Python Pandas - 顯示應用於給定 CustomBusinessHour 物件的關鍵字引數


要在 Pandas 中顯示應用於給定 CustomBusinessHour 物件的關鍵字引數,請使用 CustomBusinessHour.kwds 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('2021-10-25 08:35:10')

建立 CustomBusinessHour 偏移 −

cbhOffset = pd.tseries.offsets.CustomBusinessHour(n = 3, weekmask = 'Mon Tue Wed Fri Sat')

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 + cbhOffset)

顯示關鍵字引數 −

print("\nKeyword arguments on the given CustomBusinessHour Offset...\n",cbhOffset.kwds)

示例

程式碼如下 −

import pandas as pd

# Set the timestamp object in Pandas
timestamp = pd.Timestamp('2021-10-25 08:35:10')

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

# Create the CustomBusinessHour Offset
# CustomBusinessHour is the DateOffset subclass
# Weekmask of valid business days
cbhOffset = pd.tseries.offsets.CustomBusinessHour(n = 3, weekmask = 'Mon Tue Wed Fri Sat')

# Display the CustomBusinessHour Offset
print("\nCustomBusinessHour Offset...\n",cbhOffset)

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

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

# Display the keyword arguments
print("\nKeyword arguments on the given CustomBusinessHour Offset...\n",cbhOffset.kwds)

輸出

將生成以下程式碼 −

Timestamp...
 2021-10-25 08:35:10

CustomBusinessHour Offset...
 <3 * CustomBusinessHours: CBH=09:00-17:00>

Updated Timestamp...
 2021-10-25 12:00:00

Frequency applied on the given CustomBusinessHour Offset object...
 3CBH

Keyword arguments on the given CustomBusinessHour Offset...
 {'weekmask': 'Mon Tue Wed Fri Sat', 'holidays': (), 'calendar': <numpy.busdaycalendar object at 0x7f48facfa840>, 'start': (datetime.time(9, 0),), 'end': (datetime.time(17, 0),), 'offset': datetime.timedelta(0)}

更新日期: 2021-10-22

91 次瀏覽

開啟你的 職業生涯

透過完成本課程獲得認證

開始
廣告
© . All rights reserved.