Python Pandas - 将 PeriodIndex 对象转换为 Timestamp 并设置频率
要将PeriodIndex对象转换为Timestamp，请使用该方法。使用freq参数设置频率。PeriodIndex.to_timestamp()
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。我们使用“freq”参数设置了频率-
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)将PeriodIndex转换为时间戳。我们使用“freq”参数设置了频率-
print("\nPeriodIndex object to timestamp...\n", periodIndex.to_timestamp(freq='M'))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)
#ConvertPeriodIndextotimestamp
# We have set the frequency using the "freq" parameter
print("\nPeriodIndex object to timestamp...\n", periodIndex.to_timestamp(freq='M'))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 PeriodIndex object to timestamp... DatetimeIndex(['2021-01-31', '2019-01-31', '2020-01-31', '2022-01-31'], dtype='datetime64[ns]', freq=None)