fix(docs): Correct nested bullet point format for mkdocs

docs/user-guide/expressions/aggregation.md

@@ -14,14 +14,18 @@ make any combination you want. In the snippet below we do the following aggregat
 
 Per GROUP `"first_name"` we
 
+<!-- dprint-ignore-start -->
+
 - count the number of rows in the group:
-  - short form: `pl.count("party")`
-  - full form: `pl.col("party").count()`
+    - short form: `pl.count("party")`
+    - full form: `pl.col("party").count()`
 - aggregate the gender values groups:
-  - full form: `pl.col("gender")`
+    - full form: `pl.col("gender")`
 - get the first value of column `"last_name"` in the group:
-  - short form: `pl.first("last_name")` (not available in Rust)
-  - full form: `pl.col("last_name").first()`
+    - short form: `pl.first("last_name")` (not available in Rust)
+    - full form: `pl.col("last_name").first()`
+
+<!-- dprint-ignore-end -->
 
 Besides the aggregation, we immediately sort the result and limit to the top `5` so that
 we have a nice summary overview.

docs/user-guide/installation.md

@@ -67,107 +67,111 @@ polars = { version = "0.26.1", features = ["lazy", "temporal", "describe", "json
 
 The opt-in features are:
 
+<!-- dprint-ignore-start -->
+
 - Additional data types:
-  - `dtype-date`
-  - `dtype-datetime`
-  - `dtype-time`
-  - `dtype-duration`
-  - `dtype-i8`
-  - `dtype-i16`
-  - `dtype-u8`
-  - `dtype-u16`
-  - `dtype-categorical`
-  - `dtype-struct`
+    - `dtype-date`
+    - `dtype-datetime`
+    - `dtype-time`
+    - `dtype-duration`
+    - `dtype-i8`
+    - `dtype-i16`
+    - `dtype-u8`
+    - `dtype-u16`
+    - `dtype-categorical`
+    - `dtype-struct`
 - `lazy` - Lazy API
-  - `lazy_regex` - Use regexes in [column selection](crate::lazy::dsl::col)
-  - `dot_diagram` - Create dot diagrams from lazy logical plans.
+    - `lazy_regex` - Use regexes in [column selection](crate::lazy::dsl::col)
+    - `dot_diagram` - Create dot diagrams from lazy logical plans.
 - `sql` - Pass SQL queries to polars.
 - `streaming` - Be able to process datasets that are larger than RAM.
 - `random` - Generate arrays with randomly sampled values
 - `ndarray`- Convert from `DataFrame` to `ndarray`
 - `temporal` - Conversions between [Chrono](https://docs.rs/chrono/) and Polars for temporal data types
 - `timezones` - Activate timezone support.
 - `strings` - Extra string utilities for `Utf8Chunked`
-  - `string_pad` - `pad_start`, `pad_end`, `zfill`
-  - `string_from_radix` - `parse_int`
+    - `string_pad` - `pad_start`, `pad_end`, `zfill`
+    - `string_from_radix` - `parse_int`
 - `object` - Support for generic ChunkedArrays called `ObjectChunked<T>` (generic over `T`).
   These are downcastable from Series through the [Any](https://doc.rust-lang.org/std/any/index.html) trait.
 - Performance related:
-  - `nightly` - Several nightly only features such as SIMD and specialization.
-  - `performant` - more fast paths, slower compile times.
-  - `bigidx` - Activate this feature if you expect >> 2^32 rows. This has not been needed by anyone.
+    - `nightly` - Several nightly only features such as SIMD and specialization.
+    - `performant` - more fast paths, slower compile times.
+    - `bigidx` - Activate this feature if you expect >> 2^32 rows. This has not been needed by anyone.
     This allows polars to scale up way beyond that by using `u64` as an index.
     Polars will be a bit slower with this feature activated as many data structures
     are less cache efficient.
-  - `cse` - Activate common subplan elimination optimization
+    - `cse` - Activate common subplan elimination optimization
 - IO related:
   <!-- markdown-link-check-disable -->
-  - `serde` - Support for [serde](https://crates.io/crates/serde) serialization and deserialization.
+    - `serde` - Support for [serde](https://crates.io/crates/serde) serialization and deserialization.
     Can be used for JSON and more serde supported serialization formats.
-  - `serde-lazy` - Support for [serde](https://crates.io/crates/serde) serialization and deserialization.
+    - `serde-lazy` - Support for [serde](https://crates.io/crates/serde) serialization and deserialization.
     Can be used for JSON and more serde supported serialization formats.
   <!-- markdown-link-check-enable -->
-  - `parquet` - Read Apache Parquet format
-  - `json` - JSON serialization
-  - `ipc` - Arrow's IPC format serialization
-  - `decompress` - Automatically infer compression of csvs and decompress them.
+    - `parquet` - Read Apache Parquet format
+    - `json` - JSON serialization
+    - `ipc` - Arrow's IPC format serialization
+    - `decompress` - Automatically infer compression of csvs and decompress them.
     Supported compressions:
-    - zip
-    - gzip
+      - zip
+      - gzip
 
 - `DataFrame` operations:
-  - `dynamic_group_by` - Group by based on a time window instead of predefined keys.
+    - `dynamic_group_by` - Group by based on a time window instead of predefined keys.
     Also activates rolling window group by operations.
-  - `sort_multiple` - Allow sorting a `DataFrame` on multiple columns
-  - `rows` - Create `DataFrame` from rows and extract rows from `DataFrames`.
+    - `sort_multiple` - Allow sorting a `DataFrame` on multiple columns
+    - `rows` - Create `DataFrame` from rows and extract rows from `DataFrames`.
     And activates `pivot` and `transpose` operations
-  - `join_asof` - Join ASOF, to join on nearest keys instead of exact equality match.
-  - `cross_join` - Create the cartesian product of two DataFrames.
-  - `semi_anti_join` - SEMI and ANTI joins.
-  - `group_by_list` - Allow group by operation on keys of type List.
-  - `row_hash` - Utility to hash DataFrame rows to UInt64Chunked
-  - `diagonal_concat` - Concat diagonally thereby combining different schemas.
-  - `horizontal_concat` - Concat horizontally and extend with null values if lengths don't match
-  - `dataframe_arithmetic` - Arithmetic on (Dataframe and DataFrames) and (DataFrame on Series)
-  - `partition_by` - Split into multiple DataFrames partitioned by groups.
+    - `join_asof` - Join ASOF, to join on nearest keys instead of exact equality match.
+    - `cross_join` - Create the cartesian product of two DataFrames.
+    - `semi_anti_join` - SEMI and ANTI joins.
+    - `group_by_list` - Allow group by operation on keys of type List.
+    - `row_hash` - Utility to hash DataFrame rows to UInt64Chunked
+    - `diagonal_concat` - Concat diagonally thereby combining different schemas.
+    - `horizontal_concat` - Concat horizontally and extend with null values if lengths don't match
+    - `dataframe_arithmetic` - Arithmetic on (Dataframe and DataFrames) and (DataFrame on Series)
+    - `partition_by` - Split into multiple DataFrames partitioned by groups.
 - `Series`/`Expression` operations:
-  - `is_in` - [Check for membership in `Series`](crate::chunked_array::ops::IsIn)
-  - `zip_with` - [Zip two Series/ ChunkedArrays](crate::chunked_array::ops::ChunkZip)
-  - `round_series` - round underlying float types of `Series`.
-  - `repeat_by` - [Repeat element in an Array N times, where N is given by another array.
-  - `is_first_distinct` - Check if element is first unique value.
-  - `is_last_distinct` - Check if element is last unique value.
-  - `checked_arithmetic` - checked arithmetic/ returning `None` on invalid operations.
-  - `dot_product` - Dot/inner product on Series and Expressions.
-  - `concat_str` - Concat string data in linear time.
-  - `reinterpret` - Utility to reinterpret bits to signed/unsigned
-  - `take_opt_iter` - Take from a Series with `Iterator<Item=Option<usize>>`
-  - `mode` - [Return the most occurring value(s)](crate::chunked_array::ops::ChunkUnique::mode)
-  - `cum_agg` - cumsum, cummin, cummax aggregation.
-  - `rolling_window` - rolling window functions, like rolling_mean
-  - `interpolate` [interpolate None values](crate::chunked_array::ops::Interpolate)
-  - `extract_jsonpath` - [Run jsonpath queries on Utf8Chunked](https://goessner.net/articles/JsonPath/)
-  - `list` - List utils.
-    - `list_take` take sublist by multiple indices
-  - `rank` - Ranking algorithms.
-  - `moment` - kurtosis and skew statistics
-  - `ewma` - Exponential moving average windows
-  - `abs` - Get absolute values of Series
-  - `arange` - Range operation on Series
-  - `product` - Compute the product of a Series.
-  - `diff` - `diff` operation.
-  - `pct_change` - Compute change percentages.
-  - `unique_counts` - Count unique values in expressions.
-  - `log` - Logarithms for `Series`.
-  - `list_to_struct` - Convert `List` to `Struct` dtypes.
-  - `list_count` - Count elements in lists.
-  - `list_eval` - Apply expressions over list elements.
-  - `cumulative_eval` - Apply expressions over cumulatively increasing windows.
-  - `arg_where` - Get indices where condition holds.
-  - `search_sorted` - Find indices where elements should be inserted to maintain order.
-  - `date_offset` Add an offset to dates that take months and leap years into account.
-  - `trigonometry` Trigonometric functions.
-  - `sign` Compute the element-wise sign of a Series.
-  - `propagate_nans` NaN propagating min/max aggregations.
+    - `is_in` - [Check for membership in `Series`](crate::chunked_array::ops::IsIn)
+    - `zip_with` - [Zip two Series/ ChunkedArrays](crate::chunked_array::ops::ChunkZip)
+    - `round_series` - round underlying float types of `Series`.
+    - `repeat_by` - [Repeat element in an Array N times, where N is given by another array.
+    - `is_first_distinct` - Check if element is first unique value.
+    - `is_last_distinct` - Check if element is last unique value.
+    - `checked_arithmetic` - checked arithmetic/ returning `None` on invalid operations.
+    - `dot_product` - Dot/inner product on Series and Expressions.
+    - `concat_str` - Concat string data in linear time.
+    - `reinterpret` - Utility to reinterpret bits to signed/unsigned
+    - `take_opt_iter` - Take from a Series with `Iterator<Item=Option<usize>>`
+    - `mode` - [Return the most occurring value(s)](crate::chunked_array::ops::ChunkUnique::mode)
+    - `cum_agg` - cumsum, cummin, cummax aggregation.
+    - `rolling_window` - rolling window functions, like rolling_mean
+    - `interpolate` [interpolate None values](crate::chunked_array::ops::Interpolate)
+    - `extract_jsonpath` - [Run jsonpath queries on Utf8Chunked](https://goessner.net/articles/JsonPath/)
+    - `list` - List utils.
+      - `list_take` take sublist by multiple indices
+    - `rank` - Ranking algorithms.
+    - `moment` - kurtosis and skew statistics
+    - `ewma` - Exponential moving average windows
+    - `abs` - Get absolute values of Series
+    - `arange` - Range operation on Series
+    - `product` - Compute the product of a Series.
+    - `diff` - `diff` operation.
+    - `pct_change` - Compute change percentages.
+    - `unique_counts` - Count unique values in expressions.
+    - `log` - Logarithms for `Series`.
+    - `list_to_struct` - Convert `List` to `Struct` dtypes.
+    - `list_count` - Count elements in lists.
+    - `list_eval` - Apply expressions over list elements.
+    - `cumulative_eval` - Apply expressions over cumulatively increasing windows.
+    - `arg_where` - Get indices where condition holds.
+    - `search_sorted` - Find indices where elements should be inserted to maintain order.
+    - `date_offset` Add an offset to dates that take months and leap years into account.
+    - `trigonometry` Trigonometric functions.
+    - `sign` Compute the element-wise sign of a Series.
+    - `propagate_nans` NaN propagating min/max aggregations.
 - `DataFrame` pretty printing
-  - `fmt` - Activate DataFrame formatting
+    - `fmt` - Activate DataFrame formatting
+
+<!-- dprint-ignore-end -->