Barplots usando catplot() —

• 0:00 min | Última modificación: Octubre 12, 2021 | [YouTube]

import matplotlib.pyplot as plt
import seaborn as sns

titanic = sns.load_dataset("titanic")

display(
    titanic.head(),
    titanic.tail(),
    titanic.size,
)

	survived	pclass	sex	age	sibsp	parch	fare	embarked	class	who	adult_male	deck	embark_town	alive	alone
0	0	3	male	22.0	1	0	7.2500	S	Third	man	True	NaN	Southampton	no	False
1	1	1	female	38.0	1	0	71.2833	C	First	woman	False	C	Cherbourg	yes	False
2	1	3	female	26.0	0	0	7.9250	S	Third	woman	False	NaN	Southampton	yes	True
3	1	1	female	35.0	1	0	53.1000	S	First	woman	False	C	Southampton	yes	False
4	0	3	male	35.0	0	0	8.0500	S	Third	man	True	NaN	Southampton	no	True

	survived	pclass	sex	age	sibsp	parch	fare	embarked	class	who	adult_male	deck	embark_town	alive	alone
886	0	2	male	27.0	0	0	13.00	S	Second	man	True	NaN	Southampton	no	True
887	1	1	female	19.0	0	0	30.00	S	First	woman	False	B	Southampton	yes	True
888	0	3	female	NaN	1	2	23.45	S	Third	woman	False	NaN	Southampton	no	False
889	1	1	male	26.0	0	0	30.00	C	First	man	True	C	Cherbourg	yes	True
890	0	3	male	32.0	0	0	7.75	Q	Third	man	True	NaN	Queenstown	no	True

13365

#
# Gráfico de barras con estimados de los
# intervalos de confianza por categoría usando
# bootstrap
#
sns.catplot(
    x="sex",
    y="survived",
    hue="class",
    kind="bar",
    data=titanic,
)

plt.show()

#
# Gráfico de barras horizontales
#
sns.catplot(
    x="survived",
    y="sex",
    hue="class",
    kind="bar",
    data=titanic,
)

plt.show()

#
# Modificación de la paleta de colores
sns.catplot(
    x="deck",
    kind="count",
    palette="ch:.25",
    data=titanic,
)

plt.show()

#
# Muchas de las opciones ya abordadas funcionan
# con estos gráficos
#
sns.catplot(
    y="deck",
    hue="class",
    kind="count",
    palette="pastel",
    edgecolor=".6",
    data=titanic,
)

plt.show()