Update docs for with_columns

Add docs for new with_columns implementations.

Author: jernejfrank

docs/reference/decorators/with_columns.rst

@@ -2,17 +2,35 @@
 with_columns
 =======================
 
-Pandas
---------------
+We support the `with_columns` operation that appends the results as new columns to the original dataframe for several libraries:
 
-We have a ``with_columns`` option to run operations on columns of a Pandas dataframe and append the results as new columns.
+Pandas
+-----------------------
 
 **Reference Documentation**
 
 .. autoclass:: hamilton.plugins.h_pandas.with_columns
    :special-members: __init__
 
 
+Polar (Eager)
+-----------------------
+
+**Reference Documentation**
+
+.. autoclass:: hamilton.plugins.h_polars.with_columns
+   :special-members: __init__
+
+
+Polars (Lazy)
+-----------------------
+
+**Reference Documentation**
+
+.. autoclass:: hamilton.plugins.h_polars_lazyframe.with_columns
+   :special-members: __init__
+
+
 PySpark
 --------------
 

examples/pandas/with_columns/README

@@ -2,6 +2,6 @@
 
 We show the ability to use the familiar `with_columns` from either `pyspark` or `polars` on a Pandas dataframe.
 
-To see the example look at the notebook.
+To see the example look at the [notebook](notebook.ipynb).
 
 ![image info](./dag.png)

examples/polars/with_columns/README

@@ -1,8 +1,8 @@
 # Using with_columns with Polars
 
-We show the ability to use the familiar `with_columns` from `polars`. Supported for both `pl.DataFrame` and `pl.LazyFrame`.
+We show the ability to use the familiar `with_columns` from `polars`. Supported for both: `pl.DataFrame` and `pl.LazyFrame`.
 
-To see the example look at the notebook.
+To see the example look at the [notebook](notebook.ipynb).
 
 ![image info](./DAG_DataFrame.png)
 ![image info](./DAG_lazy.png)

hamilton/function_modifiers/README

@@ -1,6 +1,8 @@
 # with_columns_base
 
-Documenting the current design flow for the `with_columns` decorator. It belongs to the `NodeInjector` lifecycle.
+Documenting the current design flow for the `with_columns` decorator.
+
+For now, it belongs to the `NodeInjector` lifecycle since it still runs the decorated function as a node but injects the dataframe with columns appended columns as one of the parameters.
 
 The `with_columns` consists of three parts that are represented in the corresponding three abstract methods in `with_columns_base`: