Python Pandas – 获取期间的年份组件

Python Pandas – 获取期间的年份组件

要获取期间的年份组件,请使用 period.month 属性。首先导入所需的库 −

import pandas as pd

Pandas.Period表示一段时间。创建两个Period对象

period1 = pd.Period("2020-09-23 05:55:30")
period2 = pd.Period(freq="M", year = 2021, month = 8, day = 16, hour = 2, minute = 35)

显示Period对象

print("Period1...\n", period1)
print("Period2...\n", period2)

从两个Period对象中获取年份组件

res1 = period1.month
res2 = period2.month

更多Pandas相关文章,请阅读:Pandas 教程

示例

以下为代码

import pandas as pd

# The pandas.Period represents a period of time
# creating two Period objects
period1 = pd.Period("2020-09-23 05:55:30")
period2 = pd.Period(freq="M", year = 2021, month = 8, day = 16, hour = 2, minute = 35)

# display the Period objects
print("Period1...\n", period1)
print("Period2...\n", period2)

# get the month of the year from two Period objects
res1 = period1.month
res2 = period2.month

# Return the Month from the two Period objects
print("\nMonth from the 1st Period object ...\n", res1)
print("\nMonth from the 2nd Period object...\n", res2)

输出

这将产生以下代码

Period1...
2020-09-23 05:55:30
Period2...
2021-08

Month from the 1st Period object ...
9

Month from the 2nd Period object...
8

Python教程

Java教程

Web教程

数据库教程

图形图像教程

大数据教程

开发工具教程

计算机教程