I have a Geopandas data frame with multi-polygons geometries. Now, I want to convert the data frame into geojson. So, I have converted the dataframe into dict and then used json.dump(dict) to convert the data frame into json. This works well when I have single polygon but throws ...
come up with anything that didn't require cloud storage credentials in the test suite (the zip and tar VSIs don't support output like this, apparently). So I've settled for testing that the utility works as expected, and verified locally that this allows, e.g., writing GeoJSON to s3....
def convert_json_to_df(self): """ Convert the retrieved data to dataframe Returns: (Dataframe obj): df formed from the json extact. """ json_raw_data = self.get_json_obj_fr_file() new_data_list = [] for n in json_raw_data['searchresults']: temp_stock_dict={'SYMBOL':n['tic...
from osgeo import ogr import os # Read GeoJSON file geojson_file = 'file.geojson' GeoJSON_driver = ogr.GetDriverByName('GeoJSON') data = GeoJSON_driver.Open(geojson_file, 0) layer = data.GetLayer() # OSM file to write osm_file = 'file.osm' OSM_driver = ogr.GetDriverByName('...
I attempted to load the GeoJSON into a GeoPandas GeoDataframe using the following approach (note that polys is the GeoJSON object above): import geopandas as gpd polys_gdf = gpd.GeoDataFrame(polys).set_geometry('coordinates') Which yielded the following error: TypeError: Input must be vali...
If you are familiar with Pandas, the dataframe is a very useful tabular data structure for analysis. Geopandas builds on this by adding a GeoSeries to the tabular data structure. Here is how to read a featureclass from a geodatabase and convert it to either CSV or G...