pyarrow.compute.fill_null#

pyarrow.compute.fill_null(values, fill_value)[source]#

Replace each null element in values with a corresponding element from fill_value.

If fill_value is scalar-like, then every null element in values will be replaced with fill_value. If fill_value is array-like, then the i-th element in values will be replaced with the i-th element in fill_value.

The fill_values type must be the same as that of values, or it must be able to be implicitly casted to the arrays type.

This is an alias for coalesce().

Parameters:

valuesArray, ChunkedArray, or Scalar-like object

Each null element is replaced with the corresponding value from fill_value.

fill_valueArray, ChunkedArray, or Scalar-like object

If not same type as values, will attempt to cast.

Returns:

resultdepends on inputs

Values with all null elements replaced

Examples

>>> import pyarrow as pa
>>> arr = pa.array([1, 2, None, 3], type=pa.int8())
>>> fill_value = pa.scalar(5, type=pa.int8())
>>> arr.fill_null(fill_value)
<pyarrow.lib.Int8Array object at ...>
[
  1,
  2,
  5,
  3
]
>>> arr = pa.array([1, 2, None, 4, None])
>>> arr.fill_null(pa.array([10, 20, 30, 40, 50]))
<pyarrow.lib.Int64Array object at ...>
[
  1,
  2,
  30,
  4,
  50
]