数据框：

 TARGET NAME_INCOME_TYPE    count   percent_rate
0   NO  Working               46924 90.408847
1   NO  Commercial associate  21492 41.408809
2   NO  Pensioner             16879 32.520905
3   NO  State servant         6593  12.702786
4   NO  Student                 9   0.017340
5   NO  Unemployed              6   0.011560
6   NO  Businessman             4   0.007707
7   NO  Maternity leave         1   0.001927
8   YES Working               4978  9.591153
9   YES Commercial associate  1726  3.325498
10  YES Pensioner              978  1.884320
11  YES State servant          407  0.784170
12  YES Unemployed              4   0.007707

我已经使用以下代码绘制了它：

def rename_target(status):
    if status == 1:
        return 'YES'
    else:
        return 'NO'

def grouper(train,var):
    qq = train.groupby('TARGET')[var].value_counts().sort_values(ascending=True).reset_index(name='count')
    totals = list()
    for c in qq[var].values:
        totals.append(np.sum(qq[qq[var] == c]['count']))

    qq['totals'] = pd.Series(totals,index=qq.index)
    qq['percent_rate'] = (qq['count']*100) / qq['totals']
    fig,ax1 = plt.subplots(figsize=(25,10))
    qq['TARGET'] = qq['TARGET'].apply(lambda status: rename_target(status))
  sns.barplot(x=var,y='percent_rate',hue='TARGET',data=qq,palette='rainbow',saturation=0.5,hue_order=['YES','NO'],ax=ax1,)
    plt.xlabel(s=var,size=20)
    plt.ylabel(s= '%',size=20)
    plt.xticks(rotation=90,size=20)
    plt.yticks(size=20)
    plt.title(var + " vs " + " % count",size=20)
    plt.legend(loc='right',prop={'size':20})
    plt.show()

    grouper(train,'NAME_INCOME_TYPE') #this calls the function and plots

图表具有按目标分组的条形，即hue ='target'。

但它们的顺序不正确，我需要按“目标”来设置reset_index，但这是绝对变量。

我如何按顺序绘制条形图？

sns.barplot(x=var,order = qq['TARGET']) # not working