numpy - Python: pivot table error -

i'm trying find average hourly trips on weekends , weekdays both "annual members" , "short-term pass holder"

data frame info:

datetimeindex: 7795 entries, 2014-10-13 2015-10-12 data columns (total 4 columns): (hour, )                             7795 non-null int64 (trip_id, annual member)             7795 non-null float64 (trip_id, short-term pass holder)    7795 non-null float64 (weekend, )                          7795 non-null bool 

data frame looks in attached image

i attempted below code, not working by_hour.pivot_table(index=['weekend','hour'],aggfunc ='mean',columns=['annual member','short-term pass holder'])

error thrown is:

attributeerror: 'numpy.ndarray' object has no attribute 'start'

edit: posting completed code:

%matplotlib inline import matplotlib.pyplot plt import pandas pd import numpy np import seaborn sns; sns.set() trips = pd.read_csv('2015_trip_data.csv', parse_dates=['starttime', 'stoptime'],                 infer_datetime_format=true)  ind = pd.datetimeindex(trips.starttime)  trips['date'] = ind.date.astype('datetime64')  trips['hour'] = ind.hour  by_date = trips.pivot_table(index=['date'],values =['trip_id'], columns='usertype', aggfunc ='count')  by_weekday=by_date.groupby([by_date.index.year,by_date.index.dayofweek]).mean()  by_hour = trips.pivot_table(index =['date','hour'], columns =['usertype'],                         values =['trip_id'], aggfunc ='count').fillna(0).reset_index('hour')