Python Pandas - 如何按小時頻率舍入 DateTimeIndex
如需以小時頻率舍入 DateTimeIndex,請使用 DateTimeIndex.round() 方法。對於小時頻率,使用值為“H”的 freq 引數。
首先,匯入所需的庫 −
import pandas as pd
建立一個以 5 為週期且頻率為 T(即分鐘)的 DatetimeIndex −
datetimeindex = pd.date_range('2021-09-29 07:00', periods=5, tz='Australia/Adelaide', freq='35T')
顯示 DateTimeIndex −
print("DateTimeIndex...\n", datetimeindex)使用小時頻率對 DateTimeIndex 日期執行舍入運算。對於每小時頻率,我們使用了“H”−
print("\nPerforming round operation with hourly frequency...\n",
datetimeindex.round(freq='H'))示例
以下為程式碼 −
import pandas as pd
# DatetimeIndex with period 5 and frequency as T i.e. minutes
# timezone is Australia/Adelaide
datetimeindex = pd.date_range('2021-09-29 07:00', periods=5, tz='Australia/Adelaide', freq='35T')
# display
print("DateTimeIndex...\n", datetimeindex)
# getting the hour
res = datetimeindex.hour
# display only the hour
print("\nThe hour from DateTimeIndex...\n", res)
# Round operation on DateTimeIndex date with hourly frequency
# For hourly frequency, we have used 'H'
print("\nPerforming round operation with hourly frequency...\n",
datetimeindex.round(freq='H'))輸出
這會生成以下程式碼 −
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)
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