需要将整个列从字符串格式转换为数据帧中的日期格式

Question

I am trying to convert an entire column from a Dataframe from a string to date format. Does anyone have any recommendations on how to do this?

I've successfully been able to change one element of this using strptime, but not sure the best way to apply this to the entire column:

Sample of the raw Data:

2016/06/28 02:13:51

In:

Var1 = Dataframename['columnname'][0]
temp = datetime.datetime.strptime(Var1, '%Y/%m/%d  %H:%M:%S')
temp

Out:

datetime.datetime(2016, 6, 28, 2, 13, 51)

Answer 1

I think you are looking for this

import datetime
data['colname']=data['colname'].apply(lambda x:datetime.datetime.strptime(x,"%Y-%m-%d %H:%M:%S"))

Answer 2

You can use to_datetime :

df = pd.DataFrame({'b':['2016/06/28 02:13:51','2016/06/28 02:13:51','2016/06/28 02:13:51'],
                   'a':[4,5,6]})

print (df)
   a                    b
0  4  2016/06/28 02:13:51
1  5  2016/06/28 02:13:51
2  6  2016/06/28 02:13:51

df['b'] = pd.to_datetime(df.b)
print (df)
   a                   b
0  4 2016-06-28 02:13:51
1  5 2016-06-28 02:13:51
2  6 2016-06-28 02:13:51
print (df.dtypes)
a             int64
b    datetime64[ns]
dtype: object