Код: Выделить всё
import geopandas as gpd
vec_data = gpd.read_file("map.shp")
vec_data.head()
vec_data['cols_name'].unique()
sel_crop = vec_data[vec_data.cols_name == 'Permanent Grassland']
sel_crop.to_file("Permanent_Grassland.geojson", driver='GeoJSON')
feature = gpd.read_file(Permanent_Grassland.geojson)
Код: Выделить всё
{
"name": "DataSourceError",
"message": "Failed to read GeoJSON data",
"stack": "---------------------------------------------------------------------------
DataSourceError Traceback (most recent call last)
Cell In[8], line 1
----> 1 feature = gpd.read_file(path_feature)
File c:\\Users\\bventura\\AppData\\Local\\anaconda3\\Lib\\site-packages\\geopandas\\io\\file.py:294, in _read_file(filename, bbox, mask, columns, rows, engine, **kwargs)
291 from_bytes = True
293 if engine == \"pyogrio\":
--> 294 return _read_file_pyogrio(
295 filename, bbox=bbox, mask=mask, columns=columns, rows=rows, **kwargs
296 )
298 elif engine == \"fiona\":
299 if pd.api.types.is_file_like(filename):
File c:\\Users\\bventura\\AppData\\Local\\anaconda3\\Lib\\site-packages\\geopandas\\io\\file.py:547, in _read_file_pyogrio(path_or_bytes, bbox, mask, rows, **kwargs)
538 warnings.warn(
539 \"The 'include_fields' and 'ignore_fields' keywords are deprecated, and \"
540 \"will be removed in a future release. You can use the 'columns' keyword \"
(...)
543 stacklevel=3,
544 )
545 kwargs[\"columns\"] = kwargs.pop(\"include_fields\")
--> 547 return pyogrio.read_dataframe(path_or_bytes, bbox=bbox, **kwargs)
File c:\\Users\\bventura\\AppData\\Local\\anaconda3\\Lib\\site-packages\\pyogrio\\geopandas.py:261, in read_dataframe(path_or_buffer, layer, encoding, columns, read_geometry, force_2d, skip_features, max_features, where, bbox, mask, fids, sql, sql_dialect, fid_as_index, use_arrow, on_invalid, arrow_to_pandas_kwargs, **kwargs)
256 if not use_arrow:
257 # For arrow, datetimes are read as is.
258 # For numpy IO, datetimes are read as string values to preserve timezone info
259 # as numpy does not directly support timezones.
260 kwargs[\"datetime_as_string\"] = True
--> 261 result = read_func(
262 path_or_buffer,
263 layer=layer,
264 encoding=encoding,
265 columns=columns,
266 read_geometry=read_geometry,
267 force_2d=gdal_force_2d,
268 skip_features=skip_features,
269 max_features=max_features,
270 where=where,
271 bbox=bbox,
272 mask=mask,
273 fids=fids,
274 sql=sql,
275 sql_dialect=sql_dialect,
276 return_fids=fid_as_index,
277 **kwargs,
278 )
280 if use_arrow:
281 meta, table = result
File c:\\Users\\bventura\\AppData\\Local\\anaconda3\\Lib\\site-packages\\pyogrio\\raw.py:196, in read(path_or_buffer, layer, encoding, columns, read_geometry, force_2d, skip_features, max_features, where, bbox, mask, fids, sql, sql_dialect, return_fids, datetime_as_string, **kwargs)
56 \"\"\"Read OGR data source into numpy arrays.
57
58 IMPORTANT: non-linear geometry types (e.g., MultiSurface) are converted
(...)
191
192 \"\"\"
194 dataset_kwargs = _preprocess_options_key_value(kwargs) if kwargs else {}
--> 196 return ogr_read(
197 get_vsi_path_or_buffer(path_or_buffer),
198 layer=layer,
199 encoding=encoding,
200 columns=columns,
201 read_geometry=read_geometry,
202 force_2d=force_2d,
203 skip_features=skip_features,
204 max_features=max_features or 0,
205 where=where,
206 bbox=bbox,
207 mask=_mask_to_wkb(mask),
208 fids=fids,
209 sql=sql,
210 sql_dialect=sql_dialect,
211 return_fids=return_fids,
212 dataset_kwargs=dataset_kwargs,
213 datetime_as_string=datetime_as_string,
214 )
File c:\\Users\\bventura\\AppData\\Local\\anaconda3\\Lib\\site-packages\\pyogrio\\_io.pyx:1239, in pyogrio._io.ogr_read()
File c:\\Users\\bventura\\AppData\\Local\\anaconda3\\Lib\\site-packages\\pyogrio\\_io.pyx:219, in pyogrio._io.ogr_open()
DataSourceError: Failed to read GeoJSON data"
}
{
"type": "FeatureCollection",
"name": "Permanent_Grassland",
"crs": { "type": "name", "properties": { "name": "urn:ogc:def:crs:OGC:1.3:CRS84 " } },
"features": [
{ "type": "Feature", "properties": { "ID": 3097, "DESCR_IT": "Prato stabile", "DESCR_DE": "Wiese (Dauerwiese)", "AREA": 440.93, "RIF_DATE": "20210413154430", "DESCR_ENG": "Луг (постоянный луг)", "cols_name": "Постоянные луга" }, "geometry": { "type ": "МультиПолигон", "координаты": [ [ [ [ 10.518715381443991, 46.693024346333097 ], [ 10.518776526157543, 46.693110649102266 ], [ 10.51888435524486 3, 46.69321532083277 ], [ 10.518931889188543 , 46.693259326907466 ], [ 10.519043615333992 , 46.693279082109612 ], [ 10.5191134052228 71, 46.693239907829479 ], [ 10.519156145906413, 46.693220261486537 ], [ 10.519085550826658 , 46.693123465078543 ], [ 10.518963038138031, 46.692938263595963 ] ...
Подробнее здесь: https://stackoverflow.com/questions/791 ... ng-geojson