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

Author: LiamConnors

doc/python/performance.md

@@ -127,7 +127,7 @@ Each `plotly` trace type is rendered with either SVG or WebGL. The following tra
 
 ### WebGL Limitations and Tradeoffs
 
-WebGL is a powerful technology for accelerating computation but comes with some strict limitations:
+WebGL is a powerful technology for accelerating rendering but comes with some strict limitations:
 
 1. GPU requirement: WebGL is a GPU (graphics card) technology and therefore requires specific hardware which is available in most but not all cases and is supported by most but not all browsers.
 2. Rasterization: WebGL-rendered data is drawn as a grid of pixels rather than as individual shapes, so can appear pixelated or fuzz in certain cases, and when exported to static file formats will appear pixelated on zoom. In addition, text rendering will differ between SVG and WebGL-powered traces.

doc/python/px-arguments.md

@@ -119,7 +119,7 @@ Many more examples of wide-form and messy data input can be found in our [detail
 
 The first argument of every `px` function is `data_frame`. If you provide a dataframe as a `px` function's first argument, you can then specify column names as strings from the dataframe as other arguments.
 
-### Supported Dataframes
+### Supported DataFrame Types
 
 `px` functions natively support pandas, Polars, and PyArrow dataframes. `px` uses [Narwhals](https://narwhals-dev.github.io/narwhals/) to provide this native dataframe support. Other types of dataframes that are currently supported by Narwhals, for example cuDF and Modin, may also work with `px`.
 
@@ -233,7 +233,7 @@ fig.show()
 
 ### Passing dictionaries or array-likes as the data_frame argument
 
-The column-based argument `data_frame` can also be passed with a `dict` or `array`. Using a dictionary can be a convenient way to pass column names used in axis titles, legend entries and hovers without creating a dataframe.
+The `data_frame` argument can also accept a `dict` or `array` in addition to DataFrame objects. Using a dictionary can be a convenient way to pass column names used in axis titles, legend entries and hovers without creating a dataframe.
 
 ```python
 import plotly.express as px