Pandas - 使用分位数获取图形上的数值。

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 

我正在使用这个功能，与 quantile() (变量'cut'传递的值)，绘制玩家的分布图。

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')

this plots:

其中：

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

在我看来，这些x和y的限制允许我，使用分位值的范围... ... (cut),(1-cut)缩放数据点的区域。

---

问题

现在，我想获得一定区域内玩家的 "WebName"，就像这样。

我可以在上面选择一个目标区域，然后定义范围，大致上，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')

这样就可以把上面红色的区域放大了

---

但是我怎么才能得到该区域内的玩家名字呢？

Answer 1

你可以根据图中的边界选择球员数据框的部分。

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

WebNames的列表将是 selected.WebNames