Python Pandas - 表明 DateTimeIndex 中的日期是否属于闰年
要检查 DateTimeIndex 中的日期是否属于闰年,请使用 DateTimeIndex.is_leap_year 属性
首先,导入所需的库 -
import pandas as pd
使用周期 6 和频率作为 Y(即年)创建 DatetimeIndex -
datetimeindex = pd.date_range('2021-12-30 02:30:50', periods=6, tz='Australia/Adelaide', freq='3Y')
显示 DateTimeIndex -
print("DateTimeIndex...\n", datetimeindex)检查 DateTimeIndex 中的日期是否属于闰年 -
print("\nCheck whether the date in DateTimeIndex belongs to a leap year or not...\n",
datetimeindex.is_leap_year)实例
以下为代码 -
import pandas as pd
# DatetimeIndex with period 6 and frequency as Y i.e. years
# The timezone is Australia/Adelaide
datetimeindex = pd.date_range('2021-12-30 02:30:50', periods=6, tz='Australia/Adelaide', freq='3Y')
# display DateTimeIndex
print("DateTimeIndex...\n", datetimeindex)
# display DateTimeIndex frequency
print("\nDateTimeIndex frequency...\n", datetimeindex.freq)
# Check whether the date in DateTimeIndex is a leap year or not
print("\nCheck whether the date in DateTimeIndex belongs to a leap year or not...\n",
datetimeindex.is_leap_year)输出
这将生成以下代码 -
DateTimeIndex... DatetimeIndex(['2021-12-31 02:30:50+10:30', '2024-12-31 02:30:50+10:30', '2027-12-31 02:30:50+10:30', '2030-12-31 02:30:50+10:30', '2033-12-31 02:30:50+10:30', '2036-12-31 02:30:50+10:30'], dtype='datetime64[ns, Australia/Adelaide]', freq='3A-DEC') DateTimeIndex frequency... <3 * YearEnds: month=12> Check whether the date in DateTimeIndex belongs to a leap year or not... [False True False False False True]
广告
数据结构
网络
RDBMS
操作系统
Java
iOS
HTML
CSS
Android
Python
C 编程
C++
C#
MongoDB
MySQL
Javascript
PHP