PythonPandas-秒の頻度でDateTimeIndexでフロア操作を実行する方法

秒の頻度でDateTimeIndexに対してフロア操作を実行するには、 DateTimeIndex.floor（）を使用します。 方法。秒の頻度については、頻度を使用します 値が「S」のパラメータ

まず、必要なライブラリをインポートします-

import pandas as pd

期間7、頻度をS、つまり秒としてDatetimeIndexを作成します-

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

DateTimeIndexを表示-

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

秒頻度のDateTimeIndex日付でのフロア操作。秒の頻度については、「S」-

print("\nPerforming floor operation with seconds frequency...\n",
datetimeindex.floor(freq='S'))

例

以下はコードです-

import pandas as pd

# DatetimeIndex with period 7 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 second
res = datetimeindex.second

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

# Floor operation on DateTimeIndex date with seconds frequency
# For seconds frequency, we have used 'S'
print("\nPerforming floor operation with seconds frequency...\n",
datetimeindex.floor(freq='S'))

出力

これにより、次のコードが生成されます-

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 seconds from DateTimeIndex...
Int64Index([32, 12, 52, 32, 12], dtype='int64')

Performing floor operation with seconds frequency...
DatetimeIndex(['2021-10-18 07:20:32+10:30', '2021-10-18 07:21:12+10:30',
'2021-10-18 07:21:52+10:30', '2021-10-18 07:22:32+10:30',
'2021-10-18 07:23:12+10:30'],
dtype='datetime64[ns, Australia/Adelaide]', freq=None)