postprocessor.core.processes.standardscaler.standardscaler

class standardscaler(parameters)[source]

Bases: PostProcessABC

Process 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

__init__(parameters)[source]

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.