转化dataframe中一组序列为时间序列的方法-to_datetime()的最新用法


一、to_datetime()的最新用法;

hs300_hf['date'] = pd.to_datetime(hs300_hf['date']) hs300_hf.set_index('date',inplace=True) hs300_hf.info() <class 'pandas.core.frame.DataFrame'> DatetimeIndex: 513 entries, 2019-05-23 14:55:00 to 2019-06-10 13:34:00 Data columns (total 8 columns): open 513 non-null float64 close 513 non-null float64 high 513 non-null float64 low 513 non-null float64 volume 513 non-null float64 amount 513 non-null object turnoverratio 513 non-null object code 513 non-null object dtypes: float64(5), object(3) memory usage: 36.1+ KB

 

二、datetimeindex的用法

hs300_hf.set_index('date',inplace=True) hs300_hf.index = pd.DatetimeIndex(hs300_hf.index) hs300_hf.info() <class 'pandas.core.frame.DataFrame'> DatetimeIndex: 509 entries, 2019-05-23 14:55:00 to 2019-06-10 13:14:00 Data columns (total 8 columns): open 509 non-null float64 close 509 non-null float64 high 509 non-null float64 low 509 non-null float64 volume 509 non-null float64 amount 509 non-null object turnoverratio 509 non-null object code 509 non-null object dtypes: float64(5), object(3) memory usage: 35.8+ KB


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