update

Arrays.ipynb

@@ -180,6 +180,100 @@
     "clevs"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "A = np.ones((5,5))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[1., 1., 1., 1., 1.],\n",
+       "       [1., 1., 1., 1., 1.],\n",
+       "       [1., 1., 1., 1., 1.],\n",
+       "       [1., 1., 1., 1., 1.],\n",
+       "       [1., 1., 1., 1., 1.]])"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "A"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "A[1:4,1:4] = 0"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[1., 1., 1., 1., 1.],\n",
+       "       [1., 0., 0., 0., 1.],\n",
+       "       [1., 0., 0., 0., 1.],\n",
+       "       [1., 0., 0., 0., 1.],\n",
+       "       [1., 1., 1., 1., 1.]])"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "A"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[0.725 0.99  1.    0.87 ]\n",
+      "[0.725 0.99  1.    0.87 ]\n",
+      "[0.725 0.99  1.    0.87 ]\n"
+     ]
+    }
+   ],
+   "source": [
+    "sampleArr = np.array([0.725, 0.39, 0.99, 1, 0.4, 0.223, 0.87])\n",
+    "\n",
+    "condition = (sampleArr > 0.5)\n",
+    "extracted = np.extract(condition, sampleArr)  # returns [0.725 0.99]\n",
+    "\n",
+    "print(sampleArr[sampleArr > 0.5])\n",
+    "print(sampleArr[condition])\n",
+    "print(extracted)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,