Fixed CCO Notebook

lf-connectivity · Sep 10, 2024 · 5cffe2e · 5cffe2e
1 parent a4b69ac
commit 5cffe2e
Showing 1 changed file with 58 additions and 10 deletions.
diff --git a/notebooks/coo_with_radp_digital_twin.ipynb b/notebooks/coo_with_radp_digital_twin.ipynb
@@ -736,20 +736,57 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 63,
    "id": "8d22cd26",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    0.952494\n",
+       "1    0.953327\n",
+       "2    0.963138\n",
+       "Name: pearson_corr, dtype: float64"
+      ]
+     },
+     "execution_count": 63,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "df_results_sorted.pearson_corr"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 68,
    "id": "00afefe4",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "      loc_x     loc_y  pred_rsrp  cell_rxpwr_dbm\n",
+      "0  527491.0  544742.0       10.0            12.0\n",
+      "1  530987.0  250938.0       10.0            12.0\n",
+      "2  537395.0  517820.0       10.0            12.0\n",
+      "      loc_x      loc_y  pred_rsrp  cell_rxpwr_dbm\n",
+      "0  1.099834  -7.004979       10.0            12.0\n",
+      "1  2.300091  68.000049       10.0            12.0\n",
+      "2  4.500103   2.219884       10.0            12.0\n",
+      "      loc_x     loc_y  pred_rsrp  cell_rxpwr_dbm\n",
+      "0  527491.0  544742.0       10.0            12.0\n",
+      "1  530987.0  250938.0       10.0            12.0\n",
+      "2  537395.0  517820.0       10.0            12.0\n",
+      "      loc_x      loc_y  pred_rsrp  cell_rxpwr_dbm\n",
+      "0  1.099834  -7.004979       10.0            12.0\n",
+      "1  2.300091  68.000049       10.0            12.0\n",
+      "2  4.500103   2.219884       10.0            12.0\n"
+     ]
+    }
+   ],
    "source": [
     "df1 = pd.DataFrame(\n",
     "    {\n",
@@ -788,7 +825,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 67,
    "id": "5136b402",
    "metadata": {},
    "outputs": [],
@@ -815,7 +852,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 69,
    "id": "b1f1b4c3",
    "metadata": {},
    "outputs": [],
@@ -831,17 +868,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 70,
    "id": "8edbc83d",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2932"
+      ]
+     },
+     "execution_count": 70,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "len(raw_polys)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 71,
    "id": "04066a91",
    "metadata": {},
    "outputs": [],
@@ -886,7 +934,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.5"
+   "version": "3.9.6"
   },
   "varInspector": {
    "cols": {