enable faceting for geo, geojson everywhere possible, text/symbols fo…

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 as well as `fitbounds` and `basemap_visible` [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 +83,26 @@ 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",
+                    projection="mercator"
+                   )
+fig.update_geos(fitbounds="locations", visible=False)
+fig.show()
+```
+
 ### Adding Lines and Rectangles to Facet Plots
 
 *introduced in plotly 4.12*
@@ -133,7 +153,8 @@ 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()
 ```
 

packages/python/plotly/plotly/express/_chart_types.py

@@ -940,6 +940,11 @@ def choropleth(
     geojson=None,
     featureidkey=None,
     color=None,
+    facet_row=None,
+    facet_col=None,
+    facet_col_wrap=0,
+    facet_row_spacing=None,
+    facet_col_spacing=None,
     hover_name=None,
     hover_data=None,
     custom_data=None,
@@ -955,6 +960,8 @@ def choropleth(
     projection=None,
     scope=None,
     center=None,
+    fitbounds=None,
+    basemap_visible=None,
     title=None,
     template=None,
     width=None,
@@ -967,13 +974,7 @@ def choropleth(
     return make_figure(
         args=locals(),
         constructor=go.Choropleth,
-        trace_patch=dict(
-            locationmode=locationmode,
-            featureidkey=featureidkey,
-            geojson=geojson
-            if not hasattr(geojson, "__geo_interface__")  # for geopandas
-            else geojson.__geo_interface__,
-        ),
+        trace_patch=dict(locationmode=locationmode),
     )
 
 
@@ -986,8 +987,16 @@ def scatter_geo(
     lon=None,
     locations=None,
     locationmode=None,
+    geojson=None,
+    featureidkey=None,
     color=None,
     text=None,
+    symbol=None,
+    facet_row=None,
+    facet_col=None,
+    facet_col_wrap=0,
+    facet_row_spacing=None,
+    facet_col_spacing=None,
     hover_name=None,
     hover_data=None,
     custom_data=None,
@@ -1001,11 +1010,15 @@ def scatter_geo(
     color_continuous_scale=None,
     range_color=None,
     color_continuous_midpoint=None,
+    symbol_sequence=None,
+    symbol_map={},
     opacity=None,
     size_max=None,
     projection=None,
     scope=None,
     center=None,
+    fitbounds=None,
+    basemap_visible=None,
     title=None,
     template=None,
     width=None,
@@ -1031,9 +1044,16 @@ def line_geo(
     lon=None,
     locations=None,
     locationmode=None,
+    geojson=None,
+    featureidkey=None,
     color=None,
     line_dash=None,
     text=None,
+    facet_row=None,
+    facet_col=None,
+    facet_col_wrap=0,
+    facet_row_spacing=None,
+    facet_col_spacing=None,
     hover_name=None,
     hover_data=None,
     custom_data=None,
@@ -1049,6 +1069,8 @@ def line_geo(
     projection=None,
     scope=None,
     center=None,
+    fitbounds=None,
+    basemap_visible=None,
     title=None,
     template=None,
     width=None,
@@ -1138,16 +1160,7 @@ def choropleth_mapbox(
     In a Mapbox choropleth map, each row of `data_frame` is represented by a
     colored region on a Mapbox map.
     """
-    return make_figure(
-        args=locals(),
-        constructor=go.Choroplethmapbox,
-        trace_patch=dict(
-            featureidkey=featureidkey,
-            geojson=geojson
-            if not hasattr(geojson, "__geo_interface__")  # for geopandas
-            else geojson.__geo_interface__,
-        ),
-    )
+    return make_figure(args=locals(), constructor=go.Choroplethmapbox)
 
 
 choropleth_mapbox.__doc__ = make_docstring(choropleth_mapbox)

packages/python/plotly/plotly/express/_core.py

@@ -616,33 +616,27 @@ def configure_cartesian_axes(args, fig, orders):
     if "is_timeline" in args:
         fig.update_xaxes(type="date")
 
-    return fig.layout
-
 
 def configure_ternary_axes(args, fig, orders):
-    fig.update_layout(
-        ternary=dict(
-            aaxis=dict(title_text=get_label(args, args["a"])),
-            baxis=dict(title_text=get_label(args, args["b"])),
-            caxis=dict(title_text=get_label(args, args["c"])),
-        )
+    fig.update_ternaries(
+        aaxis=dict(title_text=get_label(args, args["a"])),
+        baxis=dict(title_text=get_label(args, args["b"])),
+        caxis=dict(title_text=get_label(args, args["c"])),
     )
 
 
 def configure_polar_axes(args, fig, orders):
-    layout = dict(
-        polar=dict(
-            angularaxis=dict(direction=args["direction"], rotation=args["start_angle"]),
-            radialaxis=dict(),
-        )
+    patch = dict(
+        angularaxis=dict(direction=args["direction"], rotation=args["start_angle"]),
+        radialaxis=dict(),
     )
 
     for var, axis in [("r", "radialaxis"), ("theta", "angularaxis")]:
         if args[var] in orders:
-            layout["polar"][axis]["categoryorder"] = "array"
-            layout["polar"][axis]["categoryarray"] = orders[args[var]]
+            patch[axis]["categoryorder"] = "array"
+            patch[axis]["categoryarray"] = orders[args[var]]
 
-    radialaxis = layout["polar"]["radialaxis"]
+    radialaxis = patch["radialaxis"]
     if args["log_r"]:
         radialaxis["type"] = "log"
         if args["range_r"]:
@@ -652,21 +646,19 @@ def configure_polar_axes(args, fig, orders):
             radialaxis["range"] = args["range_r"]
 
     if args["range_theta"]:
-        layout["polar"]["sector"] = args["range_theta"]
-    fig.update(layout=layout)
+        patch["sector"] = args["range_theta"]
+    fig.update_polars(patch)
 
 
 def configure_3d_axes(args, fig, orders):
-    layout = dict(
-        scene=dict(
-            xaxis=dict(title_text=get_label(args, args["x"])),
-            yaxis=dict(title_text=get_label(args, args["y"])),
-            zaxis=dict(title_text=get_label(args, args["z"])),
-        )
+    patch = dict(
+        xaxis=dict(title_text=get_label(args, args["x"])),
+        yaxis=dict(title_text=get_label(args, args["y"])),
+        zaxis=dict(title_text=get_label(args, args["z"])),
     )
 
     for letter in ["x", "y", "z"]:
-        axis = layout["scene"][letter + "axis"]
+        axis = patch[letter + "axis"]
         if args["log_" + letter]:
             axis["type"] = "log"
             if args["range_" + letter]:
@@ -677,7 +669,7 @@ def configure_3d_axes(args, fig, orders):
         if args[letter] in orders:
             axis["categoryorder"] = "array"
             axis["categoryarray"] = orders[args[letter]]
-    fig.update(layout=layout)
+    fig.update_scenes(patch)
 
 
 def configure_mapbox(args, fig, orders):
@@ -687,23 +679,21 @@ def configure_mapbox(args, fig, orders):
             lat=args["data_frame"][args["lat"]].mean(),
             lon=args["data_frame"][args["lon"]].mean(),
         )
-    fig.update_layout(
-        mapbox=dict(
-            accesstoken=MAPBOX_TOKEN,
-            center=center,
-            zoom=args["zoom"],
-            style=args["mapbox_style"],
-        )
+    fig.update_mapboxes(
+        accesstoken=MAPBOX_TOKEN,
+        center=center,
+        zoom=args["zoom"],
+        style=args["mapbox_style"],
     )
 
 
 def configure_geo(args, fig, orders):
-    fig.update_layout(
-        geo=dict(
-            center=args["center"],
-            scope=args["scope"],
-            projection=dict(type=args["projection"]),
-        )
+    fig.update_geos(
+        center=args["center"],
+        scope=args["scope"],
+        fitbounds=args["fitbounds"],
+        visible=args["basemap_visible"],
+        projection=dict(type=args["projection"]),
     )
 
 
@@ -1750,6 +1740,14 @@ def infer_config(args, constructor, trace_patch, layout_patch):
     if "line_shape" in args:
         trace_patch["line"] = dict(shape=args["line_shape"])
 
+    if "geojson" in args:
+        trace_patch["featureidkey"] = args["featureidkey"]
+        trace_patch["geojson"] = (
+            args["geojson"]
+            if not hasattr(args["geojson"], "__geo_interface__")  # for geopandas
+            else args["geojson"].__geo_interface__
+        )
+
     # Compute marginal attribute
     if "marginal" in args:
         position = "marginal_x" if args["orientation"] == "v" else "marginal_y"
@@ -2062,20 +2060,12 @@ def make_figure(args, constructor, trace_patch=None, layout_patch=None):
 
 def init_figure(args, subplot_type, frame_list, nrows, ncols, col_labels, row_labels):
     # Build subplot specs
-    specs = [[{}] * ncols for _ in range(nrows)]
-    for frame in frame_list:
-        for trace in frame["data"]:
-            row0 = trace._subplot_row - 1
-            col0 = trace._subplot_col - 1
-            if isinstance(trace, go.Splom):
-                # Splom not compatible with make_subplots, treat as domain
-                specs[row0][col0] = {"type": "domain"}
-            else:
-                specs[row0][col0] = {"type": trace.type}
+    specs = [[dict(type=subplot_type or "domain")] * ncols for _ in range(nrows)]
 
     # Default row/column widths uniform
     column_widths = [1.0] * ncols
     row_heights = [1.0] * nrows
+    facet_col_wrap = args.get("facet_col_wrap", 0)
 
     # Build column_widths/row_heights
     if subplot_type == "xy":
@@ -2087,7 +2077,7 @@ def init_figure(args, subplot_type, frame_list, nrows, ncols, col_labels, row_la
 
             row_heights = [main_size] * (nrows - 1) + [1 - main_size]
             vertical_spacing = 0.01
-        elif args.get("facet_col_wrap", 0):
+        elif facet_col_wrap:
             vertical_spacing = args.get("facet_row_spacing", None) or 0.07
         else:
             vertical_spacing = args.get("facet_row_spacing", None) or 0.03
@@ -2108,10 +2098,12 @@ def init_figure(args, subplot_type, frame_list, nrows, ncols, col_labels, row_la
         #
         # We can customize subplot spacing per type once we enable faceting
         # for all plot types
-        vertical_spacing = 0.1
-        horizontal_spacing = 0.1
+        if facet_col_wrap:
+            vertical_spacing = args.get("facet_row_spacing", None) or 0.07
+        else:
+            vertical_spacing = args.get("facet_row_spacing", None) or 0.03
+        horizontal_spacing = args.get("facet_col_spacing", None) or 0.02
 
-    facet_col_wrap = args.get("facet_col_wrap", 0)
     if facet_col_wrap:
         subplot_labels = [None] * nrows * ncols
         while len(col_labels) < nrows * ncols:

packages/python/plotly/plotly/express/_doc.py

@@ -475,9 +475,11 @@
         "If `True`, an extra line segment is drawn between the first and last point.",
     ],
     line_shape=["str (default `'linear'`)", "One of `'linear'` or `'spline'`."],
+    fitbounds=["str (default `False`).", "One of `False`, `locations` or `geojson`."],
+    basemap_visible=["bool", "Force the basemap visibility."],
     scope=[
         "str (default `'world'`).",
-        "One of `'world'`, `'usa'`, `'europe'`, `'asia'`, `'africa'`, `'north america'`, or `'south america'`)"
+        "One of `'world'`, `'usa'`, `'europe'`, `'asia'`, `'africa'`, `'north america'`, or `'south america'`"
         "Default is `'world'` unless `projection` is set to `'albers usa'`, which forces `'usa'`.",
     ],
     projection=[