Pandas

Question

试图用今天的日期减去 created_date 列填充一列，但出现以下错误：TypeError: unsupported operand type(s) for -: 'str' and '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：- 的操作数类型不受支持：'str' 和 'str'

Answer 1

我认为需要减去 datetimes，因此有必要在 now 和 Created_Date 列中转换 date，最后将 timedeltas 转换为使用天数 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

解决方案应该简化：

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

Answer 2

也许，试试这个作为完整代码：

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)

你想要的，也许：

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)

Pandas - Python - 如何减去两个不同的日期列

Pandas - Python - how to subtract two different date columns

python

datetime

subtraction