如何使用 Pandas 向 Dataframe 的每一行添加值？

Question

How do I add data to each row of my dataframe.

from collections import namedtuple
import pandas as pd

People = namedtuple('People',['id','name'])

dictionary = {1: People(1,'Rodger'), 2: People(2,'Betty'), 3: People(1,'Susie')}

keys = list(map(int, dictionary.keys())) # [1, 2, 3]

for k in dictionary:
    df = pd.DataFrame({'id': keys, 'name': dictionary[k].name})

print(df)

It doesn't add each name to a row that corresponds to its id. It fills every row of the name column with the value 'Rodger'. Why is this?

[current output]

id:     name:
1       Susie
2       Susie
3       Susie

[desired output]

id:     name:
1       Rodger
2       Betty
3       Susie

Answer 1

The problem happens because you are overriding the dataframe at every iteration:

for k in dictionary:
    df = pd.DataFrame({'id': keys, 'name': dictionary[k].name}) # override using all keys but next name in sequence 

A solution:

df = pd.DataFrame({'id': keys, 'name': [item.name for item in dictionary.values()]})