Pandas - 使用分位数获取图表上的值

Question

我有这个df_players:

 #   Column          Non-Null Count  Dtype  
---  ------          --------------  -----  
 0   TableIndex      739 non-null    object 
 1   PlayerID        739 non-null    int64  
 2   GameWeek        739 non-null    int64  
 3   Date            739 non-null    object 
 4   Points          739 non-null    int64  
 5   Price           739 non-null    float64
 6   BPS             739 non-null    int64  
 7   SelectedBy      739 non-null    int64  
 8   NetTransfersIn  739 non-null    int64  
 9   MinutesPlayed   739 non-null    float64
 10  CleanSheet      739 non-null    float64
 11  Saves           739 non-null    float64
 12  PlayersBasicID  739 non-null    int64  
 13  PlayerCode      739 non-null    object 
 14  FirstName       739 non-null    object 
 15  WebName         739 non-null    object 
 16  Team            739 non-null    object 
 17  Position        739 non-null    object 
 18  CommentName     739 non-null    object 

我使用这个函数和 quantile()(变量“cut”传递的值)来绘制玩家的分布:

def jointplot(X, Y, week=None, title=None,
              positions=None, height=6,
              xlim=None, ylim=None, cut=0.015,
              color=CB91_Blue, levels=30, bw=0.5, top_rows=100000):

    if positions == None:
        positions = ['GKP','DEF','MID','FWD']

    #Check if week is given as a list
    if week == None:
        week = list(range(max(df_players['GameWeek'])))

    if type(week)!=list:
        week = [week]

    df_played = df_players.loc[(df_players['MinutesPlayed']>=45)
                              &(df_players['GameWeek'].isin(week))
                              &(df_players['Position'].isin(positions))].head(top_rows)   

    if xlim == None:
        xlim = (df_played[X].quantile(cut),
                df_played[X].quantile(1-cut))

    if ylim == None:
        ylim = (df_played[Y].quantile(cut),
                df_played[Y].quantile(1-cut))

    sns.jointplot(X, Y, data=df_played,
                  kind="kde", xlim=xlim, ylim=ylim,
                  color=color, n_levels=levels,
                  height=height, bw=bw);

    plt.suptitle(title,fontsize=18);
    plt.show()

调用:

jointplot('Price', 'Points', positions=['FWD'],
          color=color_list[3], title='Forwards')

这个情节:

哪里:

xlim = (4.5, 11.892999999999995)
ylim = (1.0, 13.0)

就我而言，这些 x 和 y 限制允许我使用分位数 (cut),(1-cut) 的范围来放大数据点区域。

---

QUESTION

现在我想为特定区域内的玩家获取玩家“WebName”，如下所示:

绘图后我可以在上面选择一个目标区域并定义范围，大致通过 xlim 和 ylim:

jointplot('Price', 'Points', positions=['FWD'], 
          xlim=(5.5, 7.0), ylim=(11.5, 13.0),
          color=color_list[3], title='Forwards')

放大上面红色区域。

---

但是我怎样才能得到那个区域内的玩家名字呢？

Answer 1

您可以根据图中的边界选择玩家数据框的一部分:

selected = df_players[
    (df_players.Points >= points_lbound)
    & (df_players.Points <= points_ubound)
    & (df_players.Price >= price_lbound)
    & (df_players.Price <= price_ubound)
]

WebNames 列表将被selected.WebNames