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法律研究Python Pandas - 表明 DateTimeIndex 中的日期是否是该季度的第一天
若要檢查 DateTimeIndex 中的日期是否為該季度的第一天，請使用 DateTimeIndex.is_quarter_start 屬性。
首先，導入所需的函式庫 −
import pandas as pd
使用週期 6 和頻率為 D 的日期和時間索引，即天 −
datetimeindex = pd.date_range('2021-10-1 02:30:50', periods=6, tz='Australia/Adelaide', freq='30D')
顯示 DateTimeIndex −
print("DateTimeIndex...\n", datetimeindex)檢查 DateTimeIndex 中的日期是否是該季度的第一天 −
print("\nCheck whether the date in DateTimeIndex is the first day of the quarter...\n",
datetimeindex.is_quarter_start)範例
以下是程式碼 −
import pandas as pd
# DatetimeIndex with period 6 and frequency as D i.e. days
# The timezone is Australia/Adelaide
datetimeindex = pd.date_range('2021-10-1 02:30:50', periods=6, tz='Australia/Adelaide', freq='30D')
# display DateTimeIndex
print("DateTimeIndex...\n", datetimeindex)
# display DateTimeIndex frequency
print("DateTimeIndex frequency...\n", datetimeindex.freq)
# Check whether the date in DateTimeIndex is the first day of the quarter
# 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("\nCheck whether the date in DateTimeIndex is the first day of the quarter...\n",
datetimeindex.is_quarter_start)輸出
這將產生以下程式碼 −
DateTimeIndex... DatetimeIndex(['2021-10-01 02:30:50+09:30', '2021-10-31 02:30:50+10:30', '2021-11-30 02:30:50+10:30', '2021-12-30 02:30:50+10:30', '2022-01-29 02:30:50+10:30', '2022-02-28 02:30:50+10:30'], dtype='datetime64[ns, Australia/Adelaide]', freq='30D') DateTimeIndex frequency... <30 * Days> Check whether the date in DateTimeIndex is the first day of the quarter... [ True False False False False False]
更新於: 18-10-2021
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