Handle a few errors generated by doc site builder

Author: timsaucer

docs/source/_static/images/jupyter_lab_df_view.png renamed to docs/source/images/jupyter_lab_df_view.png

@@ -26,9 +26,7 @@ to form a single summary value. For performing an aggregation, DataFusion provid
 
 .. ipython:: python
 
-    from datafusion import SessionContext
-    from datafusion import col, lit
-    from datafusion import functions as f
+    from datafusion import SessionContext, col, lit, functions as f
 
     ctx = SessionContext()
     df = ctx.read_csv("pokemon.csv")

docs/source/user-guide/common-operations/aggregations.rst

@@ -72,6 +72,6 @@ display that may be easier to read.
 
     display(df)
 
-.. image:: ../../_static/images/jupyter_lab_df_view.png
+.. image:: ../images/jupyter_lab_df_view.png
     :width: 800
     :alt: Rendered table showing Pokemon DataFrame

docs/source/user-guide/introduction.rst

@@ -473,7 +473,7 @@ def join_on(
         *on_exprs: Expr,
         how: Literal["inner", "left", "right", "full", "semi", "anti"] = "inner",
     ) -> DataFrame:
-        """Join two :py:class:`DataFrame`using the specified expressions.
+        """Join two :py:class:`DataFrame` using the specified expressions.
 
         On expressions are used to support in-equality predicates. Equality
         predicates are correctly optimized

python/datafusion/dataframe.py

@@ -42,7 +42,7 @@ class LogicalPlan:
     (table) with a potentially different schema. Plans form a dataflow tree
     where data flows from leaves up to the root to produce the query result.
 
-    `LogicalPlan`s can be created by the SQL query planner, the DataFrame API,
+    A `LogicalPlan` can be created by the SQL query planner, the DataFrame API,
     or programmatically (for example custom query languages).
     """
 
@@ -107,7 +107,7 @@ def __init__(self, plan: df_internal.ExecutionPlan) -> None:
         self._raw_plan = plan
 
     def children(self) -> List[ExecutionPlan]:
-        """Get a list of children `ExecutionPlan`s that act as inputs to this plan.
+        """Get a list of children `ExecutionPlan` that act as inputs to this plan.
 
         The returned list will be empty for leaf nodes such as scans, will contain a
         single value for unary nodes, or two values for binary nodes (such as joins).