Histogramas bivariados con displot() —#
0:00 min | Última modificación: Octubre 13, 2021 | [YouTube]
[1]:
import matplotlib.pyplot as plt
import seaborn as sns
[2]:
penguins = sns.load_dataset("penguins")
[3]:
#
# Heatmap básico
#
sns.displot(
penguins,
x="bill_length_mm",
y="bill_depth_mm",
binwidth=(2, 0.5),
cbar=True,
rug=True,
kind='hist',
)
plt.show()

[4]:
#
# Heatmap por variable categórica.
#
sns.displot(
penguins,
x="bill_length_mm",
y="bill_depth_mm",
binwidth=(2, 0.5),
hue="species",
rug=True,
kind='hist',
)
plt.show()
