minor fix

Author: wjm41

examples/pose_centroids_molplotly.ipynb

@@ -614,6 +614,30 @@
           20.56523380975767
          ],
          "yaxis": "y"
+        },
+        {
+         "marker": {
+          "color": "red",
+          "size": 12,
+          "symbol": "x"
+         },
+         "mode": "markers",
+         "showlegend": false,
+         "type": "scatter",
+         "x": [
+          20.710113587648642,
+          4.312267729434556,
+          18.935473315914678,
+          17.68965247025577,
+          20.61053154671133
+         ],
+         "y": [
+          20.431212351814835,
+          4.189062767055896,
+          18.95856209889753,
+          17.674840683395807,
+          20.55944905349298
+         ]
         }
        ],
        "layout": {
@@ -1473,7 +1497,7 @@
     }
    ],
    "source": [
-    "import plotly.express as px\n",
+    "import plotly.graph_objects as go\n",
     "\n",
     "rmsd_df['pose_index'] = range(1, len(renamed_poses)+1)\n",
     "rmsd_df['cluster'] = kmeans.labels_\n",
@@ -1490,14 +1514,25 @@
     "                labels={'1':'RMSD to pose 1',\n",
     "                        '2':'RMSD to pose 2',}\n",
     "                )\n",
+    "scatter_fig.add_trace(\n",
+    "        go.Scatter(\n",
+    "            x = kmeans.cluster_centers_[:,0],\n",
+    "            y = kmeans.cluster_centers_[:,1],\n",
+    "            mode='markers',\n",
+    "            marker=dict(color=\"red\", \n",
+    "                        symbol='x',\n",
+    "                        size=10),\n",
+    "            showlegend=False,))\n",
     "scatter_fig.update_traces(marker=dict(size=12))\n"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Adding `molplotly` and specifying `mol_col` allows the 3D coordinates of the pose to be shown on mouseover!"
+    "Adding `molplotly` and specifying `mol_col` allows the 3D coordinates of the pose to be shown on mouseover!\n",
+    "\n",
+    "Unfortunately there are issues with handling additional non-molecular traces in `molplotly` so we'll have to re-create the scatter plot without the centroids."
    ]
   },
   {
@@ -1520,7 +1555,7 @@
        "        "
       ],
       "text/plain": [
-       "<IPython.lib.display.IFrame at 0x13733e8c0>"
+       "<IPython.lib.display.IFrame at 0x139627d30>"
       ]
      },
      "metadata": {},
@@ -1532,6 +1567,20 @@
     "\n",
     "rmsd_df['mol'] = renamed_poses \n",
     "\n",
+    "scatter_fig = px.scatter(rmsd_df, \n",
+    "                x=\"1\", \n",
+    "                y=\"2\",\n",
+    "                color='cluster',\n",
+    "                hover_name='pose_index',\n",
+    "                width=1000,\n",
+    "                height=800,\n",
+    "                title='Clustering of ligand poses',\n",
+    "                labels={'1':'RMSD to pose 1',\n",
+    "                        '2':'RMSD to pose 2',}\n",
+    "                )\n",
+    "\n",
+    "scatter_fig.update_traces(marker=dict(size=12))\n",
+    "\n",
     "app_clusters = molplotly.add_molecules(\n",
     "    fig=scatter_fig,\n",
     "    df=rmsd_df,\n",
@@ -1553,7 +1602,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -1571,7 +1620,7 @@
        "        "
       ],
       "text/plain": [
-       "<IPython.lib.display.IFrame at 0x13733f820>"
+       "<IPython.lib.display.IFrame at 0x13969be50>"
       ]
      },
      "metadata": {},

molplotly/main.py

@@ -55,9 +55,10 @@ def find_grouping(
 
     if fig.data[0].hovertemplate is not None:
         col_names = re.findall(r"(.*?)=(?!%).*?<.*?>", fig.data[0].hovertemplate)
+        col_names = [re.sub(r"(.*)>", "", col_name) for col_name in col_names]
         if set(col_names) != set(cols):
             raise ValueError(
-                "marker_col/color_col/facet_col is misspecified because the dataframe grouping names don't match the names in the plotly figure.",
+                f"marker_col/color_col/facet_col is misspecified because the specified dataframe grouping names {cols} don't match the names in the plotly figure {col_names}.",
             )
 
         df_grouped = df_data.groupby(col_names)