Question

我正在努力使用pandas日期时间格式。我的数据集如下（日期作为类型对象）：

+--------+------------+----------+---------------------------+---------------------+
|        | event_id_x | payback  | event_starts_utc_datetime |      dtScraped      |
+--------+------------+----------+---------------------------+---------------------+
|  80325 | 1004179030 | 0.980840 | 2017-09-13 20:45:03.888   | 2017-09-06 17:06:32 |
| 104592 | 1004179030 | 0.980840 | 2017-09-13 20:45:03.888   | 2017-09-06 19:23:56 |
| 261304 | 1004179030 | 0.980840 | 2017-09-13 20:45:03.888   | 2017-09-07 06:21:47 |
| 657433 | 1004179030 | 0.980840 | 2017-09-13 20:45:03.888   | 2017-09-08 13:06:05 |
| 661013 | 1004179030 | 0.979975 | 2017-09-13 20:45:03.888   | 2017-09-11 09:04:15 |
+--------+------------+----------+---------------------------+---------------------+

我想将event_starts_utc_datetime和dtScraped传递给datetime，但是以下内容返回“ValueError：time data'vent_starts_utc_datetime'与指定的格式不匹配”

pinny_payback["event_starts_utc_datetime"] = pd.to_datetime(["event_starts_utc_datetime"], format='%Y-%m-%d %H:%M:%S.%f')

你能帮忙吗？

Answer 1

以下是创建虚拟df的一些代码。我将其修改为使用逗号和pd.read_clipboard。

"""
id,event_id_x,payback,event_starts_utc_datetime,dtScraped
80325,1004179030,0.980840,2017-09-13 20:45:03.888,2017-09-06 17:06:32
104592,1004179030,0.980840,2017-09-13 20:45:03.888,2017-09-06 19:23:56
261304,1004179030,0.980840,2017-09-13 20:45:03.888,2017-09-07 06:21:47
657433,1004179030,0.980840,2017-09-13 20:45:03.888,2017-09-08 13:06:05
661013,1004179030,0.979975,2017-09-13 20:45:03.888,2017-09-11 09:04:15
"""

import pandas as pd
df = pd.read_clipboard(sep = ',')

df['event_starts_utc_datetime'] = pd.to_datetime(df['event_starts_utc_datetime'], format='%Y-%m-%d %H:%M:%S.%f')

print(df.dtypes)

df

我怀疑您的错误可能未在pd.to_datetime()声明中包含数据框名称...

输出：

id                                    int64
event_id_x                            int64
payback                             float64
event_starts_utc_datetime    datetime64[ns]
dtScraped                            object
dtype: object

熊猫日期时间格式

1 个答案: