changelog and docs

Author: nicolaskruchten

CHANGELOG.md

@@ -11,7 +11,9 @@ This project adheres to [Semantic Versioning](http://semver.org/).
 ## [4.13.0] - UNRELEASED
 
 ### Added
-
+- `px.choropleth`, `px.scatter_geo` and `px.line_geo` now support faceting [2923](https://github.com/plotly/plotly.py/pull/2923)
+- `px.scatter_geo` and `px.line_geo` now support `geojson`/`featureidkey` input [2923](https://github.com/plotly/plotly.py/pull/2923)
+- `px.scatter_geo` now supports `symbol` [2923](https://github.com/plotly/plotly.py/pull/2923)
 - `go.Figure` now has a `set_subplots` method to set subplots on an already
   existing figure. [2866](https://github.com/plotly/plotly.py/pull/2866)
 - Added `Turbo` colorscale and fancier swatch display functions
@@ -37,6 +39,7 @@ This project adheres to [Semantic Versioning](http://semver.org/).
 
 ### Fixed
 
+- `px.scatter_geo` support for `text` is fixed [2923](https://github.com/plotly/plotly.py/pull/2923)
 - the `x` and `y` parameters of `px.imshow` are now used also in the case where
   an Image trace is used (for RGB data or with `binary_string=True`). However,
   only numerical values are accepted (while the Heatmap trace allows date or

doc/python/facet-plots.md

@@ -83,6 +83,25 @@ fig = px.histogram(df, x="total_bill", y="tip", color="sex", facet_row="time", f
 fig.show()
 ```
 
+### Choropleth Column Facets
+
+*new in version 4.13*
+
+```python
+import plotly.express as px
+
+df = px.data.election()
+df = df.melt(id_vars="district", value_vars=["Coderre", "Bergeron", "Joly"],
+            var_name="candidate", value_name="votes")
+geojson = px.data.election_geojson()
+
+fig = px.choropleth(df, geojson=geojson, color="votes", facet_col="candidate",
+                    locations="district", featureidkey="properties.district"
+                   )
+fig.update_geos(fitbounds="locations", visible=False, projection_type="mercator")
+fig.show()
+```
+
 ### Adding Lines and Rectangles to Facet Plots
 
 *introduced in plotly 4.12*
@@ -133,7 +152,8 @@ trace.update(legendgroup="trendline", showlegend=False)
 fig.add_trace(trace, row="all", col="all", exclude_empty_subplots=True)
 
 # set only the last trace added to appear in the legend
-fig.data[-1].update(showlegend=True)
+# `selector=-1` introduced in plotly v4.13
+fig.update_traces(selector=-1, showlegend=True)
 fig.show()
 ```