使用 Python 获取列中的周数
我试图根据数据在数据范围内使用一周的数字，根据数据中的几天，一个月的时间里有一周的数字。 这是以下代码 -
import pandas as pd
import numpy as np
s={'yr':[2014,2014,2014,2014,2015,2015,2015,2015],'Month':['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug'],'Days':[12,24,11,22,10,15,22,3]}
p=pd.DataFrame(data=s)
import datetime
p['week']=datetime.date(p['yr'], p['Month'], p['Days']).isocalendar().week
I am getting the below error-
TypeError: cannot convert the series to <class 'int'>
我不确定如何解决此错误，我认为我也需要以数字格式转换月份还日期吗？
I was trying to get this requirement where I want to have a column in my dataframe with week number, based on Days, Month an yr present in data.
Here is the below code-
import pandas as pd
import numpy as np
s={'yr':[2014,2014,2014,2014,2015,2015,2015,2015],'Month':['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug'],'Days':[12,24,11,22,10,15,22,3]}
p=pd.DataFrame(data=s)
import datetime
p['week']=datetime.date(p['yr'], p['Month'], p['Days']).isocalendar().week
I am getting the below error-
TypeError: cannot convert the series to <class 'int'>
I am not sure on how to resolve this error, I think I need to convert Month in numeric format too, how would be able to do this and get the week number in the date also?
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这条线并不那么好，但它有效：
This line isn't as nice, but it works: