Python Pandas - 獲取應用於 CustomBusinessDay 偏移量的 weekmask


要獲取應用於 CustomBusinessDay 偏移量的 weekmask,請在 Pandas 中使用 CustomBusinessDay.weekmask 屬性。

首先,匯入所需的庫:

import pandas as pd

在 Pandas 中設定時間戳物件:

timestamp = pd.Timestamp('2021-10-22 03:10:35')

建立 CustomBusinessDay 偏移量。CustomBusinessDay 是 DateOffset 的子類,表示排除節假日的自定義工作日。有效工作日的 Weekmask:

cbdOffset = pd.tseries.offsets.CustomBusinessDay(n = 4, weekmask = 'Mon Tue Wed Fri')

將偏移量新增到時間戳並顯示更新後的時間戳:

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

顯示 weekmask:

print("\nThe weekmask on the CustomBusinessDay object..\n", cbdOffset.weekmask)

示例

以下是程式碼:

import pandas as pd

# Set the timestamp object in Pandas
timestamp = pd.Timestamp('2021-10-22 03:10:35')

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

# Create the CustomBusinessDay Offset
# CustomBusinessDay is the DateOffset subclass representing custom business days excluding holidays
# Weekmask of valid business days
cbdOffset = pd.tseries.offsets.CustomBusinessDay(n = 4, weekmask = 'Mon Tue Wed Fri')

# Display the CustomBusinessDay Offset
print("\nCustomBusinessDay Offset...\n",cbdOffset)

# Add the offset to the Timestamp and display the Updated Timestamp
print("\nUpdated Timestamp...\n",timestamp + cbdOffset)

# Return frequency applied on the given CustomBusinessDay Offset object as a string
print("\nFrequency applied on the given CustomBusinessDay Offset object...\n",cbdOffset.freqstr)

# return the count of increments on the given CustomBusinessDay object
print("\nThe count of increments on the CustomBusinessDay object..\n", cbdOffset.n)

# display the weekmask
print("\nThe weekmask on the CustomBusinessDay object..\n", cbdOffset.weekmask)

輸出

這將產生以下程式碼:

Timestamp...
 2021-10-22 03:10:35

CustomBusinessDay Offset...
 <4 * CustomBusinessDays>

Updated Timestamp...
 2021-10-29 03:10:35

Frequency applied on the given CustomBusinessDay Offset object...
 4C

The count of increments on the CustomBusinessDay object..
 4

The weekmask on the CustomBusinessDay object..
 Mon Tue Wed Fri

更新於:2021年10月22日

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