将对象属性绑定到Pandas DataFrame

Question

本周在一次对话中，我被告知Pandas DataFrames可用于绑定对象属性，但在一个简单的例子中我无法实现：

from pandas import DataFrame

class MyObj:

    def __init__(self, x, y):

        self.x = x
        self.y = y


# create a list of objects
objects = list()
for i in range(1, 5):
    objects.append(MyObj(i, i**2))


# create the DataFrame and print it
data = list()
for obj in objects:
    data.append([obj.x, obj.y])

df = DataFrame(data=data, columns=['x', 'y'])
print('\nDataFrame content (prev)')
print(df)

# now change the df, and check the objects
df.values[3, 1] = 66
print('\nDataFrame content (post)')
print(df)


print('\nobjects content (post)')
for obj in objects:
    print([obj.x, obj.y])

控制台打印输出为：

DataFrame content (prev)
   x   y
0  1   1
1  2   4
2  3   9
3  4  16

DataFrame content (post)
   x   y
0  1   1
1  2   4
2  3   9
3  4  66

objects content (post)
[1, 1]
[2, 4]
[3, 9]
[4, 16]

对象内容未被绑定。

是否可以将对象属性绑定到DataFrame？