Merge branch 'version-6-migration' of https://github.com/plotly/plotly.py into version-6-migration

Author: LiamConnors

doc/python/performance.md

@@ -36,7 +36,7 @@ jupyter:
     thumbnail: thumbnail/webgl.jpg
 ---
 
-## DataFrames Types
+## DataFrame Types
 
 *New in Plotly.py version 6*
 
@@ -46,9 +46,9 @@ Plotly Express natively supports [pandas, Polars, PyArrow, and Modin dataframes]
 
 *New in Plotly.py version 6*
 
-You can improve the performance of generating Plotly figures that use a large number of data points by using NumPy arrays and other objects that Plotly can convert to NumPy arrays, such as Pandas and Polars Series.
+You can improve the performance of generating Plotly figures that use a large number of data points by passing data as NumPy arrays, or in a format that Plotly can convert easily to NumPy arrays, such as Pandas and Polars Series or DataFrames. These formats will usually show better performance than passing data as a Python list.
 
-Plotly.py uses Plotly.js for rendering, which supports typed arrays. In Plotly.py, NumPy array and NumPy-convertible arrays are base64 encoded before being passed to Plotly.js for rendering.
+Plotly.py uses Plotly.js for rendering, which supports typed arrays. In Plotly.py, NumPy arrays and NumPy-convertible arrays are base64 encoded before being passed to Plotly.js for rendering.
 
 ### Arrays and Data Types Supported