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)