Why is this python-panda operation returning an error? -


i have csv file consisting in 3 columns of bitcoin history, looks this:

1500326826,2174.000000000000,0.027612680000 1500326826,2174.000000000000,0.158374090000 1500326826,2174.000000000000,0.100000000000 1500326834,2174.000000000000,2.000000000000 ...

i'm trying ohlc of intervals of 10 minutes this: 

data_frame=   pd.read_csv('./btcmag/raw_initial_currency_data/krakenusd.csv',  names=['date_time', 'price', 'volume'], index_col=0, parse_dates=true)  data_price = data_frame['price'].resample('10min').ohlc()

i tried different ways, exmaple:

data_price = data_frame.resample('10min').ohlc()

but in command line:

   data_price = data_frame['price'].resample('10min').ohlc()   file "/users/john/.virtualenvs/btcmag/lib/python2.7/site-packages/pandas/core/generic.py", line 4729, in resample     base=base, key=on, level=level)   file "/users/john/.virtualenvs/btcmag/lib/python2.7/site-packages/pandas/core/resample.py", line 969, in resample     return tg._get_resampler(obj, kind=kind)   file "/users/john/.virtualenvs/btcmag/lib/python2.7/site-packages/pandas/core/resample.py", line 1091, in _get_resampler     "but got instance of %r" % type(ax).__name__) typeerror:  valid datetimeindex, timedeltaindex or periodindex,  got instance of 'int64index'

i'm total newbie @ , not reading through docs can figure out wrong.

i think work.

data_frame= pd.read_csv('./btcmag/raw_initial_currency_data/krakenusd.csv',  names=['date_time', 'price', 'volume'], index_col=0, parse_dates=true)  data_frame.index = pd.to_datetime(data_frame.index, unit='s')  data_price = data_frame['price'].resample('10min').ohlc()

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