Question

所以，我正在用pandas读取xlsx文件，然后解析日期时间（excel＆＃39; s float）

然后我需要将它解析为Json，并且我遇到了一些问题。

第1步（在使用to_json（）解析之前）

df = pandas.read_excel('test.xlsx', names=['date', 'value', 'source'])
df['date'] = pandas.to_datetime(df['date'], format='%b %d %Y.%f')
print(df)

回报是

        date  value                            source
0 2012-05-22      1              xxxxxxxxxxxxxxxxxxxx
1 2012-05-25      1                     xxxxxxxxxxxxx
2 2012-05-30      1  xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
3 2012-06-01      1                        xxxxxxxxxx
4 2012-06-08      1                 xxxxxxxxxxxxxxxxx

一切似乎都很好，然后我得到了o to_json

payload = df.to_json()

回报是

{"date":{"0":1337644800000,"1":1337904000000,"2":1338336000000,"3":1338508800000,"4":1339113600000},"value":{"0":1,"1":1,"2":1,"3":1,"4":1},"source":{"0":"xxxxxxxxxxxxxxx","1":"xxxxxxxxxx","2":"xxxxxxxxxxx","3":"xxxxxxxxxxxxxxxx","4":"xxxxxxxxxxxxxxx"}}

那么我做错了什么？我在to_json（）上错过了args吗？ Halp请：c

我需要它像这样：

[{"date":"2012-05-22","value":1,"source":"xxxxxxxxxxxxxxxxxxxx"},
{"date":"2012-05-25","value":1,"source":"xxxxxxxxxxxxxxxxxxxx"},
{"date":"2012-05-30","value":1,"source":"xxxxxxxxxxxxxxxxxxxxx"},
{"date":"2012-06-01","value":1,"source":"xxxxxxxxxxxxxxxxxxxx"},
{"date":"2012-06-08","value":1,"source":"xxxxxxxxxxxxxxxxxxxxxx"}]

Answer 1

您需要一些修复 -

将您的日期列转换为字符串，因为当前正在将您的日期时间列强制转换为Unix整数时间戳。或者，将date_format参数与to_json一起使用，如另一个答案所示。
保存到json时更改方向;指定orient='records'。

df['date'] = pandas.to_datetime(df['date'], format='%b %d %Y.%f').astype(str)
payload = df.to_json(orient='records')

print(payload)
'[{"date":"2012-05-22","source":"xxxxxxxxxxxxxxxxxxxx","value":1},{"date":"2012-05-25","source":"xxxxxxxxxxxxxxxxxxxx","value":1},{"date":"2012-05-30","source":"xxxxxxxxxxxxxxxxxxxxx","value":1},{"date":"2012-06-01","source":"xxxxxxxxxxxxxxxxxxxx","value":1},{"date":"2012-06-08","source":"xxxxxxxxxxxxxxxxxxxxxx","value":1}]'

Answer 2

虽然如果转换为字符串（如其他问题和评论中所述），您可以获得所需的格式，您可能不需要。查看 to_json() parameter date_format 。我相信你想要.to_json(..., date_format='iso')。

根据date_format参数的文档：

对于orient ='table'，默认为'iso'。对于所有其他方位，默认为'epoch'。

使用to_json（）的pandas DataFrame到dicts列表

2 个答案: