when inner join acting as a outer join pyspark code example

Example: pyspark join

>>> df.join(df2, df.name == df2.name, 'outer').select(df.name, df2.height).collect()
[Row(name=None, height=80), Row(name='Bob', height=85), Row(name='Alice', height=None)]