Python Pandas - 检查 DateOffset 值是否已标准化
若要检查 DateOffset 值是否已标准化,请在 Pandas 中使用 offset.normalize 属性。
首先,导入所需的库 −
from pandas.tseries.offsets import DateOffset import pandas as pd
在 Pandas 中设置时间戳对象 −
timestamp = pd.Timestamp('2021-09-26 03:25:02.000045')
创建 DateOffset。在此使用 “months” 参数递增月份。我们使用 “normalize” 参数对 DateOffset 进行了标准化 −
offset = pd.tseries.offsets.DateOffset(months=4, normalize=True)
显示已更新的时间戳 −
print("\nUpdated Timestamp...\n",timestamp + offset)
检查 DateOffset 是否已标准化 −
print("\nThe DateOffset is normalized..\n", offset.normalize)
示例
以下是代码 −
from pandas.tseries.offsets import DateOffset import pandas as pd # Set the timestamp object in Pandas timestamp = pd.Timestamp('2021-09-26 03:25:02.000045') # Display the Timestamp print("Timestamp...\n",timestamp) # Create the DateOffset # Incrementing the months here using the "months" parameter # We have normalized the DateOffset using the "normalize" parameter offset = pd.tseries.offsets.DateOffset(months=4, normalize=True) # Display the DateOffset print("\nDateOffset...\n",offset) # Display the Updated Timestamp print("\nUpdated Timestamp...\n",timestamp + offset) # check whether the DateOffset is normalized or not print("\nThe DateOffset is normalized..\n", offset.normalize)
输出
这将生成以下代码 −
Timestamp... 2021-09-26 03:25:02.000045 DateOffset... <DateOffset: months=4> Updated Timestamp... 2022-01-26 00:00:00 The DateOffset is normalized.. True
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