timsaucer commented on code in PR #808:
URL: https://github.com/apache/datafusion-python/pull/808#discussion_r1730328056
##########
docs/source/user-guide/common-operations/windows.rst:
##########
@@ -40,54 +43,86 @@ We'll use the pokemon dataset (from Ritchie Vink) in the
following examples.
ctx = SessionContext()
df = ctx.read_csv("pokemon.csv")
-Here is an example that shows how to compare each pokemons’s attack power with
the average attack power in its ``"Type 1"``
+Here is an example that shows how you can compare each pokemon's speed to the
speed of the
+previous row in the DataFrame.
.. ipython:: python
df.select(
col('"Name"'),
- col('"Attack"'),
- f.alias(
- f.window("avg", [col('"Attack"')], partition_by=[col('"Type 1"')]),
- "Average Attack",
- )
+ col('"Speed"'),
+ f.lag(col('"Speed"')).alias("Previous Speed")
)
-You can also control the order in which rows are processed by window functions
by providing
+Setting Parameters
+------------------
+
+You can control the order in which rows are processed by window functions by
providing
a list of ``order_by`` functions for the ``order_by`` parameter.
.. ipython:: python
df.select(
col('"Name"'),
col('"Attack"'),
- f.alias(
- f.window(
- "rank",
- [],
- partition_by=[col('"Type 1"')],
- order_by=[f.order_by(col('"Attack"'))],
- ),
- "rank",
- ),
+ col('"Type 1"'),
+ f.rank()
+ .partition_by(col('"Type 1"'))
+ .order_by(col('"Attack"').sort(ascending=True))
+ .build()
+ .alias("rank"),
+ ).sort(col('"Type 1"').sort(), col('"Attack"').sort())
Review Comment:
There is, but it's an annoyance I've been thinking about fixing. I've moved
this to draft so I can tighten that up.
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