Auto-commit: Mon Sep 9 13:38:48 CDT 2024

_site/week03/inClass_week03.ipynb

@@ -889,9 +889,34 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 48,
    "id": "a1a937ef-87e7-4358-8df1-52964e68ba49",
    "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(10,3))\n",
+    "\n",
+    "ax.hist(im_data[:,:,0]) # 0=red channel\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ac228ad4-68de-4777-9528-6a08007b4e11",
+   "metadata": {},
    "outputs": [],
    "source": []
   }