feat: Implement Altair version of grid visualization

Author: rht

mesa/experimental/components/altair.py

@@ -0,0 +1,66 @@
+import contextlib
+from typing import Optional
+
+import pandas as pd
+import solara
+
+with contextlib.suppress(ImportError):
+    import altair as alt
+
+@solara.component
+def SpaceAltair(model, agent_portrayal, dependencies: Optional[list[any]] = None):
+    space = getattr(model, "grid", None)
+    if space is None:
+        # Sometimes the space is defined as model.space instead of model.grid
+        space = model.space
+    chart = _draw_grid(space, agent_portrayal)
+    solara.FigureAltair(chart)
+
+# _draw_grid is derived from
+# https://github.com/Princeton-CDH/simulating-risk/blob/907c290e12c97b28aa9ce9c80ea7fc52a4f280ae/simulatingrisk/hawkdove/server.py#L114-L171
+# Copyright 2023 The Center for Digital Humanities of Princeton
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+def _draw_grid(space, agent_portrayal):
+    def portray(g):
+        all_agent_data = []
+        for content, (x, y) in space.coord_iter():
+            if not content:
+                continue
+            if not hasattr(content, "__iter__"):
+                # Is a single grid
+                content = [content]
+            for agent in content:
+                # use all data from agent portrayal, and add x,y coordinates
+                agent_data = agent_portrayal(agent)
+                agent_data["x"] = x
+                agent_data["y"] = y
+                all_agent_data.append(agent_data)
+        return all_agent_data
+
+    all_agent_data = portray(space)
+    df = pd.DataFrame(all_agent_data)
+    chart = (
+        alt.Chart(df)
+        .mark_point(filled=True)
+        .encode(
+            # no x-axis label
+            x=alt.X("x", axis=None),
+            # no y-axis label
+            y=alt.Y("y", axis=None),
+            size=alt.Size("size"),
+            color=alt.Color("color"),
+        )
+        # .configure_view(strokeOpacity=0)  # hide grid/chart lines
+    )
+    return chart

mesa/experimental/jupyter_viz.py

@@ -7,6 +7,7 @@
 from solara.alias import rv
 
 import mesa.experimental.components.matplotlib as components_matplotlib
+import mesa.experimental.components.altair as components_altair
 
 # Avoid interactive backend
 plt.switch_backend("agg")
@@ -74,6 +75,10 @@ def ColorCard(color, layout_type):
                     components_matplotlib.SpaceMatplotlib(
                         model, agent_portrayal, dependencies=[current_step.value]
                     )
+                elif space_drawer == "altair":
+                    components_altair.SpaceAltair(
+                        model, agent_portrayal, dependencies=[current_step.value]
+                    )
                 elif space_drawer:
                     # if specified, draw agent space with an alternate renderer
                     space_drawer(model, agent_portrayal)