def test_Density(self):
sw = mm.sw_high(k=3, gdf=self.df_tessellation, ids="uID")
dens = mm.Density(
self.df_tessellation,
self.df_buildings["fl_area"],
sw,
"uID",
self.df_tessellation.area,
).series
dens2 = mm.Density(
self.df_tessellation, self.df_buildings["fl_area"], sw, "uID"
).series
check = 1.661587
assert dens.mean() == approx(check)
assert dens2.mean() == approx(check)
sw_drop = mm.sw_high(k=3, gdf=self.df_tessellation[2:], ids="uID")
assert (
mm.Density(
self.df_tessellation, self.df_buildings["fl_area"], sw_drop, "uID"
)
.series.isna()
.any()
)
# island
sw.neighbors[1] = []
dens3 = mm.Density(
self.df_tessellation,
self.df_buildings["fl_area"],
sw,
"uID",
self.df_tessellation.area,
).series
assert dens3.mean() == approx(1.656420)
def test_Density(self):
sw = mm.sw_high(k=3, gdf=self.df_tessellation, ids="uID")
dens = mm.Density(
self.df_tessellation,
self.df_buildings["fl_area"],
sw,
"uID",
self.df_tessellation.area,
).series
dens2 = mm.Density(self.df_tessellation, self.df_buildings["fl_area"],
sw, "uID").series
check = 1.661587
assert dens.mean() == approx(check)
assert dens2.mean() == approx(check)
def time_Density(self):
mm.Density(
self.df_tessellation,
self.df_buildings["fl_area"],
self.sw3,
"uID",
)