Python Pandas - 将给定的时间戳转换为每周频率的周期
要将给定的Timestamp转换为Period，请使用该方法。在其中，使用freq参数设置频率。对于每周频率，将freq设置为W。timestamp.to_period()
首先，导入所需的库-
import pandas as pd
在Pandas中创建时间戳对象
timestamp = pd.Timestamp(2021, 9, 18, 11, 50, 20, 33)
将时间戳转换为周期。我们使用值为“W”的“freq”参数将频率设置为每周
timestamp.to_period(freq='W')
示例
以下是代码
import pandas as pd
#setthetimestampobjectinPandas
timestamp = pd.Timestamp(2021, 9, 18, 11, 50, 20, 33)
#displaytheTimestamp
print("Timestamp...\n", timestamp)
#converttimestamptoPeriod
# we have set the frequency as weekly using the "freq" parameter with value 'W'
print("\nTimestamp to Period with weekly frequency...\n", timestamp.to_period(freq='W'))输出结果这将产生以下代码
Timestamp... 2021-09-18 11:50:20.000033 Timestamp to Period with weekly frequency... 2021-09-13/2021-09-19
热门推荐
10 祝孙辈生日祝福语简短
11 恋人跨年祝福语大全简短
12 考大学敬酒简短祝福语
13 开工投产大吉祝福语 简短
14 偶然结婚祝福语朋友简短
15 感谢学长学姐祝福语简短
16 戏精的祝福语简短
17 我要结婚祝福语简短
18 婚前女儿生日祝福语简短