baybe.utils.dataframe

Dataframe utilities.

Functions

add_fake_measurements(data, targets[, ...])	Add fake measurements to a dataframe which was the result of a recommendation.
add_noise_to_perturb_degenerate_rows(df[, ...])	Add noise to degenerate rows to make them numerically distinguishable.
add_parameter_noise(data, parameters[, ...])	Apply uniform noise to the parameter values of a recommendation frame.
arrays_to_dataframes(input_labels, ...[, ...])	Make a decorator for labeling the input/output columns of array-based callables.
df_drop_single_value_columns(df[, lst_exclude])	Drop dataframe columns with zero variance.
df_drop_string_columns(df[, ignore_list])	Drop dataframe columns with string values.
df_uncorrelated_features(df[, exclude_list, ...])	Return an uncorrelated set of features.
filter_df(df, /, to_keep[, complement])	Filter a dataframe based on a second dataframe defining filtering conditions.
fuzzy_row_match(left_df, right_df, ...)	Match row of the right dataframe to the rows of the left dataframe.
get_transform_objects(df, objects, /, *[, ...])	Extract the objects relevant for transforming a given dataframe.
pretty_print_df(df[, max_rows, max_columns, ...])	Convert a dataframe into a pretty/readable format.
to_tensor(*x)	Convert numpy arrays and pandas dataframes to tensors.