In [4]:
#!pip install geopandas
#!pip install matplotlib
#!pip install geodatasets
In [2]:
# https://www.naturalearthdata.com/downloads/10m-cultural-vectors/
# Plotting on a World Map
import pandas as pd
from shapely.geometry import Point
import geopandas as gpd
import matplotlib.pyplot as plt
#################################################
## WORLD MAP
world = gpd.read_file("H:\\My Drive\\0001_projects\\2024\\Maps\\ne_10m_admin_0_countries.zip")
#################################################
## Points
data = {
''''City'''': [''''New York'''', ''''Los Angeles'''', ''''Chicago'''', ''''London'''', ''''Paris'''', ''''Lisbon''''],
''''Latitude'''': [40.7128, 34.0522, 41.8781, 51.509865, 48.864716, 38.736946 ],
''''Longitude'''': [-74.0060, -118.2437, -87.6298, -0.118092, 2.349014, -9.142685]
}
df = pd.DataFrame(data)
geometry = [Point(xy) for xy in zip(df[''''Longitude''''], df[''''Latitude''''])]
gdf = gpd.GeoDataFrame(df, geometry=geometry)
##################################################
# Plotting the world map
fig, ax = plt.subplots(1, 1, figsize=(15, 10))
world.plot(ax=ax, cmap=''''Pastel1'''', edgecolor=''''k'''')
gdf.plot(ax=ax, color=''''red'''', markersize=50)
plt.title(''''World Map'''')
plt.show()
