postprocessor.core.processes.standardscaler.standardscaler¶
- class standardscaler(parameters)[source]¶
Bases:
PostProcessABCProcess to scale a DataFrame of a signal using the standard scaler.
- Attributes
- parameters
Methods
run(signal: pd.DataFrame)
Scale values in a dataframe of time series.
- Attributes
- parameters
Methods
run(signal)Scale values in a dataframe of time series.
as_function
default_parameters
Methods
__init__(parameters)as_function(data, *extra_data, **kwargs)default_parameters(*args, **kwargs)run(signal)Scale values in a dataframe of time series.
Attributes
parameters- run(signal)[source]¶
Scale values in a dataframe of time series.
Scale values in a dataframe of time series. This function is effectively a wrapper for sklearn.preprocessing.StandardScaler.
- Parameters
- signalpd.DataFrame
Time series, with rows indicating individual time series (e.g. from each cell), and columns indicating time points.