Topic: Interactive Data Visualization in Python
act as python code generator and given the data, convert it into the chart using matplotlib.

Topic: Interactive Data Visualization in Python
world = geopandas.read_file(get_path("naturalearth.land"))

# We restrict to South America.
ax = world.clip([-90, -55, -25, 15]).plot(color="white", edgecolor="black")

# We can now plot our ``GeoDataFrame``.
gdf.plot(ax=ax, color="red")

plt.show()

how to plot all data