(self.df_buildings, "cas")
def time_Rectangularity(self):
mm.Rectangularity(self.df_buildings)
def time_ShapeIndex(self):
mm.ShapeIndex(self.df_buildings, "la")
def time_Corners(self):
mm.Corners(self.df_buildings)
def time_Squareness(self):
mm.Squareness(self.df_buildings)
def time_EquivalentRectangularIndex(self):
mm.EquivalentRectangularIndex(self.df_buildings)
def time_Elongation(self):
mm.Elongation(self.df_buildings)
def time_CentroidCorners(self):
mm.CentroidCorners(self.df_buildings)
def time_Linearity(self):
mm.Linearity(self.df_streets)
def time_CompactnessWeightedAxis(self):
mm.CompactnessWeightedAxis(self.df_buildings, "area", "peri", "la")
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