Integrating with GeoPandas¶

from verticapy.datasets import load_world
world = load_world()
display(world)

import verticapy.stats as st
world["geography"] = st.apply("stv_geography", world["geometry"])
world["geography"].astype("geography")
world["area"] = st.apply("st_area", world["geography"])
display(world)

df = world.to_geopandas(geometry = "geometry")
display(df)

ax = df.plot(edgecolor = "black",
             color = "white",
             figsize = (10, 9))

from verticapy.datasets import load_cities
# Loading the cities dataset
cities = load_cities()

import verticapy.stats as st
import matplotlib.pyplot as plt

# Creating a Matplotlib figure
fig, ax = plt.subplots()
fig.set_size_inches(11, 8)

# Extracting longitude and latitude
cities["lon"] = st.apply("st_x", cities["geometry"])
cities["lat"] = st.apply("st_y", cities["geometry"])

# Drawing the data on a Map
ax = cities.scatter(["lon", "lat"], ax = ax)
df.plot(edgecolor = "black",
        color = "white",
        ax = ax)

import verticapy as vp

# Africa Dataset
africa = vp.read_csv("data/africa_education.csv")
africa_world = load_world()
africa_world = africa_world[africa_world["continent"] == "Africa"]
ax = africa_world["geometry"].geo_plot(color = "white",
                                       edgecolor='black',)

# displaying schools in Africa
africa.scatter(["lon", "lat"],
               catcol = "country_long",
               ax = ax,
               with_others = False,
               max_cardinality = 20)