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Python upsampling : Only valid with DatetimeIndex, TimedeltaIndex or PeriodIndex, but got an instance of 'RangeIndex'
“Large data” work flows using pandasPandas TimeGrouper issue - Typeerror on “time” indexResample python list with pandasConvert daily data in pandas dataframe to monthly dataPandas Resampling: TypeError: Only valid with DatetimeIndex, TimedeltaIndex or PeriodIndex, but got an instance of 'RangeIndex'For a DataFrame with a DatetimeIndex, how do I add a new column that is an aggregation of the resampled DatetimeIndex?python how to correct using resampleDataFrame does not allow Timestamps conversion for resamplingPython: upsampling dataframe from daily to hourly data using ffill()
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I'm trying to upsample this dataframe to a daily frequency. The idea is to put zero values for the upsampled items. I get the following error in my shell:
'TypeError: Only valid with DatetimeIndex, TimedeltaIndex or PeriodIndex, but got an instance of 'RangeIndex'
(note: I'm working in a django project and have turned my query set into a dataframe)
Below is the code related to the question.
import my model:
from items.models import Item
Turn a query set into a dataframe:
pd.DataFrame(list(Item.objects.filter(feeder__slug='slugger').values('date','amount')))
Put data as first column:
a = a[['date','amount']]
upsample:
a.resample('D').pad()
python dataframe resampling
add a comment |
I'm trying to upsample this dataframe to a daily frequency. The idea is to put zero values for the upsampled items. I get the following error in my shell:
'TypeError: Only valid with DatetimeIndex, TimedeltaIndex or PeriodIndex, but got an instance of 'RangeIndex'
(note: I'm working in a django project and have turned my query set into a dataframe)
Below is the code related to the question.
import my model:
from items.models import Item
Turn a query set into a dataframe:
pd.DataFrame(list(Item.objects.filter(feeder__slug='slugger').values('date','amount')))
Put data as first column:
a = a[['date','amount']]
upsample:
a.resample('D').pad()
python dataframe resampling
add a comment |
I'm trying to upsample this dataframe to a daily frequency. The idea is to put zero values for the upsampled items. I get the following error in my shell:
'TypeError: Only valid with DatetimeIndex, TimedeltaIndex or PeriodIndex, but got an instance of 'RangeIndex'
(note: I'm working in a django project and have turned my query set into a dataframe)
Below is the code related to the question.
import my model:
from items.models import Item
Turn a query set into a dataframe:
pd.DataFrame(list(Item.objects.filter(feeder__slug='slugger').values('date','amount')))
Put data as first column:
a = a[['date','amount']]
upsample:
a.resample('D').pad()
python dataframe resampling
I'm trying to upsample this dataframe to a daily frequency. The idea is to put zero values for the upsampled items. I get the following error in my shell:
'TypeError: Only valid with DatetimeIndex, TimedeltaIndex or PeriodIndex, but got an instance of 'RangeIndex'
(note: I'm working in a django project and have turned my query set into a dataframe)
Below is the code related to the question.
import my model:
from items.models import Item
Turn a query set into a dataframe:
pd.DataFrame(list(Item.objects.filter(feeder__slug='slugger').values('date','amount')))
Put data as first column:
a = a[['date','amount']]
upsample:
a.resample('D').pad()
python dataframe resampling
python dataframe resampling
edited Mar 24 at 21:07
Heikki
1,6361019
1,6361019
asked Mar 24 at 19:49
TMDTMD
418
418
add a comment |
add a comment |
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