docs: replace df_any/s_any with df/s (#621)

* replace some df_any /w df

* replace s_any /w s

docs/api-reference/typing.md

@@ -119,8 +119,8 @@ from narwhals.typing import IntoDataFrameT, DataFrameT
 
 df = pl.DataFrame({'a': [1,2,3]})
 
-def func(df_any: IntoDataFrameT) -> IntoDataFrameT:
-    df = nw.from_native(df_any, eager_only=True)
+def func(df: IntoDataFrameT) -> IntoDataFrameT:
+    df = nw.from_native(df, eager_only=True)
     return nw.to_native(df.select(b=nw.col('a')))
 
 reveal_type(func(df))

docs/basics/complete_example.md

@@ -32,7 +32,7 @@ from typing import Any
 
 class StandardScaler:
     @nw.narwhalify(eager_only=True)
-    def fit(self, df_any: nw.DataFrame[Any]) -> None:
+    def fit(self, df: nw.DataFrame[Any]) -> None:
         self._means = {col: df[col].mean() for col in df.columns}
         self._std_devs = {col: df[col].std() for col in df.columns}
 ```

docs/levels.md

@@ -34,7 +34,7 @@ import narwhals as nw
 from narwhals.schema import Schema
 
 
-def func(df_any: Any) -> Schema:
+def func(df: Any) -> Schema:
     df = nw.from_native(df, eager_or_interchange_only=True)
     return df.schema
 ```

docs/other/pandas_index.md

@@ -21,8 +21,8 @@ Let's learn about what Narwhals promises.
 ```python exec="1" source="above" session="ex1"
 import narwhals as nw
 
-def my_func(df_any):
-    df = nw.from_native(df_any)
+def my_func(df):
+    df = nw.from_native(df)
     df = df.with_columns(a_plus_one=nw.col('a')+1)
     return nw.to_native(df)
 ```