diff --git a/docs/user-guide/transformations/joins.md b/docs/user-guide/transformations/joins.md index d568cd63069c..1a6f29337191 100644 --- a/docs/user-guide/transformations/joins.md +++ b/docs/user-guide/transformations/joins.md @@ -2,7 +2,7 @@ ## Join strategies -Polars supports the following join strategies by specifying the `strategy` argument: +Polars supports the following join strategies by specifying the `how` argument: | Strategy | Description | | -------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | @@ -10,7 +10,6 @@ Polars supports the following join strategies by specifying the `strategy` argum | `left` | Returns all rows in the left dataframe, whether or not a match in the right-frame is found. Non-matching rows have their right columns null-filled. | | `outer` | Returns all rows from both the left and right dataframe. If no match is found in one frame, columns from the other frame are null-filled. | | `cross` | Returns the Cartesian product of all rows from the left frame with all rows from the right frame. Duplicates rows are retained; the table length of `A` cross-joined with `B` is always `len(A) × len(B)`. | -| `asof` | A left-join in which the match is performed on the _nearest_ key rather than on equal keys. | | `semi` | Returns all rows from the left frame in which the join key is also present in the right frame. | | `anti` | Returns all rows from the left frame in which the join key is _not_ present in the right frame. | @@ -139,10 +138,10 @@ Continuing this example, an alternative question might be: which of the cars hav --8<-- "python/user-guide/transformations/joins.py:anti" ``` -### Asof join +## Asof join An `asof` join is like a left join except that we match on nearest key rather than equal keys. -In Polars we can do an asof join with the `join` method and specifying `strategy="asof"`. However, for more flexibility we can use the `join_asof` method. +In Polars we can do an asof join with the `join_asof` method. Consider the following scenario: a stock market broker has a `DataFrame` called `df_trades` showing transactions it has made for different stocks.