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Legal StudiesPython Pandas - 建立 PeriodIndex 並獲取該年的第幾天
要建立一個 PeriodIndex，請使用 pandas.PeriodIndex() 方法。使用 PeriodIndex.dayofyear 屬性獲取該年的第幾天。
首先，匯入必需的庫 −
import pandas as pd
建立 PeriodIndex 物件。PeriodIndex 是一個不可變 ndarray，包含指示時間中規則週期的序數。我們已使用“freq”引數設定了頻率 −
periodIndex = pd.PeriodIndex(['2018-07-25', '2019-10-30', '2020-11-20', '2021-09-15', '2022-03-12', '2023-06-18'], freq="D")
顯示 PeriodIndex 物件 −
print("PeriodIndex...\n", periodIndex)
從 PeriodIndex 物件中顯示該年的第幾天 −
print("\nDays of the year from the PeriodIndex...\n", periodIndex.dayofyear)示例
以下為程式碼 −
import pandas as pd
# Create a PeriodIndex object
# PeriodIndex is an immutable ndarray holding ordinal values indicating regular periods in time
# We have set the frequency using the "freq" parameter
periodIndex = pd.PeriodIndex(['2018-07-25', '2019-10-30', '2020-11-20',
'2021-09-15', '2022-03-12', '2023-06-18'], freq="D")
# Display PeriodIndex object
print("PeriodIndex...\n", periodIndex)
# Display PeriodIndex frequency
print("\nPeriodIndex frequency...\n", periodIndex.freq)
# Display day from the PeriodIndex object
print("\nThe number of days from the PeriodIndex...\n", periodIndex.day)
# Display day of the year from the PeriodIndex object
print("\nDays of the year from the PeriodIndex...\n", periodIndex.dayofyear)輸出
這將生成以下程式碼 −
PeriodIndex... PeriodIndex(['2018-07-25', '2019-10-30', '2020-11-20', '2021-09-15', '2022-03-12', '2023-06-18'], dtype='period[D]') PeriodIndex frequency... <Day> The number of days from the PeriodIndex... Int64Index([25, 30, 20, 15, 12, 18], dtype='int64') Days of the year from the PeriodIndex... Int64Index([206, 303, 325, 258, 71, 169], dtype='int64')
更新於： 2021 年 10 月 20 日
130 次瀏覽
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