Pandas max dayofyear by year












0















I have a dataframe with a datetimeindex. There are multiple observations on the same day but different times.



I'm familiar with the dayofyear attribute. Is there a way to use this attribute to also determine the max dayofyear by year? The result would be something like:



2015 252

2016 250

2017 251





pandas datetime dataframe







share|improve this question























  • can you provide a sample data?

    – YOLO
    Jan 1 at 21:55
















0















I have a dataframe with a datetimeindex. There are multiple observations on the same day but different times.



I'm familiar with the dayofyear attribute. Is there a way to use this attribute to also determine the max dayofyear by year? The result would be something like:



2015 252

2016 250

2017 251





pandas datetime dataframe







share|improve this question























  • can you provide a sample data?

    – YOLO
    Jan 1 at 21:55














0












0








0








I have a dataframe with a datetimeindex. There are multiple observations on the same day but different times.



I'm familiar with the dayofyear attribute. Is there a way to use this attribute to also determine the max dayofyear by year? The result would be something like:



2015 252

2016 250

2017 251





pandas datetime dataframe







share|improve this question














I have a dataframe with a datetimeindex. There are multiple observations on the same day but different times.



I'm familiar with the dayofyear attribute. Is there a way to use this attribute to also determine the max dayofyear by year? The result would be something like:



2015 252

2016 250

2017 251





pandas datetime dataframe




pandas datetime dataframe






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Jan 1 at 21:00









trobtrob

167212




167212













  • can you provide a sample data?

    – YOLO
    Jan 1 at 21:55



















  • can you provide a sample data?

    – YOLO
    Jan 1 at 21:55

















can you provide a sample data?

– YOLO
Jan 1 at 21:55





can you provide a sample data?

– YOLO
Jan 1 at 21:55












1 Answer
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If I understand your question, you want to look at a list of dates and for each year get the maximum date for that year.



 # Sample data

 df = pd.DataFrame({'date':pd.DatetimeIndex(start=pd.datetime(2018,12,24),end=pd.datetime(2019,1,2),freq='h')})

 df['dayofyear'] = df.date.dt.dayofyear

 df['year'] = df.date.dt.year

 df.groupby('year').dayofyear.max()


Out:



 year

 2018    365

 2019      2





share|improve this answer























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    1 Answer
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    0














    If I understand your question, you want to look at a list of dates and for each year get the maximum date for that year.



     # Sample data
    
 df = pd.DataFrame({'date':pd.DatetimeIndex(start=pd.datetime(2018,12,24),end=pd.datetime(2019,1,2),freq='h')})
    
 df['dayofyear'] = df.date.dt.dayofyear
    
 df['year'] = df.date.dt.year
    
 df.groupby('year').dayofyear.max()


    Out:



     year
    
 2018    365
    
 2019      2





    share|improve this answer




























      0














      If I understand your question, you want to look at a list of dates and for each year get the maximum date for that year.



       # Sample data
      
 df = pd.DataFrame({'date':pd.DatetimeIndex(start=pd.datetime(2018,12,24),end=pd.datetime(2019,1,2),freq='h')})
      
 df['dayofyear'] = df.date.dt.dayofyear
      
 df['year'] = df.date.dt.year
      
 df.groupby('year').dayofyear.max()


      Out:



       year
      
 2018    365
      
 2019      2





      share|improve this answer


























        0












        0








        0







        If I understand your question, you want to look at a list of dates and for each year get the maximum date for that year.



         # Sample data
        
 df = pd.DataFrame({'date':pd.DatetimeIndex(start=pd.datetime(2018,12,24),end=pd.datetime(2019,1,2),freq='h')})
        
 df['dayofyear'] = df.date.dt.dayofyear
        
 df['year'] = df.date.dt.year
        
 df.groupby('year').dayofyear.max()


        Out:



         year
        
 2018    365
        
 2019      2





        share|improve this answer













        If I understand your question, you want to look at a list of dates and for each year get the maximum date for that year.



         # Sample data
        
 df = pd.DataFrame({'date':pd.DatetimeIndex(start=pd.datetime(2018,12,24),end=pd.datetime(2019,1,2),freq='h')})
        
 df['dayofyear'] = df.date.dt.dayofyear
        
 df['year'] = df.date.dt.year
        
 df.groupby('year').dayofyear.max()


        Out:



         year
        
 2018    365
        
 2019      2






        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Jan 2 at 23:23









        Polkaguy6000Polkaguy6000

        705513




        705513
































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