Question

我的数据框中有一个日期，格式如下

"2018-05-01"
"2018-05-02"
"2018-05-03"

我想在我的JSON

中将日期转换为类似的内容

"2018-05-01T00:00:00.000Z"
"2018-05-02T00:00:00.000Z"

我曾尝试使用pd.to_datetime(df['date']) 但结果在我的JSON文件中变成1523404800000。如何在我的JSON中获得"2018-05-02T00:00:00.000Z"这样的格式？

Answer 1

您正在df.to_json()

中寻找date_format='iso'

完整示例：

import pandas as pd

csvdata = '''\
date
2018-05-01
2018-05-02
2018-05-03'''

fileobj = pd.compat.StringIO(csvdata)
df = pd.read_csv(fileobj, sep='\s+')

# without conversion
print(df.to_json()) 

# with conversion
df['date'] = pd.to_datetime(df['date'])
print(df.to_json()) 

# with conversion and adding date_format = iso
print(df.to_json(date_format='iso'))

打印：

{"date":{"0":"2018-05-01","1":"2018-05-02","2":"2018-05-03"}}
{"date":{"0":1525132800000,"1":1525219200000,"2":1525305600000}}
{"date":{"0":"2018-05-01T00:00:00.000Z","1":"2018-05-02T00:00:00.000Z","2":"2018-05-03T00:00:00.000Z"}}

python中的日期时间格式与格式不同

1 个答案: