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Prioritize using longitude and latitude columns in building files when present. #291

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Prioritize using longitude and latitude columns in building files when present. #291

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12 changes: 7 additions & 5 deletions src/skai/buildings.py
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Original file line number Diff line number Diff line change
Expand Up @@ -41,21 +41,23 @@ def _read_buildings_csv(path: str) -> gpd.GeoDataFrame:
"""
with tf.io.gfile.GFile(path, 'r') as csv_file:
df = pd.read_csv(csv_file)
if 'geometry' in df.columns:
if 'longitude' in df.columns and 'latitude' in df.columns:
geometries = gpd.points_from_xy(df['longitude'], df['latitude'])
df.drop(columns=['longitude', 'latitude'], inplace=True)
elif 'geometry' in df.columns:
logging.info('Parsing %d WKT strings. This could take a while.', len(df))
geometries = gpd.GeoSeries.from_wkt(df['geometry'])
df.drop(columns=['geometry'], inplace=True)
elif 'wkt' in df.columns:
logging.info('Parsing %d WKT strings. This could take a while.', len(df))
geometries = gpd.GeoSeries.from_wkt(df['wkt'])
df.drop(columns=['wkt'], inplace=True)
elif 'longitude' in df.columns and 'latitude' in df.columns:
geometries = gpd.points_from_xy(df['longitude'], df['latitude'])
df.drop(columns=['longitude', 'latitude'], inplace=True)
else:
raise ValueError(f'No geometry information found in file "{path}"')

return gpd.GeoDataFrame(df, geometry=geometries, crs=4326)
geometries = geometries.normalize()
gdf = gpd.GeoDataFrame(df, geometry=geometries, crs=4326)
return gdf.drop_duplicates()


def convert_buildings_file(
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