Python Pandas - 从周期对象中获取年份的季度
要获取周期的时间组件,请使用 period.quarter 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("2020-02-27 08:32:48") 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 对象中获取年份季度
res1 = period1.quarter res2 = period2.quarter
结果基于一年的以下季度
Quarter 1 = 1st January to 31st March Quarter 2 = 1st April to 30th June Quarter 3 = 1st July to 30th September Quarter 4 = 1st October to 31st December
示例
以下是代码
import pandas as pd # The pandas.Period represents a period of time # creating two Period objects period1 = pd.Period("2020-02-27 08:32:48") 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 quarter of the year from two Period objects res1 = period1.quarter res2 = period2.quarter # Return the quarter from the two Period objects # Result is based on the following quarters of an year: # Quarter 1 = 1st January to 31st March # Quarter 2 = 1st April to 30th June # Quarter 3 = 1st July to 30th September # Quarter 4 = 1st October to 31st December print("\nQuarter from the 1st Period object ...\n", res1) print("\nQuarter from the 2nd Period object...\n", res2)
输出
将生成以下代码
Period1... 2020-02-27 08:32:48 Period2... 2021-08 Quarter from the 1st Period object ... 1 Quarter from the 2nd Period object... 3
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