Plot summary

demo.ipynb

@@ -531,7 +531,8 @@
    "id": "91022e4a-ffcf-4ab4-9dca-90e41583a7ac",
    "metadata": {},
    "source": [
-    "Additionally, we can plot the results in several ways:"
+    "Additionally, we can plot the results in several ways.\n",
+    "First, a general summary showing the distribution of some key outputs across the different runs, as histograms and geospatially."
    ]
   },
   {
@@ -540,23 +541,28 @@
    "id": "e91a4803-e627-4a50-9ebf-c749870890fe",
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "fpcup.plotting.plot_wofost_summary(summary, weight_by_area=False)  # The weight_by_area keyword will be explained later"
+   ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5eadcd91-bf0e-418e-b386-93ede2581ffe",
+   "cell_type": "markdown",
+   "id": "6fb5d6ec-0bca-4118-892f-166759ca824e",
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "source": [
+    "This plot can also be made for a single province:"
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "id": "1dafc5fc-a1b9-42b7-8936-1528f73f1cdd",
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "province = fpcup.geo.process_input_province(\"Zuid-Holland\") \n",
+    "fpcup.plotting.plot_wofost_summary(summary, weight_by_area=False, province=province)"
+   ]
   },
   {
    "cell_type": "markdown",