Utility functions

The sktime.utils module contains utility functions.

Utility functionality.

Plotting

plot_series(*series[, labels, markers, …])	Plot one or more time series.
plot_lags(series[, lags, suptitle])	Plot one or more lagged versions of a time series.
plot_correlations(series[, lags, alpha, …])	Plot series and its ACF and PACF values.

Data Processing

are_columns_nested(X)	Check whether any cells have nested structure in each DataFrame column.
from_nested_to_2d_array(X[, return_numpy])	Convert nested Panel to 2D numpy Panel.
from_2d_array_to_nested(X[, index, columns, …])	Convert 2D dataframe to nested dataframe.
from_3d_numpy_to_2d_array(X)	Convert 2D NumPy Panel to 2D numpy Panel.
from_3d_numpy_to_nested(X[, column_names, …])	Convert numpy 3D Panel to nested pandas Panel.
from_nested_to_3d_numpy(X)	Convert nested Panel to 3D numpy Panel.
from_multi_index_to_3d_numpy(X[, …])	Convert pandas multi-index Panel to numpy 3D Panel.
from_3d_numpy_to_multi_index(X[, …])	Convert 3D numpy Panel to pandas multi-index Panel.
from_multi_index_to_nested(multi_ind_dataframe)	Convert a pandas DataFrame witha multi-index to a nested DataFrame.
from_nested_to_multi_index(X[, …])	Convert nested pandas Panel to multi-index pandas Panel.
from_nested_to_long(X[, …])	Convert nested DataFrame to long DataFrame.
from_long_to_nested(X_long[, …])	Convert long DataFrame to a nested DataFrame.