geopandas : Obtain min , max lat and long for all geometries

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

total_bounds returns a tuple containing minx, miny, maxx, maxy values for the bounds of the series as a whole.

bounds returns a DataFrame with columns minx, miny, maxx, maxy values containing the bounds for each geometry.

Viz.——

import geopandas as gpd
from shapely.geometry import box
import matplotlib.pyplot as plt

world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))
world.bounds
world.total_bounds

# bounds for individual geometries
poly_geom = world.bounds
b = poly_geom.apply(lambda row: box(row.minx, row.miny, row.maxx, row.maxy), axis=1)
boxes = gpd.GeoDataFrame(poly_geom, geometry=b)

# visualize
ax = world.plot()
boxes.boundary.plot(color='r', ax=ax)
plt.show()

# total bounds for all geometries
world_box = gpd.GeoSeries(box(*world.total_bounds))

# visualize
ax = world.plot()
world_box.boundary.plot(color='r', ax=ax)
plt.show()

bounds:

total_bounds: