How to find which points intersect with a polygon in geopandas?

Question

I've been trying to use the "intersects" feature on a geodataframe, looking to see which points lie inside a polygon. However, only the first feature in the frame will return as true. What am I doing wrong?

from geopandas.geoseries import *

p1 = Point(.5,.5)
p2 = Point(.5,1)
p3 = Point(1,1)

g1 = GeoSeries([p1,p2,p3])
g2 = GeoSeries([p2,p3])

g = GeoSeries([Polygon([(0,0), (0,2), (2,2), (2,0)])])

g1.intersects(g) # Flags the first point as inside, even though all are.
g2.intersects(g) # The second point gets picked up as inside (but not 3rd)

Answer 1

Since geopandas underwent many performance-enhancing changes recently, answers here are outdated. Geopandas 0.8 introduced many changes that makes handling large datasets a lot faster.

import geopandas
from shapely.geometry import Polygon

p1 = Point(.5,.5)
p2 = Point(.5,1)
p3 = Point(1,1)

points = GeoSeries([p1,p2,p3])

poly = GeoSeries([Polygon([(0,0), (0,2), (2,2), (2,0)])])

geopandas.overlay(points, poly, how='intersection')

Answer 2

You can easily check which points lies inside a polygon with this simple function below:

import geopandas
from shapely.geometry import *

p1 = Point(.5,.5)
p2 = Point(.5,1)
p3 = Point(1,1)

g = Polygon([(0,0), (0,2), (2,2), (2,0)])

def point_inside_shape(point, shape):
    #point of type Point
    #shape of type Polygon
    pnt = geopandas.GeoDataFrame(geometry=[point], index=['A'])
    return(pnt.within(shape).iloc[0])

for p in [p1, p2, p3]:
    print(point_inside_shape(p, g))