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Python Pandas - 格式化 PeriodIndex 对象的字符串表示形式

2026-06-03 1 花语

要格式化PeriodIndex对象的字符串表示形式,请使用该方法。将格式说明符设置为参数。periodIndex.strftime()

首先,导入所需的库-

import pandas as pd

创建一个PeriodIndex对象。PeriodIndex是一个不可变的ndarray,其中包含指示定期时间段的序数值-

periodIndex = pd.PeriodIndex([2021-09-25 07:30:35, 2019-10-30 04:15:45, 2020-07-15 02:55:15, 2022-06-25 09:40:55], freq="Y")

显示PeriodIndex对象-

print("PeriodIndex...\n", periodIndex)

显示格式化结果-

print("\nString representation (format with different directives)...\n", periodIndex.strftime(%b. %d, %Y was a %A))

示例

以下是代码-

import pandas as pd #CreateaPeriodIndexobject #PeriodIndexisanimmutablendarrayholdingordinalvaluesindicatingregularperiodsintime # We have set the frequency using the "freq" parameter periodIndex = pd.PeriodIndex([2021-09-25 07:30:35, 2019-10-30 04:15:45, 2020-07-15 02:55:15, 2022-06-25 09:40:55], freq="Y") #DisplayPeriodIndexobject print("PeriodIndex...\n", periodIndex) #DisplayPeriodIndexfrequency print("\nPeriodIndex frequency object...\n", periodIndex.freq) #DisplayPeriodIndexfrequency as string print("\nPeriodIndex frequency object as a string...\n", periodIndex.freqstr) #displaytheformattedresult print("\nString representation (format with different directives)...\n", periodIndex.strftime(%b. %d, %Y was a %A))输出结果

这将产生以下代码-

PeriodIndex... PeriodIndex([2021, 2019, 2020, 2022], dtype=period[A-DEC]) PeriodIndex frequency object... <YearEnd: month=12> PeriodIndex frequency object as a string... A-DEC String representation (format with different directives)... Index([Dec. 31, 2021 was a Friday, Dec. 31, 2019 was a Tuesday, Dec. 31, 2020 was a Thursday, Dec. 31, 2022 was a Saturday], dtype=object)