testing

Testing utilities for comparing pandas objects.

Provides matcher classes for use in test assertions when comparing pandas DataFrames and Series with equality semantics.

Functions

assert_timeseries_equal(actual, expected)	Assert that two TimeSeriesDataset objects are equal.
configure_notebook_display([renderer])	Configure pandas plotting backend and plotly renderer for notebook output.
create_synthetic_forecasting_dataset([...])	Create synthetic forecasting dataset for testing.
create_timeseries_dataset(index[, ...])	Create a TimeSeriesDataset for testing purposes.
load_liander_dataset(*[, target, repo_id, ...])	Download and combine the Liander benchmark dataset into a single TimeSeriesDataset.
prepare_tutorial_datasets(*[, ...])	Load the Liander benchmark dataset and split into training and forecast periods.
setup_notebook_logging([name, suppress])	Configure logging for tutorial notebooks and return a named logger.

Classes

IsSamePandas(pandas_obj)

Utility class to allow comparison of pandas DataFrames in assertion / calls.