Trying to export shapefile attributetable to JSON using GeoPandas without the geometry

Question

I am using GeoPandas' read_file function to read a shapefile
and to_file function to save to GeoJSON.
This is working fast and good.
But I need to save only the attribute table without the geometry
or with empty geometry.
How can I do that?
import geopandas as gpd
import pandas as pd
import fiona

def main():
filepath = "D:DATAlayers1TTL_TRANSPORT.shp"
destination = "D:DATAjsonfilessample.json"

gdf = gpd.read_file(filepath)

df = pd.DataFrame(gdf)
columns_without_geom = gdf.columns

print( columns_without_geom)

if 'geometry' in columns_without_geom:
   columns_without_geom.drop('geometry')

gdf = gdf[columns_without_geom]
df = pd.DataFrame(gdf)
df.to_json(destination)
df.to_json(destination)

Jan Doležal · Answer

If needed, you can convert your dataframe to pandas dataframe and save it with:
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.to_json.html
so something like:
df = pd.DataFrame(gdf)
df.to_json(output)

You might have to select columns without geometry.
columns_without_geom = gdf.columns
if 'geometry' in columns_without_geom: 
     columns_without_geom.remove('geometry')

gdf = gdf[columns_without_geom]
df = pd.DataFrame(gdf)
df.to_json(output)

bugmenot123 · Answer

GeoPandas is an addon to Pandas where a geometry column has special meaning and writing output writes geospatial file formats. If you want to export just the non-spatial data, the easiest way would be to create a plain Pandas DataFrame from your GeoDataframe, so the geometry column loses its special meaning, and then remove it.
To do so in one "step":
df = pd.DataFrame(gdf).drop(columns="geometry")

Then you can use the resulting DataFrame's to_json() as intended.
df.to_json(destination)

Trying to export shapefile attributetable to JSON using GeoPandas without the geometry

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