Python Pandas – 返回时间段对象，以分钟为频率的时间戳

为了将时间段对象作为具有月度频率的时间戳返回，请使用 period.to_timestamp() 方法并将freq参数设置为“ T ”。

首先，导入所需的库−

import pandas as pd

pandas.Period表示一段时间。创建Period对象

period = pd.Period(freq="S", year = 2021, month = 11, day = 26, hour = 11, minute = 45, second = 55)

显示Period对象

print("Period...\n", period)

返回Period对象的Timestamp表示。我们使用“ freq”参数设置频率。将频率设置为’minutely’即’T’

print("\nPeriod to Timestamp with minutely frequency...\n", period.to_timestamp(freq='T'))

示例

以下是代码

import pandas as pd

# The pandas.Period represents a period of time
# Creating a Period object
period = pd.Period(freq="S", year = 2021, month = 11, day = 26, hour = 11, minute = 45, second = 55)

# display the Period object
print("Period...\n", period)

# Return the Timestamp representation of the Period object
# We have set the frequency using the "freq" parameter
# The frequency is set as 'T' i.e. monthly
print("\nPeriod to Timestamp with minutely frequency...\n", period.to_timestamp(freq='T'))

输出

这将产生以下代码

Period...
2021-11-26 11:45:55

Period to Timestamp with minutely frequency...
2021-11-26 11:45:00