Python Pandas - 从 PeriodIndex 对象获取周期中的一周
要从 PeriodIndex 对象获取周期中的周数,请使用PeriodIndex.week属性。
首先,导入所需的库 -
import pandas as pd
创建一个 PeriodIndex 对象: -
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 对象显示周 -
print("\nThe week from the PeriodIndex object...\n", periodIndex.week)
示例
以下是代码 -
import pandas as pd输出结果# 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)
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')
以上是 Python Pandas - 从 PeriodIndex 对象获取周期中的一周 的全部内容, 来源链接: utcz.com/z/349063.html