Pyspark dataframe位运算及按行运算

>>> from pyspark.sql import Row
>>> df = spark.createDataFrame([Row(a=170, b=75)])
>>> df.select(df.a.bitwiseOR(df.b)).show()
+-------+
|(a | b)|
+-------+
| 235|
+-------+

>>> df.select(df.a.bitwiseAND(df.b)).show()
+-------+
|(a & b)|
+-------+
| 10|
+-------+

>>> df.select(df.a.bitwiseXOR(df.b)).show()
+-------+
|(a ^ b)|
+-------+
| 225|
+-------+

>>> df.select(bitwiseNOT((df.a))).show()
+----+
| ~a|
+----+
|-171|
+----+

>>> df.select(df.a.__add__(df.b)).show()
+-------+
|(a + b)|
+-------+
| 245|
+-------+

>>> df.select(df.a.__sub__(df.b)).show()
+-------+
|(a - b)|
+-------+
| 95|
+-------+

>>> df.select(df.a.__mul__(df.b)).show()
+-------+
|(a * b)|
+-------+
| 12750|
+-------+

>>> df.select(df.a.__div__(df.b)).show()
+------------------+
| (a / b)|
+------------------+
|2.2666666666666666|
+------------------+