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

Compute the mean of a numeric array.

Null values are ignored by default. Minimum count of non-null values can be set and null is returned if too few are present. This can be changed through ScalarAggregateOptions. The result is a double for integer and floating point arguments, and a decimal with the same bit-width/precision/scale for decimal arguments. For integers and floats, NaN is returned if min_count = 0 and there are no values. For decimals, null is returned instead.


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.