Extract longitude and latitude coordinates into separate columns with GeoPandas geometry

I am currently working on an Exploratory Data Analysis for the NYC taxi dataset. Since the new datasets had location ID’s instead of long and lat coordinates.

sf = gpd.read_file(r"shape/taxi_zones.shp")
zone = pd.read_csv(r"Datasets/taxi+_zone_lookup.csv")

# Convert geometry to long/lat 
sf['geometry'] = sf['geometry'].to_crs("+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs")

gdf = gpd.GeoDataFrame(pd.merge(yellowtaxidf, sf, left_on='PULocationID', right_on='LocationID')).drop('PULocationID',axis=1)

As you can see, there is two pairs of coordinates in the geometry feature.

I am wondering if there is a way to extract each pair into a separate column for pick up long/lat and drop off long/lat so that I can perform several geospatial data visualizations.

Also is my understanding that the first pair of coordinates represent pick up and the second represents drop off coordinates correct?