I have this 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
And I'm using this function, with quantile() (value passed by variable 'cut'), to plot the distribution of players:
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()
呼叫：
jointplot('Price', 'Points', positions=['FWD'],
color=color_list[3], title='Forwards')
该图：
哪里：
xlim = (4.5, 11.892999999999995)
ylim = (1.0, 13.0)
题
现在，我想为某个区域内的玩家获取玩家“ WebName”，如下所示：
我该怎么做呢？
