Personalización de gráficos de regresión usando lmplot() —#
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]:
#
# Tamaño
#
f, ax = plt.subplots(figsize=(5, 6))
sns.regplot(
x="total_bill",
y="tip",
data=tips,
ax=ax,
)
plt.show()
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[4]:
#
# Número fijo de columnas
#
sns.lmplot(
x="total_bill",
y="tip",
col="day",
data=tips,
col_wrap=2,
height=4,
)
plt.show()
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[5]:
#
# Relación de aspecto de la gráfica
#
sns.lmplot(
x="total_bill",
y="tip",
col="day",
data=tips,
aspect=0.5,
)
plt.show()
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