needs carefull attention in vector attributes

[mlmaskey]

The issues in the forecast_daily_to_monthly.py file

• Line 61: # earliest_year = months_to_calculate[0][1] but months_to_calculate is not subscriptable so it needed to modify as

                                                                      ` earliest_year = months_to_calculate[0]`

• Line 104: # index = pd.to_datetime(['{}-{}-01'.format(ym[0].year, ym[1].month) for i in range(len(months_to_calculate))]). Here, ym is not subscriptable so it was required to modify: index1 = pd.to_datetime(['{}-{}-01'.format(months_to_calculate[i].year, months_to_calculate[i].month) for i in range(len(months_to_calculate))]) Sind index or index1 are in daily scales and that needs to be modified in monthly scale. So one has been done as

index = index1.unique() in line 107 To match the length of vals index is spliced from 9 to -2 as in line 109 df_final = pd.DataFrame(index=index[9:-2], data=vals, columns=month_columns) It seems that we need to store in water year format so, it is redined as in new line 25 'month_columns=['10', '11', '12', '01', '02', '03', '04', '05', '06' , '07', '08', '09']'

It needs careful revision and discusion thanks

[mlmaskey]

@rheinheimer, @nickrsan, @asmtry, and @jviers, why the length of index and vals do not match? Even with unique() operator, the length is not matched. I am not sure how to fix it. I realized that the logic seems to be weird even I succeeded to preporcess.