如何使用Python将列表的值附加到DataFrame列的值？

Question

I have this DataFrame:

df=pd.DataFrame.from_items([('id', [14, 49, 21]), 
                     ('parameter', [12, 23, 11])])

And I have this list:

[8, 1, 3]
<class 'list'>

I want to append the list values to each value of the column id of the dataframe df, I want something like this:

   id       parameter
0  148         12
1  491         23
2  213         11

How can I do it?

Answer 1

You can try like so:

import pandas as pd

df = pd.DataFrame.from_items([('id', [14, 49, 21]), ('parameter', [12, 23, 11])])
l = iter([8, 1, 3])

df.id = df.id.apply(lambda x: str(x)+str(next(l))).astype(int)
print df

Output:

    id  parameter
0  148         12
1  491         23
2  213         11

Answer 2

Using zip works:

import pandas as pd
df = pd.DataFrame.from_items([('id', [14, 49, 21]), ('parameter', [12, 23, 11])])
l = [8, 1, 3]
df['id'] = [int(''.join([str(j) for j in i])) for i in zip(df['id'], l)]

and the resulting df is:

>>> df
    id  parameter
0  148         12
1  491         23
2  213         11

Answer 3

import pandas as pd

df = pd.DataFrame.from_items([('id', [14, 49, 21]), ('parameter', [12, 23, 11])])

lista = [8,1,3]

for i in range(len(lista)):
    df['id'][i] = int(str(df['id'][i]) + str(lista[i]))

print df

   id  parameter
0  148         12
1  491         23
2  213         11