Python Pandas - 如何以每小时的频率舍入 DateTimeIndex
要以每小时的频率舍入DateTimeIndex，请使用方法。对于每小时频率，使用值为“H”的freq 参数。DateTimeIndex.round()
首先，导入所需的库-
import pandas as pd
创建一个日期时间索引，周期为5，频率为T即分钟-
datetimeindex = pd.date_range('2021-09-29 07:00', periods=5, tz='Australia/Adelaide', freq='35T')显示日期时间索引-
print("DateTimeIndex...\n", datetimeindex)以每小时的频率对DateTimeIndex日期进行舍入操作。对于每小时频率，我们使用了“H”-
print("\nPerforming round operation with hourly frequency...\n",
datetimeindex.round(freq='H'))示例
以下是代码-
import pandas as pd
#DatetimeIndexwithperiod5andfrequencyasTi.e.minutes
#timezoneisAustralia/Adelaide
datetimeindex = pd.date_range('2021-09-29 07:00', periods=5, tz='Australia/Adelaide', freq='35T')
#display
print("DateTimeIndex...\n", datetimeindex)
#gettingthehour
res = datetimeindex.hour
#display only the hour
print("\nThe hour from DateTimeIndex...\n", res)
#RoundoperationonDateTimeIndexdatewithhourlyfrequency
# For hourly frequency, we have used 'H'
print("\nPerforming round operation with hourly frequency...\n",
datetimeindex.round(freq='H'))输出结果这将产生以下代码-
DateTimeIndex... DatetimeIndex(['2021-09-29 07:00:00+09:30', '2021-09-29 07:35:00+09:30', '2021-09-29 08:10:00+09:30', '2021-09-29 08:45:00+09:30', '2021-09-29 09:20:00+09:30'], dtype='datetime64[ns, Australia/Adelaide]', freq='35T') The hour from DateTimeIndex... Int64Index([7, 7, 8, 8, 9], dtype='int64') Performing round operation with hourly frequency... DatetimeIndex(['2021-09-29 07:00:00+09:30', '2021-09-29 08:00:00+09:30', '2021-09-29 08:00:00+09:30', '2021-09-29 09:00:00+09:30', '2021-09-29 09:00:00+09:30'], dtype='datetime64[ns, Australia/Adelaide]', freq=None)