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法律研究Python Pandas - 将周期转换为所需频率
如要将周期转换为所需频率，请使用 Period.asfreq() 方法。我们假设使用“H”说明符将所需频率设置为每小时频率。
首先，导入所需的库 −
import pandas as pd
pandas.Period 表示一个时间周期。创建两个周期对象
period1 = pd.Period("2020-09-23 03:15:40")
period2 = pd.Period(freq="D", year = 2021, month = 4, day = 16, hour = 2, minute = 35)显示周期对象
print("Period1...\n", period1)
print("Period2...\n", period2)将周期转换为所需频率。已将频率设置为 H，即每小时频率
res1 = period1.asfreq('H')
res2 = period2.asfreq('H')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("2020-09-23 03:15:40")
period2 = pd.Period(freq="D", year = 2021, month = 4, day = 16, hour = 2, minute = 35)
# display the Period objects
print("Period1...\n", period1)
print("Period2...\n", period2)
# Convert Period to desired frequency
# We have set frequency as H i.e. Hourly frequency
res1 = period1.asfreq('H')
res2 = period2.asfreq('H')
# Return the year from the two Period objects
print("\nResult after conversion from the 1st Period object ...\n", res1)
print("\nResult after conversion from the 2nd Period object...\n", res2)输出
这将生成以下代码
Period1... 2020-09-23 03:15:40 Period2... 2021-04-16 Result after conversion from the 1st Period object ... 2020-09-23 03:00 Result after conversion from the 2nd Period object... 2021-04-16 23:00
更新于： 20-Oct-2021
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