Bubbleplot usando seaborn —-#
0:00 min | Última modificación: Octubre 13, 2021 | [YouTube]
[1]:
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
[2]:
gapminder = pd.read_csv(
"https://raw.githubusercontent.com/jdvelasq/datalabs/master/datasets/gapminder.csv",
)
year_2017 = gapminder[gapminder.year == 2007]
year_2017.head()
[2]:
| Unnamed: 0 | country | year | population | cont | life_exp | gdp_cap | |
|---|---|---|---|---|---|---|---|
| 0 | 11 | Afghanistan | 2007 | 31889923.0 | Asia | 43.828 | 974.580338 |
| 1 | 23 | Albania | 2007 | 3600523.0 | Europe | 76.423 | 5937.029526 |
| 2 | 35 | Algeria | 2007 | 33333216.0 | Africa | 72.301 | 6223.367465 |
| 3 | 47 | Angola | 2007 | 12420476.0 | Africa | 42.731 | 4797.231267 |
| 4 | 59 | Argentina | 2007 | 40301927.0 | Americas | 75.320 | 12779.379640 |
[3]:
sns.scatterplot(
data=year_2017,
x="gdp_cap",
y="life_exp",
size="population",
legend=False,
sizes=(20, 2000),
)
plt.show()
