Python Pandas - 将 Period 对象作为具有年频率的时间戳返回
要将Period对象作为具有年频率的时间戳返回,请使用该方法并将freq参数设置为“Y”。period.to_timestamp()
首先,导入所需的库-
import pandas as pd
的pandas.Period代表的一段时间。创建Period对象
period = pd.Period(freq="S", year = 2021, month = 9, day = 18, hour = 17, minute = 20, second = 45)
显示Period对象
print("Period...\n", period)返回Period对象的时间戳表示。我们已经使用“freq”参数设置了频率。频率设置为“Y”,即每年
print("\nPeriod to Timestamp with yearly (year-end) frequency...\n", period.to_timestamp(freq='Y'))示例
以下是代码
import pandas as pd
#Thepandas.Period代表一段时间
#创建Period对象
period = pd.Period(freq="S", year = 2021, month = 9, day = 18, hour = 17, minute = 20, second = 45)
#显示Period对象
print("Period...\n", period)
#返回Period对象的时间戳表示
# We have set the frequency using the "freq" parameter
# The frequency is set as 'Y' i.e. yearly
print("\nPeriod to Timestamp with yearly (year-end) frequency...\n", period.to_timestamp(freq='Y'))输出结果这将产生以下代码
Period... 2021-09-18 17:20:45 Period to Timestamp with yearly (year-end) frequency... 2021-12-31 00:00:00
热门推荐
10 圣诞祝福语简短小学
11 祖国七十华诞简短祝福语
12 老师送的祝福语简短
13 生日祝福语大全女生简短
14 祝女性生日祝福语简短
15 牛年女神节祝福语简短
16 情人表白祝福语简短大气
17 老公开业祝福语简短
18 官宣新年祝福语简短