Pandas resampling data with bigger interval than a whole index range
Question:
Situation
I have the folowwing pandas timeseries data:
date
predicted1
2001-03-13
0.994756
2005-08-22
0.551661
2000-05-07
0.001396
I need to take into account a case of resampling into bigger interval than a 5 years, for e.g. 10 years:
sample = data.set_index(pd.DatetimeIndex(data['date'])).drop('date', axis=1)['predicted1']
sample.resample('10Y').sum()
I get the following:
date
2000-12-31
0.001396
2010-12-31
1.546418
So resampling function groups data for the first year and separetely for other years.
Question
How to group all data to the 10 year interval? I want to get smth like this:
date
2000-12-31
1.5478132011506138
Answers:
You can change the reference, closing and label in resample:
sample.resample('10Y', origin=sample.index.min(), closed='left', label='left').sum()
Output:
date
1999-12-31 1.547813
Freq: 10A-DEC, Name: predicted1, dtype: float64
Situation
I have the folowwing pandas timeseries data:
| date | predicted1 |
|---|---|
| 2001-03-13 | 0.994756 |
| 2005-08-22 | 0.551661 |
| 2000-05-07 | 0.001396 |
I need to take into account a case of resampling into bigger interval than a 5 years, for e.g. 10 years:
sample = data.set_index(pd.DatetimeIndex(data['date'])).drop('date', axis=1)['predicted1']
sample.resample('10Y').sum()
I get the following:
| date | |
|---|---|
| 2000-12-31 | 0.001396 |
| 2010-12-31 | 1.546418 |
So resampling function groups data for the first year and separetely for other years.
Question
How to group all data to the 10 year interval? I want to get smth like this:
| date | |
|---|---|
| 2000-12-31 | 1.5478132011506138 |
You can change the reference, closing and label in resample:
sample.resample('10Y', origin=sample.index.min(), closed='left', label='left').sum()
Output:
date
1999-12-31 1.547813
Freq: 10A-DEC, Name: predicted1, dtype: float64