Question

具有一个名为results的数据帧，to_csv()函数返回以下内容：

data,endAt,sn,startAt,type
{},"{'__type': 'Date', 'iso': '2019-01-07T07:16:47.085000'}",1c11020003,"{'__type': 'Date', 'iso': '2019-01-07T07:10:35.859000'}",loss
{},"{'__type': 'Date', 'iso': '2019-01-07T08:10:46.016000'}",1c11020003,"{'__type': 'Date', 'iso': '2019-01-07T08:04:34.957000'}",loss
{},"{'__type': 'Date', 'iso': '2019-01-07T08:28:16.712000'}",1c11020003,"{'__type': 'Date', 'iso': '2019-01-07T08:21:53.127000'}",loss
{},"{'__type': 'Date', 'iso': '2019-01-07T07:16:47.085000'}",1c11020003,"{'__type': 'Date', 'iso': '2019-01-07T07:10:35.859000'}",low_current
{},"{'__type': 'Date', 'iso': '2019-01-07T08:10:46.016000'}",1c11020003,"{'__type': 'Date', 'iso': '2019-01-07T08:04:34.957000'}",low_current
{},"{'__type': 'Date', 'iso': '2019-01-07T08:28:16.712000'}",1c11020003,"{'__type': 'Date', 'iso': '2019-01-07T08:21:53.127000'}",low_current

现在，如果我遍历每行并打印值

for i, r in results.iterrows():
    print("======================================")
    print(r)
    print(r['startAt'])
    print(r['endAt'])

它显示：

....(skip some lines)
======================================
data                                                      {}
endAt      {'__type': 'Date', 'iso': '2019-01-07T08:28:16...
sn                                                1c11020003
startAt    {'__type': 'Date', 'iso': '2019-01-07T08:21:53...
type                                                    loss
Name: 2, dtype: object
{'__type': 'Date', 'iso': '2019-01-07T08:21:53.127000'}
{'__type': 'Date', 'iso': '2019-01-07T08:28:16.712000'}
======================================
data                                          {}
endAt      {'iso': '2019-01-07T07:16:47.085000'}
sn                                    1c11020003
startAt    {'iso': '2019-01-07T07:10:35.859000'}
type                                 low_current
Name: 3, dtype: object
{'iso': '2019-01-07T07:10:35.859000'}
{'iso': '2019-01-07T07:16:47.085000'}

换句话说，startAt和endAt枚举有时会返回{'iso': '2019-01-07T07:16:47.085000'}而不是{'__type': 'Date', 'iso': '2019-01-07T08:21:53.127000'}。

怎么来？

Answer 1

最后解决了。事实证明，数据帧是部分错误构造的，尽管我仍然很困惑此错误的引发方式。

熊猫数据框返回错误的列值

1 个答案: