CODEWITHSUNDEEP
listgeometrygeopandas
Neo
Neo

Reputation: 492

geopandas: from a column of coordinate list to geometry

I have a DataFrame which has a column of coordinates list looks like the following:

enter image description here

I want to make this DataFrame a GeoPandas DataFrame with a geometry column. One way for doing this is to create two lists representing latitude and longitude and store the first and second element from the coors column to latitude and longitude, respectively. Then sue gpd.points_from_xy to build the geometry column. But this approach adds extra steps for building GeoPandas DataFrame. My question is how to build geometry directly from the coors list.

I add some test data here:

import pandas ad pd
import geopandas as gpd

data = {'id':[0,1,2,3], 'coors':[[41,-80],[40,-76],[35,-70],[35,-87]]}
df = pd.DataFrame.from_dict(data)

Upvotes: 2

Views: 4686

Answers (2)

Luis Fernando Vásquez Vergara
Luis Fernando Vásquez Vergara

Reputation: 41

In the case that you have latitude and longitude in separated columns, You can do this:

import pandas as pd
import geopandas as gpd
from shapely.geometry import Point

def create_geometry(row):
  row["geometry"] = Point(row["latitude"],row["longitude"])
  return row

df = pd.read_[parquet|csv|etc]("file")
df = df.apply(create_geometry,axis=1)
gdf = gpd.GeoDataFrame(df,crs=4326)

Then, You can verify it doing:

df.geometry.head(1)

output

16    POINT (7.88507 -76.63130)
Name: geometry, dtype: geometry

Upvotes: 0

martinfleis
martinfleis

Reputation: 7824

You can just apply Point to the 'coors' column to generate point geometry.

from shapely.geometry import Point

df['geometry'] = df.coors.apply(Point)
gdf = gpd.GeoDataFrame(df)  # you should also specify CRS

Upvotes: 4

Related Questions