How to use the momepy.AreaRatio function in momepy
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martinfleis / momepy / tests / test_intensity.py View on Github 
left_unique_id="uID",
)
with pytest.raises(ValueError):
car = mm.AreaRatio(
self.df_tessellation,
self.df_buildings,
"area",
"area",
right_unique_id="uID",
)
car_sel = mm.AreaRatio(
self.df_tessellation.iloc[10:20], self.df_buildings, "area", "area", "uID"
).series
assert (car_sel.index == self.df_tessellation.iloc[10:20].index).all()
self.blocks["area"] = self.blocks.geometry.area
car_block = mm.AreaRatio(self.blocks, self.df_buildings, "area", "area", "bID")
assert car_block.series.mean() == 0.2761974319698012check = 0.3206556897709747
assert car.mean() == check
assert carlr.mean() == check
far = mm.AreaRatio(
self.df_tessellation,
self.df_buildings,
self.df_tessellation.area,
self.df_buildings.fl_area,
"uID",
).series
check = 1.910949846262234
assert far.mean() == check
with pytest.raises(ValueError):
car = mm.AreaRatio(self.df_tessellation, self.df_buildings, "area", "area")
with pytest.raises(ValueError):
car = mm.AreaRatio(
self.df_tessellation,
self.df_buildings,
"area",
"area",
left_unique_id="uID",
)
with pytest.raises(ValueError):
car = mm.AreaRatio(
self.df_tessellation,
self.df_buildings,
"area",
"area",
right_unique_id="uID",
)
car_sel = mm.AreaRatio(
self.df_tessellation.iloc[10:20], self.df_buildings, "area", "area", "uID""uID",
).series
check = 1.910949846262234
assert far.mean() == check
with pytest.raises(ValueError):
car = mm.AreaRatio(self.df_tessellation, self.df_buildings, "area", "area")
with pytest.raises(ValueError):
car = mm.AreaRatio(
self.df_tessellation,
self.df_buildings,
"area",
"area",
left_unique_id="uID",
)
with pytest.raises(ValueError):
car = mm.AreaRatio(
self.df_tessellation,
self.df_buildings,
"area",
"area",
right_unique_id="uID",
)
car_sel = mm.AreaRatio(
self.df_tessellation.iloc[10:20], self.df_buildings, "area", "area", "uID"
).series
assert (car_sel.index == self.df_tessellation.iloc[10:20].index).all()
self.blocks["area"] = self.blocks.geometry.area
car_block = mm.AreaRatio(self.blocks, self.df_buildings, "area", "area", "bID")
assert car_block.series.mean() == 0.2761974319698012def test_AreaRatio(self):
car = mm.AreaRatio(
self.df_tessellation, self.df_buildings, "area", "area", "uID"
).series
carlr = mm.AreaRatio(
self.df_tessellation,
self.df_buildings,
"area",
"area",
left_unique_id="uID",
right_unique_id="uID",
).series
check = 0.3206556897709747
assert car.mean() == check
assert carlr.mean() == check
far = mm.AreaRatio(
self.df_tessellation,
self.df_buildings,def test_AreaRatio(self):
car = mm.AreaRatio(
self.df_tessellation, self.df_buildings, "area", "area", "uID"
).series
carlr = mm.AreaRatio(
self.df_tessellation,
self.df_buildings,
"area",
"area",
left_unique_id="uID",
right_unique_id="uID",
).series
check = 0.3206556897709747
assert car.mean() == check
assert carlr.mean() == check
far = mm.AreaRatio(
self.df_tessellation,
self.df_buildings,
self.df_tessellation.area,
self.df_buildings.fl_area,
"uID",
).series
check = 1.910949846262234
assert far.mean() == check
with pytest.raises(ValueError):
car = mm.AreaRatio(self.df_tessellation, self.df_buildings, "area", "area")
with pytest.raises(ValueError):
car = mm.AreaRatio(
self.df_tessellation,
self.df_buildings,
"area",
"area",def test_AreaRatio(self):
car = mm.AreaRatio(
self.df_tessellation, self.df_buildings, "area", "area", "uID"
).series
carlr = mm.AreaRatio(
self.df_tessellation,
self.df_buildings,
"area",
"area",
left_unique_id="uID",
right_unique_id="uID",
).series
check = 0.3206556897709747
assert car.mean() == check
assert carlr.mean() == check
far = mm.AreaRatio(
self.df_tessellation,
self.df_buildings,
self.df_tessellation.area,
self.df_buildings.fl_area,
"uID",car = mm.AreaRatio(
self.df_tessellation,
self.df_buildings,
"area",
"area",
left_unique_id="uID",
)
with pytest.raises(ValueError):
car = mm.AreaRatio(
self.df_tessellation,
self.df_buildings,
"area",
"area",
right_unique_id="uID",
)
car_sel = mm.AreaRatio(
self.df_tessellation.iloc[10:20], self.df_buildings, "area", "area", "uID"
).series
assert (car_sel.index == self.df_tessellation.iloc[10:20].index).all()
self.blocks["area"] = self.blocks.geometry.area
car_block = mm.AreaRatio(self.blocks, self.df_buildings, "area", "area", "bID")
assert car_block.series.mean() == 0.2761974319698012right_unique_id="uID",
).series
check = 0.3206556897709747
assert car.mean() == check
assert carlr.mean() == check
far = mm.AreaRatio(
self.df_tessellation,
self.df_buildings,
self.df_tessellation.area,
self.df_buildings.fl_area,
"uID",
).series
check = 1.910949846262234
assert far.mean() == check
with pytest.raises(ValueError):
car = mm.AreaRatio(self.df_tessellation, self.df_buildings, "area", "area")
with pytest.raises(ValueError):
car = mm.AreaRatio(
self.df_tessellation,
self.df_buildings,
"area",
"area",
left_unique_id="uID",
)
with pytest.raises(ValueError):
car = mm.AreaRatio(
self.df_tessellation,
self.df_buildings,
"area",
"area",
right_unique_id="uID",
)
Popular momepy functions
- momepy.Area
- momepy.AreaRatio
- momepy.AverageCharacter
- momepy.betweenness_centrality
- momepy.BlocksCount
- momepy.buffered_limit
- momepy.CourtyardArea
- momepy.datasets
- momepy.datasets.get_path
- momepy.FloorArea
- momepy.gdf_to_nx
- momepy.get_network_id
- momepy.nx_to_gdf
- momepy.Orientation
- momepy.Shannon
- momepy.SharedWallsRatio
- momepy.Simpson
- momepy.StreetAlignment
- momepy.sw_high
- momepy.Volume