Regresión con otros tipos de gráficos usando joinplot() y pairplot() —#

  • 0:00 min | Última modificación: Octubre 13, 2021 | [YouTube]

[1]:
import matplotlib.pyplot as plt
import seaborn as sns
[2]:
tips = sns.load_dataset("tips")

tips.head()
[2]:
total_bill tip sex smoker day time size
0 16.99 1.01 Female No Sun Dinner 2
1 10.34 1.66 Male No Sun Dinner 3
2 21.01 3.50 Male No Sun Dinner 3
3 23.68 3.31 Male No Sun Dinner 2
4 24.59 3.61 Female No Sun Dinner 4
[3]:
#
# Uso de joinplot()
#
sns.jointplot(
    x="total_bill",
    y="tip",
    data=tips,
    kind="reg",
)

plt.show()
../../_images/02_seaborn_notebooks_5-54_regression_other_contexts_3_0.png
[4]:
#
# Uso de pairplot()
#
sns.pairplot(
    tips,
    x_vars=["total_bill", "size"],
    y_vars=["tip"],
    height=5,
    aspect=0.8,
    kind="reg",
)

plt.show()
../../_images/02_seaborn_notebooks_5-54_regression_other_contexts_4_0.png
[5]:
sns.pairplot(
    tips,
    x_vars=["total_bill", "size"],
    y_vars=["tip"],
    hue="smoker",
    height=5,
    aspect=0.8,
    kind="reg",
)

plt.show()
../../_images/02_seaborn_notebooks_5-54_regression_other_contexts_5_0.png