print(df.head) results in
ds y
0 2019-03-01 10:57:32.381378+00:00 18760
1 2019-03-01 10:58:30.933070+00:00 28140
2 2019-03-01 10:58:45.425421+00:00 35520
3 2019-03-01 10:59:11.588687+00:00 50280
4 2019-03-01 10:59:19.064323+00:00 72420
While trying to work with Facebook Prophet I get the following error: ValueError: Column ds has timezone specified, which is not supported. Remove timezone. I now try to remove timezone from my ds column. Do you have an idea of how to achieve that?
df = pd.read_csv(
'wob-2019-ticket-sales.csv',
usecols=['created', 'total_gross'],
parse_dates=['created'],
# date_parser=lambda x: pd.to_datetime(x.rpartition('-')[0])
)
df['y'] = df['total_gross'].cumsum()
df = df.rename(columns={'created': 'ds'})
df = df.drop(columns='total_gross')
df.head()
