docs: fix rendering (#353)

docs/basics/complete_example.md

@@ -65,8 +65,7 @@ import narwhals as nw
 
 class StandardScaler:
     @nw.narwhalify(eager_only=True)
-    def fit(self, df_any):
-        df = nw.from_native(df_any, eager_only=True)
+    def fit(self, df):
         self._means = {col: df[col].mean() for col in df.columns}
         self._std_devs = {col: df[col].std() for col in df.columns}
 

narwhals/expression.py

@@ -615,9 +615,7 @@ def diff(self) -> Expr:
             the diff and fill missing values with `0` in a Int64 column, you could
             do:
 
-            ```python
-            nw.col("a").diff().fill_null(0).cast(nw.Int64)
-            ```
+                nw.col("a").diff().fill_null(0).cast(nw.Int64)
 
         Examples:
             >>> import polars as pl
@@ -668,9 +666,7 @@ def shift(self, n: int) -> Expr:
             and fill missing values with `0` in a Int64 column, you could
             do:
 
-            ```python
-            nw.col("a").shift(1).fill_null(0).cast(nw.Int64)
-            ```
+                nw.col("a").shift(1).fill_null(0).cast(nw.Int64)
 
         Examples:
             >>> import polars as pl

narwhals/series.py

@@ -691,9 +691,7 @@ def diff(self) -> Self:
             the diff and fill missing values with `0` in a Int64 column, you could
             do:
 
-            ```python
-           s_any.diff().fill_null(0).cast(nw.Int64)
-            ```
+                s_any.diff().fill_null(0).cast(nw.Int64)
 
         Examples:
             >>> import pandas as pd
@@ -742,9 +740,7 @@ def shift(self, n: int) -> Self:
             and fill missing values with `0` in a Int64 column, you could
             do:
 
-            ```python
-           s_any.shift(1).fill_null(0).cast(nw.Int64)
-            ```
+                s_any.shift(1).fill_null(0).cast(nw.Int64)
 
         Examples:
             >>> import pandas as pd