pyspark.pandas.option_context¶
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pyspark.pandas.option_context(*args: Any) → Iterator[None][source]¶ Context manager to temporarily set options in the with statement context.
You need to invoke as
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