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

更新于:14-Oct-2021

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