pyarrow.compute.min_max

pyarrow.compute.min_max(array, /, *, skip_nulls=True, min_count=1, options=None, memory_pool=None)

Compute the minimum and maximum values of a numeric array.

Null values are ignored by default. This can be changed through ScalarAggregateOptions.

Parameters

arrayArray-like

Argument to compute function.

skip_nullsbool, default True

Whether to skip (ignore) nulls in the input. If False, any null in the input forces the output to null.

min_countint, default 1

Minimum number of non-null values in the input. If the number of non-null values is below min_count, the output is null.

optionspyarrow.compute.ScalarAggregateOptions, optional

Alternative way of passing options.

memory_poolpyarrow.MemoryPool, optional

If not passed, will allocate memory from the default memory pool.

previous

pyarrow.compute.min

next

pyarrow.compute.mode