熊貓-Python-如何減去兩個不同的日期列

Question

試圖用今天的日期減去created_date列填充一列，但出現以下錯誤：TypeError：-的不支持的操作數類型：'str'和'str'

import datetime
now = datetime.date.today()
today = '{0:%m/%d/%Y}'.format(now).format(now)
today
data['Aging'] = today
data['Aging'] = data['Aging'].sub(data['Created_Date'], axis=0)

TypeError：-：'str'和'str'不支持的操作數類型

Answer 1

我認為需要減去datetime ，所以有必要在now和Created_Date列中轉換date ，最后將timedelta轉換為天使用dt.days ：

import datetime
now = datetime.date.today()
today = pd.Timestamp(now)

data['Created_Date'] = pd.to_datetime(data['Created_Date'])
data['Aging'] = today
data['Aging'] = data['Aging'].sub(data['Created_Date'], axis=0).dt.days

解決方案應簡化：

data['Created_Date'] = pd.to_datetime(data['Created_Date'])
data['Aging'] = data['Created_Date'].rsub(today, axis=0).dt.days

Answer 2

也許，將其作為完整代碼嘗試：

data['Created_Date'] = pd.to_datetime(data['Created_Date'])
data['Aging'] = pd.to_datetime('now')
data['Aging'] = data['Aging'].sub(data['Created_Date'], axis=0)

您想要什么，也許：

data['Created_Date'] = pd.to_datetime(data['Created_Date'])
data['Aging'] = pd.to_datetime('now').strftime('%m/%d/%Y')
data['Aging'] = data['Aging'].sub(data['Created_Date'], axis=0)