在python中将对象转换为日期时间格式
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Converting object to datetime format in python
提问by Sdotsey
Below is the first row of my csv DateTime column:
下面是我的 csv DateTime 列的第一行：
Mon Nov 02 20:37:10 GMT+00:00 2015
2015 年 11 月 2 日星期一 20:37:10 GMT+00:00
The DateTime column is currently an object and I want to convert it to datetime format so that I can get the date to appear as 2015-11-02 and I will create a separate column for the time.
DateTime 列当前是一个对象，我想将其转换为日期时间格式，以便日期显示为 2015-11-02，我将为该时间创建一个单独的列。
The code I am using to convert the column to date time format is:
我用来将列转换为日期时间格式的代码是：
for item, frame in df['DateTime'].iteritems():
datetime.datetime.strptime(df['DateTime'], "%a-%b-%d-%H-%M-%S-%Z-%Y")
I am getting this error: TypeError: must be str, not Series
我收到此错误：TypeError: must be str, not Series
Any help would be greatly appreciated!
任何帮助将不胜感激！
回答by Alberto Garcia-Raboso
Use pd.to_datetime():
使用pd.to_datetime()：
df['DateTime'] = pd.to_datetime(df['DateTime'])
For example,
例如，
pd.to_datetime('Mon Nov 02 20:37:10 GMT+00:00 2015')
produces Timestamp('2015-11-02 20:37:10').
产生Timestamp('2015-11-02 20:37:10').
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