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PERF: Implement cached transformer.from_crs for to_crs (#2762)

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Dr Martin Black
2023-01-19 23:13:45 +01:00
committed by GitHub
parent 7e1164fff8
commit f8b2fc2bd3
1 changed files with 6 additions and 2 deletions
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geopandas/array.py
+6 -2
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@@ -2,6 +2,7 @@ import numbers
import operator
import warnings
import inspect
from functools import lru_cache
import numpy as np
import pandas as pd
@@ -29,6 +30,9 @@ from . import _vectorized as vectorized
from .sindex import _get_sindex_class
TransformerFromCRS = lru_cache(Transformer.from_crs)
class GeometryDtype(ExtensionDtype):
type = BaseGeometry
name = "geometry"
@@ -779,7 +783,7 @@ class GeometryArray(ExtensionArray):
if self.crs.is_exact_same(crs):
return self
transformer = Transformer.from_crs(self.crs, crs, always_xy=True)
transformer = TransformerFromCRS(self.crs, crs, always_xy=True)
new_data = vectorized.transform(self.data, transformer.transform)
return GeometryArray(new_data, crs=crs)
@@ -837,7 +841,7 @@ class GeometryArray(ExtensionArray):
y_center = np.mean([miny, maxy])
# ensure using geographic coordinates
else:
transformer = Transformer.from_crs(self.crs, "EPSG:4326", always_xy=True)
transformer = TransformerFromCRS(self.crs, "EPSG:4326", always_xy=True)
if compat.PYPROJ_GE_31:
minx, miny, maxx, maxy = transformer.transform_bounds(
minx, miny, maxx, maxy