pyspark.pandas.option_context

pyspark.pandas.option_context(*args: Any) → Iterator[None]

Context manager to temporarily set options in the with statement context.

You need to invoke option_context(pat, val, [(pat, val), ...]).

Examples

>>> with option_context('display.max_rows', 10, 'compute.max_rows', 5):
...     print(get_option('display.max_rows'), get_option('compute.max_rows'))
10 5
>>> print(get_option('display.max_rows'), get_option('compute.max_rows'))
1000 1000

pyspark.pandas.set_option pyspark.pandas.melt