adjust graph appearance

mtakeno · Feb 12, 2020 · 8cc1300 · 8cc1300
1 parent 8285b11
commit 8cc1300
Showing 1 changed file with 44 additions and 65 deletions.
diff --git a/graph_volume_em_pubs.ipynb b/graph_volume_em_pubs.ipynb
@@ -2,85 +2,64 @@
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-       "(function(root) {\n",
-       "  function embed_document(root) {\n",
-       "    \n",
-       "  var docs_json = {\"9781faea-af30-4945-a269-fd34655d062e\":{\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"1539\",\"type\":\"LinearAxis\"}],\"center\":[{\"id\":\"1543\",\"type\":\"Grid\"},{\"id\":\"1548\",\"type\":\"Grid\"}],\"left\":[{\"id\":\"1544\",\"type\":\"LogAxis\"}],\"plot_width\":800,\"renderers\":[{\"id\":\"1565\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"1603\",\"type\":\"Title\"},\"toolbar\":{\"id\":\"1555\",\"type\":\"Toolbar\"},\"x_range\":{\"id\":\"1531\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"1535\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"1533\",\"type\":\"DataRange1d\"},\"y_scale\":{\"id\":\"1537\",\"type\":\"LogScale\"}},\"id\":\"1530\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"axis_label\":\"Volume Sectioned 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-   ],
+   "execution_count": 13,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
    "source": [
     "import pandas as pd\n",
     "from bokeh.io import output_notebook, show\n",
     "from bokeh.plotting import figure\n",
-    "from bokeh.models import ColumnDataSource\n",
+    "from bokeh.models import ColumnDataSource, LabelSet\n",
     "\n",
     "df = pd.read_csv('data/volume_em_data.csv',\n",
     "                 skiprows=[1],     # skip row with unit designator\n",
-    "                 dtype={\"number_sections\": int},\n",
-    "                 usecols={'calculated_volume', 'publication_year'}\n",
+    "                 usecols={'calculated_volume', 'publication_year', 'reference_number'},\n",
+    "                 dtype={\"number_sections\": int, \"publication_year\": int}\n",
     "                )\n",
-    "df.head()\n",
+    "# df.head()\n",
     "source = ColumnDataSource(df)\n",
     "\n",
-    "p = figure(plot_width=800, plot_height=600, y_axis_type=\"log\")\n",
+    "p = figure(plot_width=800, plot_height=400, y_axis_type=\"log\", title=\"Large Volume EM Datasets\",\n",
+    "            tools = \"pan,wheel_zoom,box_zoom,hover,reset\")\n",
+    "\n",
+    "p.scatter(x=\"publication_year\", y=\"calculated_volume\", source=source)\n",
+    "\n",
     "p.xaxis.axis_label = 'Publication Year'\n",
-    "p.yaxis.axis_label = 'Volume Sectioned (um^3)'\n",
-    "p.scatter(\"publication_year\", \"calculated_volume\", source=source)\n",
+    "p.yaxis.axis_label = 'Calculated Volume (um^3)'\n",
+    "\n",
+    "labels = LabelSet(x=\"publication_year\", y=\"calculated_volume\", text='reference_number',\n",
+    "                 x_offset=3, y_offset=3, source=source, render_mode='canvas')\n",
+    "# p.add_layout(labels)\n",
+    "# p.add_tools(HoverTool())\n",
     "show(p)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 32 entries, 0 to 31\n",
+      "Data columns (total 3 columns):\n",
+      "calculated_volume    32 non-null float64\n",
+      "reference_number     32 non-null int64\n",
+      "publication_year     32 non-null int32\n",
+      "dtypes: float64(1), int32(1), int64(1)\n",
+      "memory usage: 768.0 bytes\n"
+     ]
+    }
+   ],
+   "source": [
+    "df.info()"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,