Python Pandas - 将 Period 对象作为具有每月频率的时间戳返回
要将Period对象作为具有每月频率的时间戳返回，请使用该方法并将freq参数设置为“M”。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“M”，即每月
print("\nPeriod to Timestamp with monthly (month-end) frequency...\n",
period.to_timestamp(freq='M'))示例
以下是代码
import pandas as pd
#Thepandas.Periodrepresentsaperiodoftime
#CreatingaPeriodobject
period = pd.Period(freq="S", year = 2021, month = 9, day = 18, hour = 17, minute = 20, second = 45)
#displaythePeriodobject
print("Period...\n", period)
#ReturntheTimestamprepresentationofthePeriodobject
# We have set the frequency using the "freq" parameter
# The frequency is set as 'M' i.e. monthly
print("\nPeriod to Timestamp with monthly (month-end) frequency...\n", period.to_timestamp(freq='M'))输出结果这将产生以下代码
Period... 2021-09-18 17:20:45 Period to Timestamp with monthly (month-end) frequency... 2021-09-30 00:00:00
热门推荐
10 简短温馨的客户祝福语
11 新婚祝福语诗意简短高级
12 婚礼时祝福语简短霸气
13 虎年祝福语简短10字
14 特别简短的祝福语老师
15 顾客新年祝福语简短创意
16 新房祝福语简短10字
17 卡片老师祝福语简短样式
18 群里的祝福语简短