recoding data in python pandas -
all,
i have time series of data hourly. see below:
2014-01-01 00:00:00 96.8 2014-01-01 01:00:00 91.3 2014-01-01 02:00:00 97.8 2014-01-01 03:00:00 77.0 2014-01-01 04:00:00 132.7 2014-01-01 05:00:00 188.1 2014-01-01 06:00:00 141.1 2014-01-01 07:00:00 115.5
i wrangle dataframe looks this:
month 1 2 3 4 5 6 7 8 9 ...
jan
feb data
mar
...
what best way in python pandas? data in series pre formmatted , index datetime. here index:
class 'pandas.tseries.index.datetimeindex' [2014-01-01 00:00:00, ..., 2014-12-31 23:00:00] length: 8760, freq: none, timezone: none
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