要从 PeriodIndex 对象获取时段的分钟数,请使用PeriodIndex.minute属性。
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', '2021-07-15 02:55:15', '2022-06-25 09:40:55'], freq="T")
显示 PeriodIndex 对象 -
print("PeriodIndex...\n", periodIndex)
显示来自 PeriodIndex 对象的分钟 -
print("\nThe minute from the PeriodIndex object...\n", periodIndex.minute)
以下是代码 -
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(['2021-09-25 07:30:35', '2019-10-30 04:15:45', '2021-07-15 02:55:15', '2022-06-25 09:40:55'], freq="T") # Display PeriodIndex object print("PeriodIndex...\n", periodIndex) # Display PeriodIndex frequency print("\nPeriodIndex frequency object...\n", periodIndex.freq) # Display PeriodIndex frequency as string print("\nPeriodIndex frequency object as a string...\n", periodIndex.freqstr) # Display minute from the PeriodIndex object print("\nThe minute from the PeriodIndex object...\n", periodIndex.minute)输出结果
这将产生以下代码 -
PeriodIndex... PeriodIndex(['2021-09-25 07:30', '2019-10-30 04:15', '2021-07-15 02:55', '2022-06-25 09:40'], dtype='period[T]') PeriodIndex frequency object... <Minute> PeriodIndex frequency object as a string... T The minute from the PeriodIndex object... Int64Index([30, 15, 55, 40], dtype='int64')