Add columnar APIs to the Python docs

rerun_py/docs/gen_common_index.py

@@ -113,6 +113,17 @@ class Section:
             "reset_time",
         ],
     ),
+    Section(
+        title="Columnar API",
+        func_list=[
+            "send_columns",
+        ],
+        class_list=[
+            "TimeNanosColumn",
+            "TimeSecondsColumn",
+            "TimeSequenceColumn",
+        ],
+    ),
     ################################################################################
     # These sections don't have tables, but generate pages containing all the archetypes, components, datatypes
     Section(

rerun_py/rerun_sdk/rerun/__init__.py

@@ -37,6 +37,12 @@
     log_file_from_path as log_file_from_path,
     new_entity_path as new_entity_path,
 )
+from ._send_columns import (
+    TimeNanosColumn as TimeNanosColumn,
+    TimeSecondsColumn as TimeSecondsColumn,
+    TimeSequenceColumn as TimeSequenceColumn,
+    send_columns as send_columns,
+)
 from .any_value import (
     AnyValues as AnyValues,
 )
@@ -139,12 +145,6 @@
     script_setup as script_setup,
     script_teardown as script_teardown,
 )
-from .send_columns import (
-    TimeNanosColumn as TimeNanosColumn,
-    TimeSecondsColumn as TimeSecondsColumn,
-    TimeSequenceColumn as TimeSequenceColumn,
-    send_columns as send_columns,
-)
 from .sinks import (
     connect as connect,
     disconnect as disconnect,

rerun_py/rerun_sdk/rerun/send_columns.py → rerun_py/rerun_sdk/rerun/_send_columns.py

@@ -27,14 +27,26 @@ class TimeSequenceColumn(TimeColumnLike):
     """
     A column of time values that are represented as an integer sequence.
 
-    Equivalent to `rr.set_time_sequence`.
+    Columnar equivalent to [`rerun.set_time_sequence`][rerun.set_time_sequence].
     """
 
     def __init__(self, timeline: str, times: Iterable[int]):
+        """
+        Create a column of integer sequence time values.
+
+        Parameters
+        ----------
+        timeline:
+            The name of the timeline.
+        times:
+            An iterable of integer time values.
+
+        """
         self.timeline = timeline
         self.times = times
 
     def timeline_name(self) -> str:
+        """Returns the name of the timeline."""
         return self.timeline
 
     def as_arrow_array(self) -> pa.Array:
@@ -43,16 +55,28 @@ def as_arrow_array(self) -> pa.Array:
 
 class TimeSecondsColumn(TimeColumnLike):
     """
-    A column of time values that are represented as an floating point seconds.
+    A column of time values that are represented as floating point seconds.
 
-    Equivalent to `rr.set_time_seconds`.
+    Columnar equivalent to [`rerun.set_time_seconds`][rerun.set_time_seconds].
     """
 
     def __init__(self, timeline: str, times: Iterable[float]):
+        """
+        Create a column of floating point seconds time values.
+
+        Parameters
+        ----------
+        timeline:
+            The name of the timeline.
+        times:
+            An iterable of floating point second time values.
+
+        """
         self.timeline = timeline
         self.times = times
 
     def timeline_name(self) -> str:
+        """Returns the name of the timeline."""
         return self.timeline
 
     def as_arrow_array(self) -> pa.Array:
@@ -61,16 +85,28 @@ def as_arrow_array(self) -> pa.Array:
 
 class TimeNanosColumn(TimeColumnLike):
     """
-    A column of time values that are represented as an integer nanoseconds.
+    A column of time values that are represented as integer nanoseconds.
 
-    Equivalent to `rr.set_time_nanos`.
+    Columnar equivalent to [`rerun.set_time_nanos`][rerun.set_time_nanos].
     """
 
     def __init__(self, timeline: str, times: Iterable[int]):
+        """
+        Create a column of integer nanoseconds time values.
+
+        Parameters
+        ----------
+        timeline:
+            The name of the timeline.
+        times:
+            An iterable of integer nanosecond time values.
+
+        """
         self.timeline = timeline
         self.times = times
 
     def timeline_name(self) -> str:
+        """Returns the name of the timeline."""
         return self.timeline
 
     def as_arrow_array(self) -> pa.Array:
@@ -89,7 +125,7 @@ def send_columns(
     strict: bool | None = None,
 ) -> None:
     r"""
-    Directly log a columns of data to Rerun.
+    Send columnar data to Rerun.
 
     Unlike the regular `log` API, which is row-oriented, this API lets you submit the data
     in a columnar form. Each `TimeColumnLike` and `ComponentColumnLike` object represents a column