Unemployment rate by state

In this example we’ll visualize the most recent data on brazilian unemployment per state.

Let’s again retrieve the data with the seriesbr package.

from seriesbr import ibge

df = ibge.get_series(
    4095, 4099, last_n=1, states=True
)

Now let’s convert this DataFrame into a GeoDataFrame after getting the geometric objects for each state.

import geopandas as gpd
from mapsbr import ibgemaps

df = df.assign(geometry=ibgemaps.geocode(df["Unidade da Federação (Código)"]))
gdf = gpd.GeoDataFrame(df)

Now let’s plot it.

import matplotlib.pyplot as plt

fig, ax = plt.subplots()
ax.axis("off")

gdf.plot(column="Valor", cmap="OrRd", legend=True, ax=ax)
plt.show()

Estimated memory usage: 9 MB