Python Pandas - 如何以分钟频率舍入 DateTimeIndex
要以分钟频率舍入DateTimeIndex,请使用该方法。对于分钟频率,使用值为'T'的freq 参数。DateTimeIndex.round()
首先,导入所需的库-
import pandas as pd
DatetimeIndex,周期为5,频率为秒。时区是澳大利亚/阿德莱德-
datetimeindex = pd.date_range('2021-09-29 07:00', periods=5, tz='Australia/Adelaide', freq='45s')
显示日期时间索引-
print("DateTimeIndex...\n", datetimeindex)
以分钟频率对DateTimeIndex日期进行舍入操作。对于分钟频率,我们使用了'T-
print("\nPerforming round operation with minute frequency...\n", datetimeindex.round(freq='T'))
示例
以下是代码-
import pandas as pd #DatetimeIndexwithperiod5andfrequencyassi.e.seconds #timezoneisAustralia/Adelaide datetimeindex = pd.date_range('2021-09-29 07:00', periods=5, tz='Australia/Adelaide', freq='45s') #displayDateTimeIndex print("DateTimeIndex...\n", datetimeindex) #displayDateTimeIndex frequency print("DateTimeIndex frequency...\n", datetimeindex.freq) #gettingtheminute res = datetimeindex.minute #displayonlytheminute print("\nThe minute from DateTimeIndex...\n", res) #RoundoperationonDateTimeIndexdatewithminutefrequency # For minute frequency, we have used 'T' print("\nPerforming round operation with minute frequency...\n", datetimeindex.round(freq='T'))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 07:00:45+09:30', '2021-09-29 07:01:30+09:30', '2021-09-29 07:02:15+09:30', '2021-09-29 07:03:00+09:30'], dtype='datetime64[ns, Australia/Adelaide]', freq='45S') DateTimeIndex frequency... <45 * Seconds> The minute from DateTimeIndex... Int64Index([0, 0, 1, 2, 3], dtype='int64') Performing round operation with minute frequency... DatetimeIndex(['2021-09-29 07:00:00+09:30', '2021-09-29 07:01:00+09:30', '2021-09-29 07:02:00+09:30', '2021-09-29 07:02:00+09:30', '2021-09-29 07:03:00+09:30'], dtype='datetime64[ns, Australia/Adelaide]', freq=None)