Python Pandas - 以字符串形式应用于给定的 BusinessDay Offset 对象的返回频率

要将应用于给定 BusinessDay Offset 对象的频率作为字符串返回，请使用BusinessDay.freqstrPandas 中的属性。

首先，导入所需的库 -

import datetime
import pandas as pd

在 Pandas 中设置时间戳对象 -

timestamp = pd.Timestamp('2021-1-1 01:55:02.000045')

创建工作日偏移量。BusinessDay 是 DateOffset 子类 -

bdOffset = pd.tseries.offsets.BusinessDay(offset = datetime.timedelta(days = 7, hours = 7, minutes = 7))

显示更新的时间戳 -

print("\nUpdated Timestamp...\n",timestamp + bdOffset)

以字符串形式返回应用于给定 BusinessDay 对象的频率 -

print("\nFrequency on the given BusinessDay Offset...\n",bdOffset.freqstr)

示例

以下是代码 -

import datetime
import pandas as pd

# Set the timestamp object in Pandas
timestamp = pd.Timestamp('2021-1-1 01:55:02.000045')

# Display the Timestamp
print("Timestamp...\n",timestamp)

# Create the BusinessDay Offset
# BusinessDay is the DateOffset subclass
bdOffset = pd.tseries.offsets.BusinessDay(offset = datetime.timedelta(days = 7, hours = 7, minutes = 7))

# Display the BusinessDay Offset
print("BusinessDay Offset...\n",bdOffset)

# Display the Updated Timestamp
print("\nUpdated Timestamp...\n",timestamp + bdOffset)

# return the frequency applied on the given BusinessDay object as a string
print("\nFrequency on the given BusinessDay Offset...\n",bdOffset.freqstr)

这将产生以下代码 -

Timestamp...
 2021-01-01 01:55:02.000045
BusinessDay Offset...
 <BusinessDay: offset=datetime.timedelta(days=7, seconds=25620)>

Updated Timestamp...
 2021-01-11 09:02:02.000045

Frequency on the given BusinessDay Offset...
 B+7D7H7Min