Update plot

jupyter/random_angles_vs_generated.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
@@ -11,7 +11,7 @@
        "PosixPath('/home/wukevin/projects/protdiff/plots')"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -22,6 +22,7 @@
     "import json\n",
     "\n",
     "import numpy as np\n",
+    "from scipy import stats\n",
     "from matplotlib import pyplot as plt\n",
     "import seaborn as sns\n",
     "\n",
@@ -45,6 +46,34 @@
     "    generated_sctm = json.load(source)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "MannwhitneyuResult(statistic=417832.5, pvalue=4.374068292433547e-60)"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def to_arr(x):\n",
+    "    x = np.array(list(x))\n",
+    "    return x[~np.isnan(x)]\n",
+    "\n",
+    "\n",
+    "stats.mannwhitneyu(\n",
+    "    to_arr(generated_sctm.values()),\n",
+    "    to_arr(baseline_sctm.values()),\n",
+    ")"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 24,