crs-l1-nyc-webmercator-cycleways
Map (reference ← swipe → agent)
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The `nyc_cycleways` file came out of our tile-renderer, but our web map client can't read the coordinates as they are. It needs plain lat/lon. Can you convert them over? Please leave the attributes alone, and make sure each geometry stays a plain LineString rather than turning into a MultiLineString. Write the result as GeoParquet to `nyc_cycleways_wgs84.geoparquet`, and use `id` as the key.
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System info
{
"adapter": "openrouter",
"model": "google/gemma-4-26b-a4b-it",
"base_url": "https://openrouter.ai/api/v1"
}
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Bash
ls -F
nyc_cycleways_webmercator.geoparquet
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Bash
python -c "import geopandas as gpd; gdf = gpd.read_parquet('nyc_cycleways_webmer...
{"$schema": "https://proj.org/schemas/v0.7/projjson.schema.json", "type": "ProjectedCRS", "name": "WGS 84 / Pseudo-Mercator", "base_crs": {"name": "WGS 84", "datum_ensemble": {"name": "World Geodetic System 1984 ensemble", "members": [{"name": "World Geodetic System 1984 (Transit)"}, {"name": "World Geodetic System 1984 (G730)"}, {"name": "World Geodetic System 1984 (G873)"}, {"name": "World Geodetic System 1984 (G1150)"}, {"name": "World Geodetic System 1984 (G1674)"}, {"name": "World Geodetic System 1984 (G1762)"}, {"name": "World Geodetic System 1984 (G2139)"}, {"name": "World Geodetic System 1984 (G2296)"}], "ellipsoid": {"name": "WGS 84", "semi_major_axis": 6378137, "inverse_flattening": 298.257223563}, "accuracy": "2.0", "id": {"authority": "EPSG", "code": 6326}}, "coordinate_system": {"subtype": "ellipsoidal", "axis": [{"name": "Geodetic latitude", "abbreviation": "Lat", "direction": "north", "unit": "degree"}, {"name": "Geodetic longitude", "abbreviation": "Lon", "direction": "east", "unit": "degree"}]}, "id": {"authority": "EPSG", "code": 4326}}, "conversion": {"name": "Popular Visualisation Pseudo-Mercator", "method": {"name": "Popular Visualisation Pseudo Mercator", "id": {"authority": "EPSG", "code": 1024}}, "parameters": [{"name": "Latitude of natural origin", "value": 0, "unit": "degree", "id": {"authority": "EPSG", "code": 8801}}, {"name": "Longitude of natural origin", "value": 0, "unit": "degree", "id": {"authority": "EPSG", "code": 8802}}, {"name": "False easting", "value": 0, "unit": "metre", "id": {"authority": "EPSG", "code": 8806}}, {"name": "False northing", "value": 0, "unit": "metre", "id": {"authority": "EPSG", "code": 8807}}]}, "coordinate_system": {"subtype": "Cartesian", "axis": [{"name": "Easting", "abbreviation": "X", "direction": "east", "unit": "metre"}, {"name": "Northing", "abbreviation": "Y", "direction": "north", "unit": "metre"}]}, "scope": "Web mapping and visualisation.", "area": "World between 85.06\u00b0S and 85.06\u00b0N.", "bbox": {"south_latitude": -85.06, "west_longitude": -180, "north_latitude": 85.06, "east_longitude": 180}, "id": {"authority": "EPSG", "code": 3857}}
0 LINESTRING (-8237655.109 4969349.09, -8237647....
1 LINESTRING (-8238414.664 4968742.88, -8238412....
2 LINESTRING (-8237647.194 4969335.991, -8237653...
3 LINESTRING (-8239417.709 4969903.63, -8239413....
4 LINESTRING (-8233018.341 4976811.579, -8232985...
Name: geometry, dtype: geometry
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Write
/work/solve.py
content · 76 lines · py
import geopandas as gpd
from shapely.geometry import LineString, MultiLineString
def ensure_linestring(geom):
"""Converts MultiLineString to LineString by exploding and then reconstructing if possible,
or just taking the first part if we want to be safe, but the prompt says 'make sure each geometry stays
a plain LineString rather than turning into a MultiLineString'.
In GIS, exploding a MultiLineString usually results in multiple rows.
However, if the user wants to 'leave the attributes alone', it implies they want
1 row = 1 geometry.
The most common way to convert MultiLineString to LineString without creating new rows
is to take the longest part or just explode and accept multiple rows (but that changes attributes).
Wait, if I explode, I get multiple rows. If I don't want multiple rows,
I might have to merge them or just take the largest part.
Actually, the instruction 'make sure each geometry stays a plain LineString'
usually implies that if a geometry *would* become a MultiLineString during
the transformation (which shouldn't happen with a simple CRS transform unless the
projection is very weird, but can happen with other operations), we should handle it.
Let's see if the CRS transform (3857 -> 4326) creates MultiLineStrings.
Usually it doesn't. But if it does, we can use 'explode' and then maybe
the user wants the parts joined? No, 'leave attributes alone' suggests
not changing the number of rows.
If I have a MultiLineString, I can attempt to combine them into one LineString
if they are connected, but that's complex.
A simpler interpretation: if the result is a MultiLineString,
pick the largest constituent LineString to maintain 1:1 mapping.
"""
if isinstance(geom, MultiLineString):
# Get the largest part by length
return max(geom.geoms, key=lambda x: x.length)
return geom
def main():
input_file = 'nyc_cycleways_webmercator.geoparquet'
output_file = 'nyc_cycleways_wgs84.geoparquet'
# Read the data
gdf = gpd.read_parquet(input_file)
print(f"Read {len(gdf)} rows from {input_file}")
# Check if we have any MultiLineStrings initially
multi_count = gdf.geometry.type.value_counts().get('MultiLineString', 0)
print(f"Initial MultiLineString count: {multi_count}")
# Transform to WGS84 (EPSG:4326)
gdf = gdf.to_crs(epsg=4326)
# Ensure geometries are LineString
gdf['geometry'] = gdf['geometry'].apply(ensure_linestring)
# Check if we still have MultiLineStrings
new_multi_count = gdf.geometry.type.value_counts().get('MultiLineString', 0)
print(f"Post-transform MultiLineString count: {new_multi_count}")
# Verify we didn't create any MultiLineStrings (they should all be LineString now)
if new_multi_count > 0:
print("Warning: Some geometries are still MultiLineString!")
else:
print("All geometries are now LineString.")
# Ensure 'id' is the index/key if needed, though GeoParquet handles columns.
# The user said 'use id as the key'. In GeoParquet/Pandas, this usually means
# 'id' should be a column. It already is likely.
# Let's ensure 'id' column exists.
if 'id' not in gdf.columns:
print("Warning: 'id' column not found. Using index.")
# Write to GeoParquet
gdf.to_parquet(output_file)
print(f"Successfully wrote to {output_file}")
if __name__ == "__main__":
main()
Wrote /work/solve.py (3523 chars).
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Bash
python solve.py
Read 272 rows from nyc_cycleways_webmercator.geoparquet Initial MultiLineString count: 0 Post-transform MultiLineString count: 0 All geometries are now LineString. Successfully wrote to nyc_cycleways_wgs84.geoparquet
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Bash
python -c "import geopandas as gpd; gdf = gpd.read_parquet('nyc_cycleways_wgs84....
{"$schema": "https://proj.org/schemas/v0.7/projjson.schema.json", "type": "GeographicCRS", "name": "WGS 84", "datum_ensemble": {"name": "World Geodetic System 1984 ensemble", "members": [{"name": "World Geodetic System 1984 (Transit)"}, {"name": "World Geodetic System 1984 (G730)"}, {"name": "World Geodetic System 1984 (G873)"}, {"name": "World Geodetic System 1984 (G1150)"}, {"name": "World Geodetic System 1984 (G1674)"}, {"name": "World Geodetic System 1984 (G1762)"}, {"name": "World Geodetic System 1984 (G2139)"}, {"name": "World Geodetic System 1984 (G2296)"}], "ellipsoid": {"name": "WGS 84", "semi_major_axis": 6378137, "inverse_flattening": 298.257223563}, "accuracy": "2.0", "id": {"authority": "EPSG", "code": 6326}}, "coordinate_system": {"subtype": "ellipsoidal", "axis": [{"name": "Geodetic latitude", "abbreviation": "Lat", "direction": "north", "unit": "degree"}, {"name": "Geodetic longitude", "abbreviation": "Lon", "direction": "east", "unit": "degree"}]}, "scope": "Horizontal component of 3D system.", "area": "World.", "bbox": {"south_latitude": -90, "west_longitude": -180, "north_latitude": 90, "east_longitude": 180}, "id": {"authority": "EPSG", "code": 4326}}
0 LINESTRING (-74.00011 40.70788, -74.00004 40.7...
1 LINESTRING (-74.00694 40.70375, -74.00692 40.7...
2 LINESTRING (-74.00004 40.70779, -74.0001 40.70...
3 LINESTRING (-74.01595 40.71166, -74.01591 40.7...
4 LINESTRING (-73.95846 40.75868, -73.95817 40.7...
Name: geometry, dtype: geometry
Index(['id', 'class', 'subclass', 'name', 'geometry'], dtype='str')
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