Update matplotlib.figure.Figure.add_subplot call to take integer arguments.

PiperOrigin-RevId: 487816510

Author: tensorflower-gardener

Diff for: tensorflow_graphics/notebooks/intrinsics_optimization.ipynb

@@ -289,13 +289,13 @@
       "source": [
         "def plot_optimization_step(observation, prediction):\n",
         "  plt.figure(figsize=(20, 10))\n",
-        "  ax = plt.subplot(\"131\")\n",
+        "  ax = plt.subplot(1, 3, 1)\n",
         "  ax.set_title(\"Observation\")\n",
         "  _ = ax.imshow(observation)\n",
-        "  ax = plt.subplot(\"132\")\n",
+        "  ax = plt.subplot(1, 3, 2)\n",
         "  ax.set_title(\"Prediction using estimated intrinsics\")\n",
         "  _ = ax.imshow(prediction)\n",
-        "  ax = plt.subplot(\"133\")\n",
+        "  ax = plt.subplot(1, 3, 3)\n",
         "  ax.set_title(\"Difference image\")\n",
         "  _ = ax.imshow(np.abs(observation - prediction))\n",
         "  plt.show()\n",

Diff for: tensorflow_graphics/notebooks/reflectance.ipynb

@@ -257,7 +257,7 @@
         "\n",
         "# Diffuse\n",
         "radiance_lambertian = np.transpose(radiance_lambertian, (1, 0, 2))\n",
-        "ax = plt.subplot(\"131\")\n",
+        "ax = plt.subplot(1, 3, 1)\n",
         "ax.axes.get_xaxis().set_visible(False)\n",
         "ax.axes.get_yaxis().set_visible(False)\n",
         "ax.grid(False)\n",
@@ -266,7 +266,7 @@
         "\n",
         "# Specular\n",
         "radiance_phong = np.transpose(radiance_phong, (1, 0, 2))\n",
-        "ax = plt.subplot(\"132\")\n",
+        "ax = plt.subplot(1, 3, 2)\n",
         "ax.axes.get_xaxis().set_visible(False)\n",
         "ax.axes.get_yaxis().set_visible(False)\n",
         "ax.grid(False)\n",
@@ -275,7 +275,7 @@
         "\n",
         "# Diffuse + specular\n",
         "radiance = np.transpose(radiance, (1, 0, 2))\n",
-        "ax = plt.subplot(\"133\")\n",
+        "ax = plt.subplot(1, 3, 3)\n",
         "ax.axes.get_xaxis().set_visible(False)\n",
         "ax.axes.get_yaxis().set_visible(False)\n",
         "ax.grid(False)\n",

Diff for: tensorflow_graphics/notebooks/spherical_harmonics_approximation.ipynb

@@ -250,19 +250,19 @@
         "    1.0)\n",
         "# Plots results.\n",
         "plt.figure(figsize=(10, 10))\n",
-        "ax = plt.subplot(\"131\")\n",
+        "ax = plt.subplot(1, 3, 1)\n",
         "ax.axes.get_xaxis().set_visible(False)\n",
         "ax.axes.get_yaxis().set_visible(False)\n",
         "ax.grid(False)\n",
         "ax.set_title(\"Original lighting function\")\n",
         "_ = ax.imshow(sampled_light_function, vmin=vmin, vmax=vmax)\n",
-        "ax = plt.subplot(\"132\")\n",
+        "ax = plt.subplot(1, 3, 2)\n",
         "ax.axes.get_xaxis().set_visible(False)\n",
         "ax.axes.get_yaxis().set_visible(False)\n",
         "ax.grid(False)\n",
         "ax.set_title(\"Spherical Harmonics approximation\")\n",
         "_ = ax.imshow(reconstructed_light_function, vmin=vmin, vmax=vmax)\n",
-        "ax = plt.subplot(\"133\")\n",
+        "ax = plt.subplot(1, 3, 3)\n",
         "ax.axes.get_xaxis().set_visible(False)\n",
         "ax.axes.get_yaxis().set_visible(False)\n",
         "ax.grid(False)\n",
@@ -347,19 +347,19 @@
         "    np.amax(np.maximum(sampled_brdf, reconstructed_brdf)), 1.0 / np.pi)\n",
         "# Plots results.\n",
         "plt.figure(figsize=(10, 10))\n",
-        "ax = plt.subplot(\"131\")\n",
+        "ax = plt.subplot(1, 3, 1)\n",
         "ax.axes.get_xaxis().set_visible(False)\n",
         "ax.axes.get_yaxis().set_visible(False)\n",
         "ax.grid(False)\n",
         "ax.set_title(\"Original reflectance function\")\n",
         "_ = ax.imshow(sampled_brdf, vmin=vmin, vmax=vmax)\n",
-        "ax = plt.subplot(\"132\")\n",
+        "ax = plt.subplot(1, 3, 2)\n",
         "ax.axes.get_xaxis().set_visible(False)\n",
         "ax.axes.get_yaxis().set_visible(False)\n",
         "ax.grid(False)\n",
         "ax.set_title(\"Zonal Harmonics approximation\")\n",
         "_ = ax.imshow(reconstructed_brdf, vmin=vmin, vmax=vmax)\n",
-        "ax = plt.subplot(\"133\")\n",
+        "ax = plt.subplot(1, 3, 3)\n",
         "ax.axes.get_xaxis().set_visible(False)\n",
         "ax.axes.get_yaxis().set_visible(False)\n",
         "ax.grid(False)\n",
@@ -438,13 +438,13 @@
         "    vector.dot(sh_coefficients, rotated_zonal_coefficients))\n",
         "\n",
         "plt.figure(figsize=(10, 10))\n",
-        "ax = plt.subplot(\"121\")\n",
+        "ax = plt.subplot(1, 2, 1)\n",
         "ax.set_title(\"Zonal SH\")\n",
         "ax.axes.get_xaxis().set_visible(False)\n",
         "ax.axes.get_yaxis().set_visible(False)\n",
         "ax.grid(False)\n",
         "_ = ax.imshow(reconstructed_brdf)\n",
-        "ax = plt.subplot(\"122\")\n",
+        "ax = plt.subplot(1, 2, 2)\n",
         "ax.set_title(\"Rotated version\")\n",
         "ax.axes.get_xaxis().set_visible(False)\n",
         "ax.axes.get_yaxis().set_visible(False)\n",
@@ -573,13 +573,13 @@
         "gt = np.transpose(gt, (1, 0))\n",
         "\n",
         "plt.figure(figsize=(10, 20))\n",
-        "ax = plt.subplot(\"121\")\n",
+        "ax = plt.subplot(1, 2, 1)\n",
         "ax.axes.get_xaxis().set_visible(False)\n",
         "ax.axes.get_yaxis().set_visible(False)\n",
         "ax.grid(False)\n",
         "ax.set_title(\"SH light and SH BRDF\")\n",
         "_ = ax.imshow(sh_integration, vmin=0.0)\n",
-        "ax = plt.subplot(\"122\")\n",
+        "ax = plt.subplot(1, 2, 2)\n",
         "ax.axes.get_xaxis().set_visible(False)\n",
         "ax.axes.get_yaxis().set_visible(False)\n",
         "ax.grid(False)\n",

Diff for: tensorflow_graphics/notebooks/spherical_harmonics_optimization.ipynb

@@ -324,13 +324,13 @@
         "reconstructed_image = reconstruct_image(recovered_light_coeffs)\n",
         "reconstructed_image = np.transpose(reconstructed_image, (1, 0))\n",
         "plt.figure(figsize=(10, 20))\n",
-        "ax = plt.subplot(\"131\")\n",
+        "ax = plt.subplot(1, 3, 1)\n",
         "ax.axes.get_xaxis().set_visible(False)\n",
         "ax.axes.get_yaxis().set_visible(False)\n",
         "ax.grid(False)\n",
         "ax.set_title(\"Target\")\n",
         "_ = ax.imshow(target_transpose, vmin=0.0)\n",
-        "ax = plt.subplot(\"132\")\n",
+        "ax = plt.subplot(1, 3, 2)\n",
         "ax.axes.get_xaxis().set_visible(False)\n",
         "ax.axes.get_yaxis().set_visible(False)\n",
         "ax.grid(False)\n",
@@ -350,21 +350,21 @@
         "    reconstructed_image = np.transpose(reconstructed_image, (1, 0))\n",
         "    # Displays the target and prediction.\n",
         "    plt.figure(figsize=(10, 20))\n",
-        "    ax = plt.subplot(\"131\")\n",
+        "    ax = plt.subplot(1, 3, 1)\n",
         "    ax.axes.get_xaxis().set_visible(False)\n",
         "    ax.axes.get_yaxis().set_visible(False)\n",
         "    ax.grid(False)\n",
         "    ax.set_title(\"Target\")\n",
         "    img = ax.imshow(target_transpose, vmin=0.0)\n",
-        "    ax = plt.subplot(\"132\")\n",
+        "    ax = plt.subplot(1, 3, 2)\n",
         "    ax.axes.get_xaxis().set_visible(False)\n",
         "    ax.axes.get_yaxis().set_visible(False)\n",
         "    ax.grid(False)\n",
         "    ax.set_title(\"Prediction iteration \" + str(it))\n",
         "    img = ax.imshow(reconstructed_image, vmin=0.0)\n",
         "    # Shows the difference between groundtruth and prediction.\n",
         "    vmax = np.maximum(np.amax(reconstructed_image), np.amax(target_transpose))\n",
-        "    ax = plt.subplot(\"133\")\n",
+        "    ax = plt.subplot(1, 3, 3)\n",
         "    ax.axes.get_xaxis().set_visible(False)\n",
         "    ax.axes.get_yaxis().set_visible(False)\n",
         "    ax.grid(False)\n",
@@ -378,13 +378,13 @@
         "\n",
         "# Displays the groundtruth and predicted environment maps.\n",
         "plt.figure(figsize=(10, 20))\n",
-        "ax = plt.subplot(\"121\")\n",
+        "ax = plt.subplot(1, 2, 1)\n",
         "ax.axes.get_xaxis().set_visible(False)\n",
         "ax.axes.get_yaxis().set_visible(False)\n",
         "ax.grid(False)\n",
         "ax.set_title(\"Target light\")\n",
         "img = ax.imshow(reconstructed_light_function, vmin=0.0)\n",
-        "ax = plt.subplot(\"122\")\n",
+        "ax = plt.subplot(1, 2, 2)\n",
         "ax.axes.get_xaxis().set_visible(False)\n",
         "ax.axes.get_yaxis().set_visible(False)\n",
         "ax.grid(False)\n",