python - 如何在Python数据框中存储调查的答案

Question

我必须进行一项调查，然后将许多学生的答案保存在数据框中。我尝试将答案存储在列表中，但不起作用，因为当我尝试将答案保存在数据框中时，我得到的数据框在同一列中包含多个答案，而不是作为答案数量的许多行。 这是我的调查

sex=input('your sex: ')
sex_list.append(sex)
country=input('where do you come from?: ')
country_list.append(country)
sport=input('have you ever play sport?: ')
sport_list.append(sport)
if sport=='no':
reason_no_sport=input('why didnt you play sport?:')
reason_no_sport_list.append(reason_no_sport)
else:
reason_no_sport=np.nan
reason_no_sport_list.append(reason_no_sport)
football=input('have you ever play football?: ')
football_list.append(football)
basket=input('have you ever play basket?: ')
basket_list.append(basket)
swimming=input('have you ever play swimming?: ')
swimming_list.append(swimming)

这是列表

  sex_list=[]
  country_list=[]
  sport_list=[]
  reason_no_sport_list=[]
  football_list=[]
  basket_list=[]
  swimming_list=[]

这是数据框

 df = pd.DataFrame({"sex": [sex_list],
               "country": [country_list],
               "sport":[sport_list],
              "why didnt you play sport?": [reason_no_sport_list],
              "football":[football_list],
              "basket":[basket_list],
              "swimming":[swimming_list]})

这是结果，类似于

sex=`[male, female]`
country= `[usa, england]`

Answer 1

我为您的问题提供了一个可能的解决方案。我创建列表并在其中添加答案:

sex=[]
country=[]
sport=[]
reason_no_sport=[]
football=[]
basket=[]
swimming=[]
interview='doing'
while interview.upper()=='DOING':
    if((input('Can you answer some questions?: ')).upper()=='YES'):
        sex.append(input('your sex: '))
        country.append(input('where do you come from?: '))
        s=input('have you ever play sport?: ')
        sport.append(s)
        if s.upper() == 'NO': 
            reason_no_sport.append(input('why didnt you play sport?:'))
            football.append(np.nan)
            basket.append(np.nan)
            swimming.append(np.nan)
        else: 
            reason_no_sport.append(np.nan)
            football.append(input('have you ever play football?: '))
            basket.append(input('have you ever play basket?: '))
            swimming.append(input('have you ever play swimming?: '))
    if((input('Do you want to do another interview?: ')).upper()=='YES'):
         continue
    else:
        break
df=pd.DataFrame()
df['sex']=sex
df['country']=country
df['sport']=sport
df['reason_no_sport']=reason_no_sport
df['football']=football
df['basket']=basket
df

Output example:

Can you answer some questions?: yes
your sex: m
where do you come from?: spain
have you ever play sport?: no
why didnt you play sport?:i don't like it
Do you want to do another interview?: yes
Can you answer some questions?: no
Do you want to do another interview?: yes
Can you answer some questions?: yes
your sex: f
where do you come from?: portugal
have you ever play sport?: yes
have you ever play football?: yes
have you ever play basket?: no
have you ever play swimming?: yes
Do you want to do another interview?: no

<小时/>

    sex country  sport  reason_no_sport football    basket  swimming
0   m   spain    no     i don't like it NaN         NaN     NaN
1   f   portugal yes    NaN             yes         no      yes

您还可以创建一个列表(名称)并询问名称并将其用作DataFrame索引:

名称=[]

name.append(input('你叫什么名字:'))

df.reindex(名称)