我创建了一个数据框“ df”,如下所示:
Name
0. School
1. Organisation
2. Teacher
3. Guest
现在我有三个清单
1. A = ['','','',['12','4']]
2. B = ['','','',['3','8']]
3. status = ['','','','[['yes','no','yes'],['no','yes','no']]]
4. letter = ['', '', '', [[['K', 'L'], ['L'], ['L']], [['O'], ['P', 'O'], ['K']]]]
我想将这4个列表添加到我现有的数据框df中,它应该看起来像这样
Name A1 A2 status letter
0. School
1. Organisation
2. Teacher
3. Guest 12 3 yes K
3. Guest 12 3 yes L
3. Guest 12 3 no L
3. Guest 12 3 yes L
3. Guest 4 8 no O
3. Guest 4 8 yes P
3. Guest 4 8 yes O
3. Guest 4 8 no K
我已经尝试过了df['from']=from
,df['to']=to
但这并没有像我预期的那样给我桌子。
我也尝试过这个:
dfa=pd.DataFrame({"Names":names})
def flat(nums):
res = []
index = []
for i in range(len(nums)):
if isinstance(nums[i], list):
res.extend(nums[i])
index.extend([i]*len(nums[i]))
else:
res.append(nums[i])
index.append(i)
return res,index
x="A1"
list_flat,list_index=flat(eval(x))
dataframe = pd.DataFrame({x:list_flat},index=list_index)
df = pd.concat([df['Names'],dataframe],axis=1,sort=False)
x="A2"
list_flat,list_index=flat(eval(x))
dataframe = pd.DataFrame({x:list_flat},index=list_index)
df= pd.concat([df,dataframe],axis=1,sort=False)
x="status"
list_flat,list_index=flat(eval(x))
dataframe = pd.DataFrame({x:list_flat},index=list_index)
df = pd.concat([df,dataframe],axis=1,sort=False)
x="letter"
list_flat,list_index=flat(eval(x))
dataframe = pd.DataFrame({x:list_flat},index=list_index)
df = pd.concat([df,dataframe],axis=1,sort=False)
但是嵌套列表不是出现在不同的行上,而是像这样出现在同一行上
Name A1 A2 status letter
0. School
1. Organisation
2. Teacher
3. Guest 12 3 ['yes','no','yes'] [['K','L'],['L'],['L']]
3. Guest 4 8 ['no','yes','no'] [['O'],['P','O'],['K']]
您可以尝试以下方法:
name = ['School', 'Organization', 'Teacher', 'Guest']
A = ['','','',['12','4']]
B = ['','','',['3','8']]
status = ['','','',[['yes','no','yes'],['no','yes','no']]]
letter = [['', '', '', [[['K', 'L'], ['L'], ['L']], [['O'], ['P', 'O'], ['K']]]]]
final_list = []
for a, b, c, d, e in zip(name, A, B, status, letter[0]):
if any([b, c, d, e]):
for b1, c1, d1, e1 in zip(b, c, d, e):
for d2, e2 in zip(d1, e1):
for e3 in e2:
final_list.append([a, b1, c1, d2, e3])
else:
final_list.append([a, b, c, d, e])
df = pd.DataFrame(final_list, columns=['Name', 'A1', 'A2', 'status', 'letter'])
输出:
Name A1 A2 status letter
0 School
1 Organization
2 Teacher
3 Guest 12 3 yes K
4 Guest 12 3 yes L
5 Guest 12 3 no L
6 Guest 12 3 yes L
7 Guest 4 8 no O
8 Guest 4 8 yes P
9 Guest 4 8 yes O
10 Guest 4 8 no K
本文收集自互联网,转载请注明来源。
如有侵权,请联系 [email protected] 删除。
我来说两句