python

Loading a TCPD time series in Python

The load_dataset.py file contains example code to load a time series as a TimeSeries object.

>>> from load_dataset import TimeSeries
>>> ts = TimeSeries.from_json('../../datasets/ozone/ozone.json')

To export the time series as a pandas DataFrame, simply use:

>>> ts.df
     t  Total Emissions
0    0         380000.0
1    1         400000.0
2    2         440000.0
3    3         480000.0
4    4         510000.0
5    5         540000.0
...

The TimeSeries instance ts has an integer time axis at ts.t and the observations at ts.y. The time axis is zero-based by default. If you prefer to use a one-based indexing, simply run:

>>> ts.make_one_based()
>>> ts.df
     t  Total Emissions
0    1         380000.0
1    2         400000.0
2    3         440000.0
3    4         480000.0
4    5         510000.0
5    6         540000.0
...

Many of the time series in TCPD have date or datetime labels for the time axis. This axis can be retrieved using:

>>> ts.datestr
array(['1961', '1962', '1963', '1964', '1965', '1966', '1967', '1968',
        ...
       '2009', '2010', '2011', '2012', '2013', '2014'], dtype='<U4')

which uses the date format stored in ts.datefmt.

>>> ts.datefmt
'%Y'