tangent_works.TimeSeries

A class used to represent a time series dataset for Tangent.

data : pandas.DataFrame

Dataframe with timeseries data

timestamp_column: str, default None

String indicating the datetime column of the time series.

group_key_columns: list[str], default None

List of strings indicating the categorical columns that will acts as keys for grouped timeseries analysis.

timestamps : pd.Series

Series of timestamps in the dataset.

columns : pd.Index

List of column names in the dataset.

sampling_period : SamplingPeriod, optional

Sampling period of the dataset. If not provided, sampling period is detected automatically.

validate(inplace)

Validates correctness of the dataset (column names and types, timestamps and data).

validate_timestamps_alignment(inplace)

Validates alignment of timestamps with respect to the sampling period.

time_scaling(configuration)

Resamples the dataset according to the provided configuration.

imputation(configuration)

Imputes missing values in the dataset according to the provided imputation configuration.