-
foxes.input.states.create.random_timseries_data(n_times, data_ranges=
None
, start_time='2000-01-01 00:00:00'
, freq='h'
, seed=None
, iname='Time'
)[source] Creates random uniform timeseries data
Parameters¶
- n_times: int
The number of time steps
- data_ranges: dict, optional
The data ranges. Key: variable name, value: tuple, [min, max) values
- start_time: str
The first time stamp in the series
- freq: str
The time period range frequency
- seed: int, optional
The random seed
- iname: str
The index name
Returns¶
- sdata: pandas.DataFrame
The timeseries data