Obtain min and max lat,long for all geometries using GeoPandas

Question

I am reading a shapefile of a county and need to extract the min and max coordinates across all geometries. It seems like this is possible with each individual geometries in the shapefile with shapely but not across all geometries in shapefile.

sf_shp = os.getcwd() + '/data/map/San_Mateo/SAN_MATEO_COUNTY_STREETS.shp'
sfgeodata = gpd.read_file(sf_shp)

sfgeodata.total_bounds <-- for bounding box. 

Is there a property or a function to obtain this info in GeoPandas or any other packages?

Answer 1

You can apply bounds to each row, create a list of tuples [(xmin, ymin, xmax, ymax), (xmin, ...] and use itemgetter to find overall min and max:

import datetime as dt
import geopandas as gpd
from operator import itemgetter
start = dt.datetime.now()

df = gpd.read_file('/home/bera/GIS/Data/testdata/my_riks.shp')
bounds = df.geometry.apply(lambda x: x.bounds).tolist()

minx, miny, maxx, maxy = min(bounds, key=itemgetter(0))[0], min(bounds, key=itemgetter(1))[1], max(bounds, key=itemgetter(2))[2], max(bounds, key=itemgetter(3))[3] #https://stackoverflow.com/questions/13145368/find-the-maximum-value-in-a-list-of-tuples-in-python
print(minx, miny, maxx, maxy)
print('Processing time: {0} seconds'.format((dt.datetime.now()-start).seconds))

#245209.174 6111275.67 921093.74 7671055.56
#Processing time: 14 seconds

Answer 2

All you need to do is use total_bounds method:

bounds = gdf.total_bounds

It is going to give you the values that you want.

The result will be the same even if you get the bounds of each geometry.