Python Pandas - 从具有特定时间序列频率的 DateTimeIndex 中提取月份数

2026-06-03 1 花语

要从具有特定时间序列频率的DateTimeIndex中提取月数，请使用DateTimeIndex.month属性。

首先，导入所需的库-

import pandas as pd

DatetimeIndex，周期为6，频率为M，即月份。时区是澳大利亚/悉尼-

datetimeindex = pd.date_range(2021-09-24 02:35:55, periods=6, tz=Australia/Sydney,freq=M)

显示日期时间索引-

print("DateTimeIndex...\n", datetimeindex)

获取月份数，即一月=1，二月=2，...，十二月=12-

print("\nGetting the month number..\n",datetimeindex.month)

示例

以下是代码-

import pandas as pd #DatetimeIndexwithperiod6andfrequencyasMi.e.month #timezoneisAustralia/Sydney datetimeindex = pd.date_range(2021-09-24 02:35:55, periods=6, tz=Australia/Sydney,freq=M) #displayDateTimeIndex print("DateTimeIndex...\n", datetimeindex) #displayDateTimeIndex frequency print("DateTimeIndex frequency...\n", datetimeindex.freq) #getthemonthnumberi.e.January=1,february=2,...,December=12 print("\nGetting the month number..\n",datetimeindex.month)输出结果

这将产生以下输出-

DateTimeIndex... DatetimeIndex([2021-09-30 02:35:55+10:00, 2021-10-31 02:35:55+11:00, 2021-11-30 02:35:55+11:00, 2021-12-31 02:35:55+11:00, 2022-01-31 02:35:55+11:00, 2022-02-28 02:35:55+11:00], dtype=datetime64[ns, Australia/Sydney], freq=M) DateTimeIndex frequency... <MonthEnd> Getting the month number.. Int64Index([9, 10, 11, 12, 1, 2], dtype=int64)