Sample rows from this table.
known_columns (pandas.DataFrame) – A pandas.DataFrame with the columns that are already known. The output
is a DataFrame such that each row in the output is sampled
conditionally on the corresponding row in the input.
max_tries (int) – Number of times to try sampling discarded rows. Defaults to 100.
batch_size_per_try (int) – The batch size to use per attempt at sampling. Defaults to 10 times
the number of rows.
randomize_samples (bool) – Whether or not to use a fixed seed when sampling. Defaults
output_file_path (str or None) – The file to periodically write sampled rows to. Defaults to
a temporary file, if None.
ConstraintsNotMetError – If the conditions are not valid for the given constraints.
ValueError – If any of the following happens:
* any of the conditions’ columns are not valid.
* no rows could be generated.