FIX: mirror fixes to larray-editor changelog rendering issues

also includes style improvements

Author: gdementen

doc/source/changes/editor/version_0_35.rst.inc

@@ -3,100 +3,110 @@
 New features
 ^^^^^^^^^^^^
 
-* allow displaying *many* more different kinds of objects, and not only arrays
-  from larray. One specific goal when developing this new feature was speed.
+* allow displaying **many** more different kinds of objects, and not only arrays
+  from LArray. One specific goal when developing this new feature was speed.
   Most of these viewers should be fast (when at all possible), even on (very)
   large datasets. We only support displaying (not editing) all the new types.
 
   The following types are supported so far (but adding more is relatively easy):
 
-  * Python builtin objects:
-    - tuple (including named tuple), list (sequences), dict (mappings),
-      dict views, memoryview and array
+  * Python **builtin** objects:
+
+    - ``tuple`` (including named tuple), ``list`` (sequences), ``dict``
+      (mappings), dict views, ``memoryview`` and ``array``
     - text and binary files
-  * Python stdlib objects:
-    - pathlib.Path
+
+  * Python **standard library** objects:
+
+    - ``pathlib.Path``
+
       * if the path points to a directory, it will display the content of the
         directory
       * if the path points to a file, it will try to display it, if we
         implemented support for that file type (see below for the list
         of supported types).
-    - sqlite3.Connection (and their tables)
-    - pstats.Stats (results of Python's profiler)
-    - zipfile.ZipFile and zipfile.Path
-  * new objects from LArray: Axis, Excel Workbook (what you get from
-    larray.open_excel()), Sheets and Range
-  * IODE "collections" objects: Comments, Equations, Identities, Lists, Tables,
-      Scalars and Variables, as well as Table objects
-  * Pandas: DataFrame, Series and DataFrameGroupBy
-  * Polars: DataFrame and LazyFrame
-  * Numpy: ndarray
-  * PyArrow: Array, Table, RecordBatchFileReader (reader object for feather
-    files) and ParquetFile
-  * Narwhals: DataFrame and LazyFrame
-  * PyTables: File, Group (with special support for Pandas DataFrames written
-    in HDF files), Array and Table
-  * IBIS: Table
-  * DuckDB: DuckDBPyConnection and DuckDBPyRelation (what you receive from any
-    query)
-
-  File types (extensions) currently supported:
-    - Iode files: .ac, .ae, .ai, .al, .as, .at, .av, .cmt, .eqs, .idt, .lst,
-                  .scl, .tbl, .var
-    - Text files: .bat, .c, .cfg, .cpp, .h, .htm, .html, .ini, .log, .md,
-                  .py, .pyx, .pxd, .rep, .rst, .sh, .sql, .toml, .txt, .wsgi,
-                  .yaml, .yml
-    - HDF5 files: .h5, .hdf
-    - Parquet files: .parquet
-    - Stata files: .dta
-    - Feather files: .feather
-    - SAS files: .sas7bdat
-      It is limited to the first few thousand rows (the exact number depends on
-      the number of columns), because reading later rows get increasingly slow,
-      to the point of being unusable.
-    - CSV files: .csv
-    - Gzipped CSV files: .csv.gz
-    - Excel files: .xls, .xlsx
-    - Zip files: .zip
-    - DuckDB files: .ddb, .duckdb
-
-* the editor now features a new "File Explorer" (accessible from the "File"
+    - ``sqlite3.Connection`` (and their tables)
+    - ``pstats.Stats`` (results of Python's profiler)
+    - ``zipfile.ZipFile`` and ``zipfile.Path``
+
+  * new objects from **LArray**: ``Axis``, Excel ``Workbook`` (what you get from
+    larray.open_excel()), ``Sheet`` and ``Range``
+  * **IODE** "collections" objects: ``Comments``, ``Equations``, ``Identities``,
+    ``Lists``, ``Tables``, ``Scalars`` and ``Variables``, as well as ``Table``
+    objects
+  * **Pandas** objects: ``DataFrame``, ``Series`` and ``DataFrameGroupBy``
+  * **Polars** objects: ``DataFrame`` and ``LazyFrame``
+  * **Numpy** objects: ``ndarray``
+  * **PyArrow** objects: ``Array``, ``Table``, ``RecordBatchFileReader``
+    (reader object for feather files) and ``ParquetFile``
+  * **Narwhals** objects: ``DataFrame`` and ``LazyFrame``
+  * **PyTables** objects: ``File``, ``Group`` (with special support for Pandas
+    DataFrames written in HDF files), ``Array`` and ``Table``
+  * **IBIS** objects: ``Table``
+  * **DuckDB** objects: ``DuckDBPyConnection`` and ``DuckDBPyRelation`` (what
+    you receive from any query)
+
+File types (extensions) currently supported:
+
+  - **IODE** files: .ac, .ae, .ai, .al, .as, .at, .av, .cmt, .eqs, .idt, .lst,
+    .scl, .tbl, .var
+  - **Text** files: .bat, .c, .cfg, .cpp, .h, .htm, .html, .ini, .log, .md,
+    .py, .pyx, .pxd, .rep, .rst, .sh, .sql, .toml, .txt, .wsgi, .yaml, .yml
+  - **HDF5** files: .h5, .hdf
+  - **Parquet** files: .parquet
+  - **Stata** files: .dta
+  - **Feather** files: .feather
+  - **SAS** files: .sas7bdat
+    It is limited to the first few thousand rows (the exact number depends on
+    the number of columns), because reading later rows get increasingly slow,
+    to the point of being unusable.
+  - **CSV** files: .csv
+  - Gzipped CSV files: .csv.gz
+  - **Excel** files: .xls, .xlsx
+  - **Zip** files: .zip
+  - **DuckDB** files: .ddb, .duckdb
+
+* the editor now features a new "**File Explorer**" (accessible from the "File"
   menu) so that one can more easily make use of all the above file viewers.
 
-* added a new SQL Console (next to the iPython console) for querying Polars
+* added a new **SQL Console** (next to the iPython console) for querying Polars
   structures (DataFrame, LazyFrame and Series) as SQL tables. The console
   features auto-completion for SQL keywords, table names and column names
   and stores the last 1000 queries (even across sessions). Recalling a query
   from history is done with the up and down arrows and like in the iPython
   console, it searches through history with the current command as prefix.
   This console will only be present if the polars module is installed.
 
-* allow sorting some objects by column by pressing on an horizontal label.
+* allow **sorting** some objects by column by pressing on an horizontal label.
   This is currently implemented for the following objects:
+
     - python built-in sequences (e.g. tuples and lists)
     - python pathlib.Path objects representing directories
     - LArray (only for 2D arrays)
-    - Pandas DataFrame
-    - Polars DataFrame and LazyFrame
-    - Narwhals LazyFrame
+    - Pandas ``DataFrame``
+    - Polars ``DataFrame and ``LazyFrame``
+    - Narwhals ``LazyFrame``
     - SQLite tables
     - DuckDB relations
 
-* allow filtering some objects by pressing on an horizontal label.
+* allow **filtering** some objects by pressing on an horizontal label.
   This is currently implemented for the following objects:
-    - Pandas DataFrame
-    - Polars DataFrame and LazyFrame
+
+    - Pandas ``DataFrame``
+    - Polars ``DataFrame`` and ``LazyFrame``
     - DuckDB relations
 
 * allow comparing arrays/sessions with different axes in :py:obj:`compare()`.
   The function gained ``align`` and ``fill_value`` arguments and the interface
   has a new combobox to change the alignment method during the comparison:
-      - outer: will use a label if it is in any array (ordered like the first array).
-               This is the default as it results in no information loss.
-      - inner: will use a label if it is in all arrays (ordered like the first array).
-      - left: will use the first array axis labels.
-      - right: will use the last array axis labels.
-      - exact: raise an error when axes are not equal.
+
+      - *outer*: will use a label if it is in any array (ordered like the first array).
+        This is the default as it results in no information loss.
+      - *inner*: will use a label if it is in all arrays (ordered like the first array).
+      - *left*: will use the first array axis labels.
+      - *right*: will use the last array axis labels.
+      - *exact*: raise an error when axes are not equal.
+
   Closes :editor_issue:`214` and :editor_issue:`251`.
 
 * double-clicking on a name in the variable list will open it in a new window