Resolved: Geopandas dataframe to select certain ID and find geometries within specified distance

{
    "type": "FeatureCollection",
    "features": [
        {
            "type": "Feature",
            "properties": {
                "id": "1"
            },
            "geometry": {
                "type": "Point",
                "coordinates": [
                    -5.905044078826904,
                    54.609987802465916
                ]
            }
        },
      {
            "type": "Feature",
            "properties": {
                "id": "11"
            },
            "geometry": {
                "type": "Point",
                "coordinates": [
                    -5.902683734893799,
                    54.60972062159888
                ]
            }
        }
    ]
}

etc

import geopandas as gpd
import pandas as pd

input_file = 'C:/test/points.geojson'
df = gpd.read_file(input_file)
df['lon'] = df['geometry'].x
df['lat'] = df['geometry'].y


gdf = gpd.GeoDataFrame(
    df,
    geometry=gpd.points_from_xy(
        df["lon"],
        df["lat"],
    ),
    crs={"init":"EPSG:2157"},
)

print(gdf)

gdf_proj = gdf.to_crs({"init": "EPSG:3857"})


x = gdf_proj.buffer(10)

neighbours = gdf_proj["geometry"].intersection(x)

# print all the nearby points
print(gdf_proj[~neighbours.is_empty])

import geopandas as gpd</p>
<p>input_file = 'test.geojson'<br />
gdf = gpd.read_file(input_file).to_crs('EPSG:3857')<br />
my_id = 1<br />
search_distance = 10<br />
selected_feature = gdf.loc[gdf['id'].astype(int) == my_id]<br />
result = (<br />
    gdf<br />
    .assign(distance=gdf.apply(lambda x: x.geometry.distance(selected_feature.geometry.iloc[0]), axis=1))<br />
    .query(f'distance <= {search_distance}')
)
print(result)
[/code]

</p>



Output:<br> 


<p>[code]  id                         geometry  distance<br />
0  1  POINT (-657346.500 7286537.676)  0.000000<br />
1  2  POINT (-657339.334 7286538.871)  7.264817