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[MINOR][PYTHON][DOCS] Refine the examples in window.py #53112

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[MINOR][PYTHON][DOCS] Refine the examples in window.py #53112

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20 changes: 8 additions & 12 deletions python/pyspark/sql/window.py
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Original file line number Diff line number Diff line change
Expand Up @@ -86,8 +86,7 @@ def partitionBy(*cols: Union["ColumnOrName", Sequence["ColumnOrName"]]) -> "Wind

Examples
--------
>>> from pyspark.sql import Window
>>> from pyspark.sql.functions import row_number
>>> from pyspark.sql import Window, functions as sf
>>> df = spark.createDataFrame(
... [(1, "a"), (1, "a"), (2, "a"), (1, "b"), (2, "b"), (3, "b")], ["id", "category"])
>>> df.show()
Expand All @@ -105,7 +104,7 @@ def partitionBy(*cols: Union["ColumnOrName", Sequence["ColumnOrName"]]) -> "Wind
Show row number order by ``id`` in partition ``category``.

>>> window = Window.partitionBy("category").orderBy("id")
>>> df.withColumn("row_number", row_number().over(window)).show()
>>> df.withColumn("row_number", sf.row_number().over(window)).show()
+---+--------+----------+
| id|category|row_number|
+---+--------+----------+
Expand Down Expand Up @@ -139,8 +138,7 @@ def orderBy(*cols: Union["ColumnOrName", Sequence["ColumnOrName"]]) -> "WindowSp

Examples
--------
>>> from pyspark.sql import Window
>>> from pyspark.sql.functions import row_number
>>> from pyspark.sql import Window, functions as sf
>>> df = spark.createDataFrame(
... [(1, "a"), (1, "a"), (2, "a"), (1, "b"), (2, "b"), (3, "b")], ["id", "category"])
>>> df.show()
Expand All @@ -158,7 +156,7 @@ def orderBy(*cols: Union["ColumnOrName", Sequence["ColumnOrName"]]) -> "WindowSp
Show row number order by ``category`` in partition ``id``.

>>> window = Window.partitionBy("id").orderBy("category")
>>> df.withColumn("row_number", row_number().over(window)).show()
>>> df.withColumn("row_number", sf.row_number().over(window)).show()
+---+--------+----------+
| id|category|row_number|
+---+--------+----------+
Expand Down Expand Up @@ -214,8 +212,7 @@ def rowsBetween(start: int, end: int) -> "WindowSpec":

Examples
--------
>>> from pyspark.sql import Window
>>> from pyspark.sql import functions as func
>>> from pyspark.sql import Window, functions as sf
>>> df = spark.createDataFrame(
... [(1, "a"), (1, "a"), (2, "a"), (1, "b"), (2, "b"), (3, "b")], ["id", "category"])
>>> df.show()
Expand All @@ -234,7 +231,7 @@ def rowsBetween(start: int, end: int) -> "WindowSpec":
in partition ``category``

>>> window = Window.partitionBy("category").orderBy("id").rowsBetween(Window.currentRow, 1)
>>> df.withColumn("sum", func.sum("id").over(window)).sort("id", "category", "sum").show()
>>> df.withColumn("sum", sf.sum("id").over(window)).sort("id", "category", "sum").show()
+---+--------+---+
| id|category|sum|
+---+--------+---+
Expand Down Expand Up @@ -294,8 +291,7 @@ def rangeBetween(start: int, end: int) -> "WindowSpec":

Examples
--------
>>> from pyspark.sql import Window
>>> from pyspark.sql import functions as func
>>> from pyspark.sql import Window, functions as sf
>>> df = spark.createDataFrame(
... [(1, "a"), (1, "a"), (2, "a"), (1, "b"), (2, "b"), (3, "b")], ["id", "category"])
>>> df.show()
Expand All @@ -314,7 +310,7 @@ def rangeBetween(start: int, end: int) -> "WindowSpec":
in partition ``category``

>>> window = Window.partitionBy("category").orderBy("id").rangeBetween(Window.currentRow, 1)
>>> df.withColumn("sum", func.sum("id").over(window)).sort("id", "category").show()
>>> df.withColumn("sum", sf.sum("id").over(window)).sort("id", "category").show()
+---+--------+---+
| id|category|sum|
+---+--------+---+
Expand Down