CODEWITHSUNDEEP
pythonpandasdataframeresamplingdatetimeindex
Poisson
Poisson

Reputation: 1623

resample dataframe with python

I need to resample a dataframe using pandas.DataFrame.resample function like this : 

data.set_index('TIMESTAMP').resample('24min', how='sum')

This works without no problem, but when I try call the fucntion with 'xmin" where x is a general argment

  data.set_index('TIMESTAMP').resample('xmin', how='sum')

It cannot works

Any idea please?

Thank you

EDIT

def ratio_activ_equip(data, date_deb, date_fin, step):      

 # filtre_site(data, site)
filtre_date(data, date_deb, date_fin)
xmin = 'stepmin'
data.set_index('TIMESTAMP').resample(xmin, how='sum')
res = data.iloc[:,1:10] = data.iloc[:,1:10].divide(data.sum(axis=1), axis=0)
res = data
return res

EDIT2

def ratio_activ_equip(data, date_deb, date_fin, step):       #
     # filtre_site(data, site)
    filtre_date(data, date_deb, date_fin)
    #step = 10
    xmin = str(step) + 'min'
    data = data.set_index('TIMESTAMP').resample(xmin, how='sum')
    data.set_index('TIMESTAMP').resample(xmin, how='sum')
    res = data.iloc[:,1:10] = data.iloc[:,1:10].divide(data.sum(axis=1), axis=0)
    res = data
    return res

When I call this fucntion like this : 

res = ratio_activ_equip(y, '2016-05-10 22:00:00', '2016-05-14 22:00:00', 30)

I get this error : 

KeyError: 'TIMESTAMP'

Any idea please?

Upvotes: 1

Views: 766

Answers (1)

jezrael
jezrael

Reputation: 862481

IIUC you need pass variable xmin:

xmin = '24min'
data.set_index('TIMESTAMP').resample(xmin, how='sum')

More general is convert int value to str and add substring min:

step = 10
xmin = str(step) + 'min'
data = data.set_index('TIMESTAMP').resample(xmin, how='sum')

step = 10
data = data.set_index('TIMESTAMP').resample(str(step) + 'min', how='sum')

Upvotes: 1

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