Update plotly express documentation to communicate faceting support for all figure factory functions

Author: inkychris

doc/python/plotly-express.md

@@ -66,7 +66,7 @@ The Plotly Express API in general offers the following features:
 * **Automatic Hover Labels**: PX functions populate the hover-label using the labels mentioned above, and provide [extra control with the `hover_name` and `hover_data` arguments](/python/hover-text-and-formatting/).
 * **Styling Control**: PX functions [read styling information from the default figure template](/python/styling-plotly-express/), and support commonly-needed [cosmetic controls like `category_orders` and `color_discrete_map`](/python/styling-plotly-express/) to precisely control categorical variables.
 * **Uniform Color Handling**: PX functions automatically switch between [continuous](/python/colorscales/) and [categorical color](/python/discrete-color/) based on the input type.
-* **Faceting**: the 2D-cartesian plotting functions support [row, column and wrapped facetting with `facet_row`, `facet_col` and `facet_col_wrap` arguments](/python/facet-plots/).
+* **Faceting**: Plotting functions support [row, column and wrapped facetting with `facet_row`, `facet_col` and `facet_col_wrap` arguments](/python/facet-plots/).
 * **Marginal Plots**: the 2D-cartesian plotting functions support [marginal distribution plots](/python/marginal-plots/) with the `marginal`, `marginal_x` and `marginal_y` arguments.
 * **A Pandas backend**: the 2D-cartesian plotting functions are available as [a Pandas plotting backend](/python/pandas-backend/) so you can call them via `df.plot()`.
 * **Trendlines**: `px.scatter` supports [built-in trendlines with accessible model output](/python/linear-fits/).