seaborn中的条形图有几列答案

【问题标题】：Barplot in seaborn with several columnsseaborn中的条形图有几列
【发布时间】：2022-01-12 00:09:26
【问题描述】：

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，在另一个轴上绘制几个条形图 CCAA：Dosis_entregadas_Pfizer，Dosis_entregadas_Moderna，Dosis_entregadas_AstraZeneca，Dosis_entregadas_Janssen。但是，我不知道如何处理。

【问题讨论】：

标签： python matplotlib seaborn

【解决方案1】：

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

【讨论】：