Python 循环表的重新格式化

我有一个看起来像这样的数据帧：

ID   Covid_pos  Asymptomatic  Fever  Cough ...
0          1             0      1      0
1          0             0      0      1
2          1             1      0      1
3          1             0      1      0
4          0             1      1      0
5          1             0      1      0
6          0             1      1      0
7          1             0      0      1
8          0             0      0      0
9          0             0      0      0

我编写了一个for循环，它为每个症状变量和结果变量“COVID_POS”生成以下输出

exposure=['Cough',"Nasal_Congestion","Wheezing_Asthma","Abdominal_Pain","Diarrhea","Vomiting","Rash","Fever","MED_ALERT_CPR_SHOCK_SEPSIS","Lymph_Node_Neck","Ear","Mouth Sores","Eye","SOB_WOB_Hyp_Desat","PNA","Nausea","Weak_Fatigue","Bodyaches","Dizziness","Fussy","Poor_PO_Dehydration","Tachycardia","COVID Exposure","COVID Test","COVID PUI" ,"COVID MIS","COVID Kawasaki","CP","ST","HA","Loss_Taste_Smell"]

for symptom in exposure:
    CTab=pd.crosstab(LABS_TAT[symptom],LABS_TAT.Covid_pos)
    Odds = sm.stats.Table2x2(CTab)
    print(Odds.summary())

OUTPUT: 

问题陈述：输出是正确的，但我想重新格式化它，使其看起来像下表：

Symptom            Odds Ratio   LCB   UCB 
Cough              2.607       1.981 3.430
Nasal_Congestion   1.899       1.226 2.941  
Wheezing_Asthma    0.739       0.373 1.46
...

从中可以看出，摘要的第一行是由

oddsratio\u confint

、

oddsratio\u pvalue

方法和

oddsratio

属性构成的。构造一个字典以转换为数据帧

d = {'Symptom':[],'Odds Ratio':[],'LCB':[],'UCB':[]}
for symptom in exposure:
    CTab=pd.crosstab(LABS_TAT[symptom],LABS_TAT.Covid_pos)
    Odds = sm.stats.Table2x2(CTab)
    d['Symptom'].append(symptom)
    d['Odds Ratio'].append(Odds.oddsratio)
    lcb,ucb = Odds.oddsratio_confint()
    d['LCB'].append(lcb)
    d['UCB'].append(ucb)

results = pd.DataFrame(d)

---

谢谢-只是一个小的代码调整：“'UCB'：[]}”“@Raven我不禁想有一个更好的方法可以在没有for循环的情况下获得交叉表统计数据，但我真的对statsmodel一无所知。