Python Pandas - 从 PeriodIndex 对象获取星期
若要从 PeriodIndex 对象获取星期,请使用 PeriodIndex.weekday 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,它包含指示时间中规则周期的序数值 −
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)
从 PeriodIndex 对象显示星期。星期的用 Monday=0、Tuesday=1 ... Sunday=6 表示 −
print("\nThe day of week from the PeriodIndex object...\n", periodIndex.weekday)范例
以下为代码 −
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 week from the PeriodIndex object
print("\nThe week from the PeriodIndex object...\n", periodIndex.week)
# Display day of the week from the PeriodIndex object
# The day of the week with Monday=0, Tuesday=1 ... Sunday=6
print("\nThe day of week from the PeriodIndex object...\n", periodIndex.weekday)输出
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 week from the PeriodIndex object... Int64Index([38, 44, 28, 25], dtype='int64') The day of week from the PeriodIndex object... Int64Index([5, 2, 3, 5], dtype='int64')
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