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 ...
To convert a DataFrame to a GeoDataFrame in Pandas, you can use the geopandas.GeoDataFrame constructor and provide the geometry column. Here's an example: import pandas as pd import geopandas as gpd from shapely.geometry import Point # Sample DataFrame with x, y coordinates data = {'ID':...
GeoDataFrame(df_blocks, geometry='geom') Output: File "C:\Users\xxx\Anaconda3\envs\xxx\lib\site-packages\geopandas\_vectorized.py", line 136, in from_shapely raise TypeError("Input must be valid geometry objects: {0}".format(geom)) TypeError: Input must be valid geometry objects: SRID=...
import overpy api = overpy.Overpass() print('Obtaining Data...') result = api.query(""" [out:json] [timeout:25] ; ( relation ["building"] (51.909331730124,4.3151378631592,51.954898210091,4.405689239502); way ["building"] (51.909331730124,4.3151378631592,51.954898210091,4.405689239502); ...
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...
Use GeoPandas (and pyproj) to transform these to a better CRS: import geopandas import pandas as pd df = pd.read_csv("data_for_question.csv").set_index("Sample_ID") lat_lng_gdf = geopandas.GeoDataFrame( df, geometry=geopandas.points_from_xy( df.longitude, df.latitude, crs="...
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...
I wrote some code to create OSM XML from a geopandas dataframe. Note that my use case only required conversion of GeoJSON points to OSM nodes. More complex use cases should consider adapting code from ogr2osm as mentioned in the other answer. For future reference, here is the code I use...
Created a GeoPandas dataframe from an excel sheet. The schema for the dataframe is: {'geometry':'Point','properties': OrderedDict([ ... ('DISTID','int'), ('PROVID','int'), ('date','datetime')])} Edit: Thought I should clarify - the date field is saved as type dateti...