seaborn 中的 Barplot 有几列

Barplot in seaborn with several columns

我有以下代码:

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

df = pd.read_csv("https://raw.githubusercontent.com/norhther/datasets/main/ccaa_vacunas.csv", decimal = ",", thousands = ".")

df2 = df.dropna()

df2.columns = df2.columns.str.replace(' ', '_')
df2.columns = df2.columns.str.replace("-", "_")
    
mask = (df2["CCAA"] != "España") & (df2["CCAA"] != "Fuerzas Armadas")

sns.barplot(y = "CCAA", x = "Porcentaje_de_dosis_administradas_por_100_habitantes", data = df2[mask])  

我想在一个轴上绘制变量 CCAA,在另一个轴上绘制多个条形图 CCAA: Dosis_entregadas_Pfizer, Dosis_entregadas_Moderna, Dosis_entregadas_AstraZeneca, Dosis_entregadas_Janssen。但是,我不知道如何处理这个问题。

您可以使用 melt 将所需的列转换为 "long form"。然后在新创建的列上使用 hue=

这是一个例子:

import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import numpy as np

df = pd.read_csv("https://raw.githubusercontent.com/norhther/datasets/main/ccaa_vacunas.csv",
                 decimal=",", thousands=".")

mask = (df["CCAA"] != "España") & (df["CCAA"] != "Fuerzas Armadas")
df = df[mask].dropna()
df_long = df.melt(id_vars=["CCAA"],
                  value_vars=["Dosis entregadas Pfizer", "Dosis entregadas Moderna", "Dosis entregadas AstraZeneca",
                              "Dosis entregadas Janssen"],
                  value_name="Dosis", var_name="Fabricante")

fig, ax = plt.subplots(figsize=(12, 10))
sns.barplot(y="CCAA", x="Dosis",
            estimator=np.sum, ci=None,
            hue="Fabricante", palette='Set2', data=df_long, ax=ax)
ax.ticklabel_format(axis='x', useOffset=False, style='plain')
sns.despine()
plt.tight_layout()
plt.show()

PS: df_long 看起来像:

            CCAA                Fabricante      Dosis
0      Andalucía   Dosis entregadas Pfizer  1653300.0
1         Aragón   Dosis entregadas Pfizer   332595.0
2       Asturias   Dosis entregadas Pfizer   319145.0
3       Baleares   Dosis entregadas Pfizer   184050.0
4       Canarias   Dosis entregadas Pfizer   362670.0
          ...                       ...        ...
9267      Murcia  Dosis entregadas Janssen    68300.0
9268     Navarra  Dosis entregadas Janssen    23750.0
9269  País Vasco  Dosis entregadas Janssen   101300.0
9270       Ceuta  Dosis entregadas Janssen     4150.0
9271     Melilla  Dosis entregadas Janssen     5750.0