PythonPandas-特定の時系列頻度でDateTimeIndexから日付の4分の1を抽出します

特定の時系列頻度でDateTimeIndexから日付の四半期を抽出するには、 DateTimeIndex.quarterを使用します。 。

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6、頻度をM、つまり月としてDatetimeIndexを作成します。タイムゾーンはオーストラリア/シドニー-

datetimeindex = pd.date_range('2021-10-20 02:30:50', periods=6, tz='Australia/Sydney', freq='2M')

DateTimeIndex頻度を表示-

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

日付の四半期を取得-

print("\nGet the quarter of the date..\n",datetimeindex.quarter)

結果は、次の四半期に基づいています-

Quarter 1 = 1st January to 31st March
Quarter 2 = 1st April to 30th June
Quarter 3 = 1st July to 30th September
Quarter 4 = 1st October to 31st December

例

以下はコードです-

import pandas as pd

# DatetimeIndex with period 6 and frequency as M i.e. Month
# The timezone is Australia/Sydney
datetimeindex = pd.date_range('2021-10-20 02:30:50', periods=6, tz='Australia/Sydney', freq='2M')

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

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

# Get the quarter of the date
# Result is based on the following quarters of an year:
# Quarter 1 = 1st January to 31st March
# Quarter 2 = 1st April to 30th June
# Quarter 3 = 1st July to 30th September
# Quarter 4 = 1st October to 31st December
print("\nGet the quarter of the date..\n",datetimeindex.quarter)

出力

これにより、次のコードが生成されます-

DateTimeIndex...
DatetimeIndex(['2021-10-31 02:30:50+11:00', '2021-12-31 02:30:50+11:00',
'2022-02-28 02:30:50+11:00', '2022-04-30 02:30:50+10:00',
'2022-06-30 02:30:50+10:00', '2022-08-31 02:30:50+10:00'],
dtype='datetime64[ns, Australia/Sydney]', freq='2M')
DateTimeIndex frequency...
<2 * MonthEnds>

Get the quarter of the date..
Int64Index([4, 4, 1, 2, 2, 3], dtype='int64')