more alt-text

Author: zingale

content/04-matplotlib/matplotlib-exercises.ipynb

@@ -286,7 +286,8 @@
    ],
    "source": [
     "fig, ax = plt.subplots()\n",
-    "ax.imshow(m)"
+    "ax.imshow(m)\n",
+    "# alt-text: a plot of the Mandelbrot set"
    ]
   },
   {
@@ -313,7 +314,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.3"
+   "version": "3.14.2"
   }
  },
  "nbformat": 4,

content/05-scipy/scipy-basics.ipynb

@@ -538,7 +538,8 @@
     "x_fine = np.linspace(0, 20, 10*N)\n",
     "\n",
     "ax.scatter(x, y)\n",
-    "ax.plot(x_fine, f_exact(x_fine), ls=\":\", label=\"original function\")"
+    "ax.plot(x_fine, f_exact(x_fine), ls=\":\", label=\"original function\")\n",
+    "# alt-text: a figure showing data points and an interpolant passing through them"
    ]
   },
   {
@@ -578,7 +579,8 @@
     "ax.plot(x_fine, f_interp(x_fine), label=\"interpolant\")\n",
     "\n",
     "ax.legend(frameon=False, loc=\"best\")\n",
-    "fig"
+    "fig\n",
+    "# alt-text: a figure showing data points, an interpolant to them, and the original function we sampled"
    ]
   },
   {
@@ -666,7 +668,8 @@
     "fig, ax = plt.subplots()\n",
     "data = func(x, y)\n",
     "im = ax.imshow(data.T, extent=(0, 1, 0, 1), origin=\"lower\")\n",
-    "fig.colorbar(im, ax=ax)"
+    "fig.colorbar(im, ax=ax)\n",
+    "# alt-text: a heat-map figure showing a function with small-amplitude ripples"
    ]
   },
   {
@@ -714,7 +717,8 @@
    "source": [
     "fig, ax = plt.subplots()\n",
     "im = ax.imshow(coarse.T, extent=(0, 1, 0, 1), origin=\"lower\")\n",
-    "fig.colorbar(im, ax=ax)"
+    "fig.colorbar(im, ax=ax)\n",
+    "# alt-text: a heat-map showing coarsened representation of our function"
    ]
   },
   {
@@ -820,7 +824,8 @@
    "source": [
     "fig, ax = plt.subplots()\n",
     "im = ax.imshow(new_data.T, extent=(0, 1, 0, 1), origin=\"lower\")\n",
-    "fig.colorbar(im, ax=ax)"
+    "fig.colorbar(im, ax=ax)\n",
+    "# alt-text: a heat-map showing the reconstructed function via interpolation"
    ]
   },
   {
@@ -860,7 +865,8 @@
     "diff = new_data - data\n",
     "fig, ax = plt.subplots()\n",
     "im = ax.imshow(diff.T, origin=\"lower\", extent=(0, 1, 0, 1))\n",
-    "fig.colorbar(im, ax=ax)"
+    "fig.colorbar(im, ax=ax)\n",
+    "# alt-text: a heat-map showing the error in our interpolation.  It is better than 10%"
    ]
   },
   {
@@ -964,7 +970,8 @@
     "fig, ax = plt.subplots()\n",
     "ax.plot(x, f(x))\n",
     "ax.scatter(np.array([root]), np.array([f(root)]))\n",
-    "ax.grid()"
+    "ax.grid()\n",
+    "# alt-text: a plot of our function with the root represented as a point"
    ]
   },
   {
@@ -1104,7 +1111,8 @@
     "fig = plt.figure()\n",
     "ax = plt.axes(projection='3d')\n",
     "ax.plot(X[0,:], X[1,:], X[2,:])\n",
-    "fig.set_size_inches(8.0,6.0)"
+    "fig.set_size_inches(8.0,6.0)\n",
+    "# alt-text: a 3D line plot of the solution -- it is dominated by two lobe-like structures"
    ]
   },
   {
@@ -1192,13 +1200,14 @@
     "\n",
     "ax.plot(X[0,:], X[1,:], X[2,:])\n",
     "\n",
-    "ax.scatter(sol1.x[0], sol1.x[1], sol1.x[2], marker=\"x\", color=\"r\")\n",
-    "ax.scatter(sol2.x[0], sol2.x[1], sol2.x[2], marker=\"x\", color=\"r\")\n",
-    "ax.scatter(sol3.x[0], sol3.x[1], sol3.x[2], marker=\"x\", color=\"r\")\n",
+    "ax.scatter(sol1.x[0], sol1.x[1], sol1.x[2], marker=\"x\", color=\"C1\")\n",
+    "ax.scatter(sol2.x[0], sol2.x[1], sol2.x[2], marker=\"x\", color=\"C1\")\n",
+    "ax.scatter(sol3.x[0], sol3.x[1], sol3.x[2], marker=\"x\", color=\"C1\")\n",
     "\n",
     "ax.set_xlabel(\"x\")\n",
     "ax.set_ylabel(\"y\")\n",
-    "ax.set_zlabel(\"z\")"
+    "ax.set_zlabel(\"z\")\n",
+    "# alt-text: the 3D solution again represented as a line / trajectory, now with the stable-points marked"
    ]
   },
   {
@@ -1342,7 +1351,8 @@
     "ax.loglog(ts, Ys[2,:], label=r\"$y_3$\")\n",
     "\n",
     "ax.legend(loc=\"best\", frameon=False)\n",
-    "ax.set_xlabel(\"time\")"
+    "ax.set_xlabel(\"time\")\n",
+    "# alt-text: the time-evolution of the species on a log scale"
    ]
   },
   {
@@ -1373,7 +1383,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.13.3"
+   "version": "3.14.2"
   }
  },
  "nbformat": 4,