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')

更新时间: 2021 年 10 月 21 日

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