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import random
from geopandas import GeoDataFrame, GeoSeries
from shapely.geometry import Point, LineString, Polygon, MultiPolygon
import numpy as np
class Bench:
param_names = ["geom_type"]
params = [("Point", "LineString", "Polygon", "MultiPolygon", "mixed")]
def setup(self, geom_type):
if geom_type == "Point":
geoms = GeoSeries([Point(i, i) for i in range(1000)])
elif geom_type == "LineString":
geoms = GeoSeries(
[
LineString([(random.random(), random.random()) for _ in range(5)])
for _ in range(100)
]
)
elif geom_type == "Polygon":
geoms = GeoSeries(
[
Polygon([(random.random(), random.random()) for _ in range(3)])
for _ in range(100)
]
)
elif geom_type == "MultiPolygon":
geoms = GeoSeries(
[
MultiPolygon(
[
Polygon(
[(random.random(), random.random()) for _ in range(3)]
)
for _ in range(3)
]
)
for _ in range(20)
]
)
elif geom_type == "mixed":
g1 = GeoSeries([Point(i, i) for i in range(100)])
g2 = GeoSeries(
[
LineString([(random.random(), random.random()) for _ in range(5)])
for _ in range(100)
]
)
g3 = GeoSeries(
[
Polygon([(random.random(), random.random()) for _ in range(3)])
for _ in range(100)
]
)
geoms = g1
geoms.iloc[np.random.randint(0, 100, 50)] = g2.iloc[:50]
geoms.iloc[np.random.randint(0, 100, 33)] = g3.iloc[:33]
print(geoms.geom_type.value_counts())
df = GeoDataFrame({"geometry": geoms, "values": np.random.randn(len(geoms))})
self.geoms = geoms
self.df = df
def time_plot_series(self, *args):
self.geoms.plot()
def time_plot_values(self, *args):
self.df.plot(column="values")
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