Switch link to bivariate Gaussian widget

Author: jmshea

13-multidim-dependence/joint-rvs.ipynb

@@ -400,8 +400,8 @@
     "fig.colorbar(surf, shrink=0.3, aspect=5, pad=0.1)\n",
     "\n",
     "ax.view_init(35, azim = -80)\n",
-    "ax.set_xlabel('$x$');\n",
-    "ax.set_ylabel('$y$');\n",
+    "ax.set_xlabel('x');\n",
+    "ax.set_ylabel('y');\n",
     "\n",
     "ax=axs['B']\n",
     "# #G = stats.multivariate_normal(mean=[0,0],cov=K1)\n",
@@ -410,8 +410,8 @@
     "ax.contour(X,Y,N.pdf(pos), extent=[-3,3,-3,3],cmap=cm.coolwarm);\n",
     "ax.set_ylim(-4,4)\n",
     "ax.set_xlim(-4,4);\n",
-    "ax.set_xlabel('$x$');\n",
-    "ax.set_ylabel('$y$');\n",
+    "ax.set_xlabel('x');\n",
+    "ax.set_ylabel('y');\n",
     "# ax.spines['bottom'].set_position('zero')\n",
     "# ax.spines['left'].set_position('zero')\n",
     "plt.subplots_adjust(wspace=0.7)"
@@ -438,15 +438,15 @@
        "        <iframe\n",
        "            width=\"800\"\n",
        "            height=\"1600\"\n",
-       "            src=\"https://jmshea.github.io/Foundations-of-Data-Science-with-Python/bivariate-gaussian.html\"\n",
+       "            src=\"https://fdsp.net/bivariate-gaussian.html\"\n",
        "            frameborder=\"0\"\n",
        "            allowfullscreen\n",
        "            \n",
        "        ></iframe>\n",
        "        "
       ],
       "text/plain": [
-       "<IPython.lib.display.IFrame at 0x324d2ca50>"
+       "<IPython.lib.display.IFrame at 0x32407e050>"
       ]
      },
      "execution_count": 13,
@@ -457,8 +457,8 @@
    "source": [
     "# Display the associated webpage in a new window\n",
     "import IPython\n",
-    "#url = 'https://fdsp.net/bivariate-gaussian.html'\n",
-    "url = 'https://jmshea.github.io/Foundations-of-Data-Science-with-Python/bivariate-gaussian.html'\n",
+    "url = 'https://fdsp.net/bivariate-gaussian.html'\n",
+    "#url = 'https://jmshea.github.io/Foundations-of-Data-Science-with-Python/bivariate-gaussian.html'\n",
     "iframe = '<iframe src=' + url + ' width=800 height=1500></iframe>'\n",
     "#IPython.display.HTML(iframe)\n",
     "IPython.display.IFrame(url, 800, 1600)"
@@ -480,7 +480,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 15,
    "id": "da3da055-392d-4067-9014-d530317f5465",
    "metadata": {
     "tags": [
@@ -765,7 +765,7 @@
     {
      "data": {
       "text/html": [
-       "<div style=\"height:40px\"></div><div class=\"flip-container\" id=\"RDnTdaJDEbTg\" tabindex=\"0\" style=\"outline:none;\"></div><div style=\"height:40px\"></div><div class=\"next\" id=\"RDnTdaJDEbTg-next\" onclick=\"window.checkFlip('RDnTdaJDEbTg')\"> </div> <div style=\"height:40px\"></div>"
+       "<div style=\"height:40px\"></div><div class=\"flip-container\" id=\"YolwiyyCJRrM\" tabindex=\"0\" style=\"outline:none;\"></div><div style=\"height:40px\"></div><div class=\"next\" id=\"YolwiyyCJRrM-next\" onclick=\"window.checkFlip('YolwiyyCJRrM')\"> </div> <div style=\"height:40px\"></div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -1251,14 +1251,14 @@
        "\n",
        "\n",
        "        function try_create() {\n",
-       "          if(document.getElementById(\"RDnTdaJDEbTg\")) {\n",
-       "            createCards(\"RDnTdaJDEbTg\", \"True\", \"False\", \"False\", \"\", \"\");\n",
+       "          if(document.getElementById(\"YolwiyyCJRrM\")) {\n",
+       "            createCards(\"YolwiyyCJRrM\", \"True\", \"False\", \"False\", \"\", \"\");\n",
        "          } else {\n",
        "             setTimeout(try_create, 200);\n",
        "          }\n",
        "        };\n",
        "    \n",
-       "var cardsRDnTdaJDEbTg=[\n",
+       "var cardsYolwiyyCJRrM=[\n",
        "    {\n",
        "    \"front\": \"joint probability mass function<br>(pair of random variables)\",\n",
        "    \"back\": \"For a pair of random variables $(X,Y)$, the joint <i>probability mass function</i> (PMF) defines the probability that $(X,Y)$ takes on each value $(x,y) \\\\in \\\\mathbb{R}^2$, \\\\begin{align*} P_{X,Y} (x,y) &= P\\\\left[  \\\\left\\\\{ s \\\\left| X(s) = x, Y(s) =y \\\\right. \\\\right\\\\} \\\\right] \\\\\\\\ &= P \\\\left[  X=x, Y=y \\\\right]. \\\\end{align*}\"\n",
@@ -1309,9 +1309,9 @@
        "}\n",
        "]\n",
        ";\n",
-       "var frontColorsRDnTdaJDEbTg= [\"var(--asparagus)\", \"var(--terra-cotta)\", \"var(--cyan-process)\" ];\n",
-       "var backColorsRDnTdaJDEbTg= [\"var(--dark-blue-gray)\" ];\n",
-       "var textColorsRDnTdaJDEbTg= [\"var(--snow)\" ];\n",
+       "var frontColorsYolwiyyCJRrM= [\"var(--asparagus)\", \"var(--terra-cotta)\", \"var(--cyan-process)\" ];\n",
+       "var backColorsYolwiyyCJRrM= [\"var(--dark-blue-gray)\" ];\n",
+       "var textColorsYolwiyyCJRrM= [\"var(--snow)\" ];\n",
        "\n",
        "\n",
        "        {\n",
@@ -1322,7 +1322,7 @@
        "\n",
        "        fetch(\"https://raw.githubusercontent.com/jmshea/Foundations-of-Data-Science-with-Python/main/13-multidim-dependence/flashcards/joint-rvs.json\", {signal})\n",
        "        .then(response => response.json())\n",
-       "        .then(json => createCards(\"RDnTdaJDEbTg\", \"True\", \"False\", \"False\", \"\", \"\"))\n",
+       "        .then(json => createCards(\"YolwiyyCJRrM\", \"True\", \"False\", \"False\", \"\", \"\"))\n",
        "        .catch(err => {\n",
        "        console.log(\"Fetch error or timeout\");\n",
        "        try_create(); \n",