大熊猫有问题

Question

import pandas as pd 

stack = pd.DataFrame(['adam',25,28,'steve',25,28,'emily',18,21)
print(stack[0].to_list()[0::2]) 
print(stack[0].to_list()[1::2]) 
df = pd.DataFrame(
{'Name': stack[0].to_list()[0::3], 
'Age': stack[0].to_list()[1::3], 
'New Age': stack[0].to_list()[2::3] }
) 

print(df)

It how do i separate adam and steve into a different row? I want it to line up like the table below.

Table

Answer 1

You can get it as list and use slice [0::2] and [1::2]

import pandas as pd

data = pd.DataFrame(['adam',22,'steve',25,'emily',18])

print(data)
#print(data[0].to_list()[0::2])
#print(data[0].to_list()[1::2])

df = pd.DataFrame({
    'Name': data[0].to_list()[0::2],
    'Age': data[0].to_list()[1::2],
})

print(df)    

Before (like on original image which was removed from question)

       0
0   adam
1     22
2  steve
3     25
4  emily
5     18

After:

    Name  Age
0   adam   22
1  steve   25
2  emily   18

---

EDIT: image from original question

---

EDIT: BTW: the same with normal list

import pandas as pd

data = ['adam',22,'steve',25,'emily',18]

print(data)

df = pd.DataFrame({
    'Name': data[0::2],
    'Age': data[1::2],
})

print(df)    

Answer 2

These two lines should do it. However, without knowing what code you have, what you're trying to accomplish, or what else you intend to do with it, the following code is only valid in this situation.

d = {'Name': ['adam', 'steve', 'emily'], 'Age': [22, 25, 18]}
df = pd.DataFrame(d)