Python Pandas - 如何对具有分钟频率的 DateTimeIndex 执行向上取整运算


要对具有分钟频率的 DateTimeIndex 执行向上取整运算,请使用 **DateTimeIndex.ceil()** 方法。对于分钟频率,请使用值为 **‘T’** 的 **freq** 参数。

首先,导入所需的库:

import pandas as pd

创建一个周期为 5 且频率为秒 (s) 的 DatetimeIndex:

datetimeindex = pd.date_range('2021-10-18 07:20:32.261811624', periods=5,
tz='Australia/Adelaide', freq='40S')

显示 DateTimeIndex:

print("DateTimeIndex...\n", datetimeindex)

对 DateTimeIndex 日期执行以分钟为频率的向上取整运算。对于分钟频率,我们使用了 'T':

print("\nPerforming ceil operation with minute frequency...\n",
datetimeindex.ceil(freq='T'))

示例

以下是代码:

import pandas as pd

# DatetimeIndex with period 5 and frequency as s i.e. seconds
# timezone is Australia/Adelaide
datetimeindex = pd.date_range('2021-10-18 07:20:32.261811624', periods=5,
tz='Australia/Adelaide', freq='40S')

# display DateTimeIndex
print("DateTimeIndex...\n", datetimeindex)

# display DateTimeIndex frequency
print("DateTimeIndex frequency...\n", datetimeindex.freq)

# getting the minute
res = datetimeindex.minute

# display only the minute
print("\nThe minute from DateTimeIndex...\n", res)

# ceil operation on DateTimeIndex date with minute frequency
# For minute frequency, we have used 'T'
print("\nPerforming ceil operation with minute frequency...\n",
datetimeindex.ceil(freq='T'))

输出

这将产生以下代码:

DateTimeIndex...
DatetimeIndex(['2021-10-18 07:20:32.261811624+10:30',
'2021-10-18 07:21:12.261811624+10:30',
'2021-10-18 07:21:52.261811624+10:30',
'2021-10-18 07:22:32.261811624+10:30',
'2021-10-18 07:23:12.261811624+10:30'],
dtype='datetime64[ns, Australia/Adelaide]', freq='40S')
DateTimeIndex frequency...
<40 * Seconds>

The minute from DateTimeIndex...
Int64Index([20, 21, 21, 22, 23], dtype='int64')
Performing ceil operation with minute frequency...
DatetimeIndex(['2021-10-18 07:21:00+10:30', '2021-10-18 07:22:00+10:30',
'2021-10-18 07:22:00+10:30', '2021-10-18 07:23:00+10:30',
'2021-10-18 07:24:00+10:30'],
dtype='datetime64[ns, Australia/Adelaide]', freq=None)

更新于:2021年10月19日

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