[英]Convert object (time) type column in dataframe to datetime
I am struggling to convert a object type to datetime. 我正在努力将对象类型转换为日期时间。 It's a column from a dataframe which has time values in format hh:mm:ss.
它是数据框中的一列,其时间值格式为hh:mm:ss。
dataframe: df_train column: time values in format: hh:mm:ss 数据帧:df_train列:时间值,格式为:hh:mm:ss
Below are the options which I already tried without any luck 以下是我没有运气就尝试过的选项
Opt1: 选项1:
df_train['time'] = pd.to_datetime(df_train['time'])
Error:
TypeError: <class 'datetime.time'> is not convertible to datetime
Opt2: 选项2:
df_train['time'] = pd.to_datetime(df_train['time'], format='%H:%M:%S').dt.time
Outcome:
The code is working but the type remain as object.
Opt3: 选项3:
df_train['time'] = pd.to_datetime(df_train['time'].str.strip(), format='%H:%M:%S')
Outcome:
value changed to NaT
Opt4: 选项4:
df_train['time'] = pd.to_datetime(df_train['time']).dt.time
Error:
TypeError: <class 'datetime.time'> is not convertible to datetime
Appreciate your suggestions to convert this column to type datetime. 感谢您提出的将该列转换为日期时间的建议。
Just try this : 试试这个:
dat['column'] = pd.to_datetime(dat['column'])
OR pd.read_csv(file, parse_dates=['column'])
when reading data from file 从文件读取数据时
pd.read_csv(file, parse_dates=['column'])
或pd.read_csv(file, parse_dates=['column'])
我想很近,您需要的是to_timedelta
for timedeltas,并将python对象时间转换为字符串:
df_train['time'] = pd.to_timedelta(df_train['time'].astype(str))
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