Starting from a Pandas Dataframe with it's setup:
B13-111DATA.TIJD object dtype: object B13-111DATA.TIJD StartTime 2020-03-30 00:00:00 292 2020-03-30 00:00:01 292 2020-03-30 00:00:02 292 2020-03-30 00:00:03 292 2020-03-30 00:00:04 292 ... ... 2020-04-07 23:59:55 333 2020-04-07 23:59:56 333 2020-04-07 23:59:57 333 2020-04-07 23:59:58 333 2020-04-07 23:59:59 333 [777600 rows x 1 columns] This Pandas Dataframe I would like to transform to a structuce like below:
B13-111DATA.TIJD int64 dtype: object or
B13-111DATA.TIJD float64 dtype: object I tried to use following line:
df = df[B13-111DATA.TIJD].astype(float) But it returns me a simple "float" and errors my code
print(output.columns.values) with an error "AttributeError: 'Series' object has no attribute 'columns'". It looks my dataFrame turned into a series. Could that be the case?
Pretty sure it is something simple many people already encountered here. Any tip or help would be appreciated.
