如何在同一图形中按groupby和打印组

Question

我有绘制图表的代码：

destinations = ['JPA', 'FOR']

for destiny in destinations:

    df_tmp = df[(df.DESTINY == destiny)]
    df_tmp['max'] = df_tmp.groupby('DAYS_UNTIL_DEPARTURE')['COST'].transform('max')
    df_tmp['min'] = df_tmp.groupby('DAYS_UNTIL_DEPARTURE')['COST'].transform('min')

    plt.figure(figsize=(10,2))
    sns.lineplot(x="DAYS_UNTIL_DEPARTURE", y="min", data=df_tmp, ci=None, palette="muted", label='min')
    sns.lineplot(x="DAYS_UNTIL_DEPARTURE", y="max", data=df_tmp, ci=None, palette="muted", label='max')
    plt.title(destiny , fontweight="bold", fontsize=16, pad=20)
    plt.ylabel('Cost')
    plt.show()
    

代码运行得很好

我想知道如何在同一个图形上绘制多个图表？换句话说，在一个图中有两个图表

我一直在尝试子绘图，但未能获得预期的结果

谢谢，谢谢

以下是我的数据示例：

DAYS_UNTIL_DEPARTURE,DESTINY,COST
10,JPA,100
9,JPA,90
8,JPA,85
7,JPA,86
6,JPA,87
5,JPA,71
4,JPA,90
3,JPA,77
2,JPA,88
1,JPA,87
0,JPA,74
10,FOR,99
9,FOR,90
8,FOR,96
7,FOR,79
6,FOR,84
5,FOR,74
4,FOR,85
3,FOR,74
2,FOR,88
1,FOR,100
0,FOR,87

Answer 1

使用sns.lineplot的参数ax

fig, ax = plt.subplots(1,2)
destinations = ['JPA', 'FOR']

for i, destiny in enumerate(destinations):
    df_tmp = df[(df.DESTINY == destiny)]
    df_tmp['max'] = df_tmp.groupby('DAYS_UNTIL_DEPARTURE')['COST'].transform('max')
    df_tmp['min'] = df_tmp.groupby('DAYS_UNTIL_DEPARTURE')['COST'].transform('min')

    sns.lineplot(x="DAYS_UNTIL_DEPARTURE", y="min", data=df_tmp, ci=None, palette="muted", label='min', ax=ax[i])
    sns.lineplot(x="DAYS_UNTIL_DEPARTURE", y="max", data=df_tmp, ci=None, palette="muted", label='max', ax=ax[i])
    ax[i].set_title(destiny , fontweight="bold", fontsize=16, pad=20)
    plt.ylabel('Cost')