Pushing the docs to dev/ for branch: main, commit 3c8e0a2034194b9ad7124efdfe4c75a806a9adca

Author: sklearn-ci

dev/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip

@@ -80,7 +80,7 @@
       },
       "outputs": [],
       "source": [
-        "import matplotlib.pyplot as plt\n\n\ndef plot_figs(fig_num, elev, azim, X_train, clf):\n    fig = plt.figure(fig_num, figsize=(4, 3))\n    plt.clf()\n    ax = fig.add_subplot(111, projection=\"3d\", elev=elev, azim=azim)\n\n    ax.scatter(X_train[:, 0], X_train[:, 1], y_train, c=\"k\", marker=\"+\")\n    ax.plot_surface(\n        np.array([[-0.1, -0.1], [0.15, 0.15]]),\n        np.array([[-0.1, 0.15], [-0.1, 0.15]]),\n        clf.predict(\n            np.array([[-0.1, -0.1, 0.15, 0.15], [-0.1, 0.15, -0.1, 0.15]]).T\n        ).reshape((2, 2)),\n        alpha=0.5,\n    )\n    ax.set_xlabel(\"X_1\")\n    ax.set_ylabel(\"X_2\")\n    ax.set_zlabel(\"Y\")\n    ax.w_xaxis.set_ticklabels([])\n    ax.w_yaxis.set_ticklabels([])\n    ax.w_zaxis.set_ticklabels([])\n\n\n# Generate the three different figures from different views\nelev = 43.5\nazim = -110\nplot_figs(1, elev, azim, X_train, ols)\n\nelev = -0.5\nazim = 0\nplot_figs(2, elev, azim, X_train, ols)\n\nelev = -0.5\nazim = 90\nplot_figs(3, elev, azim, X_train, ols)\n\nplt.show()"
+        "import matplotlib.pyplot as plt\n\n# unused but required import for doing 3d projections with matplotlib < 3.2\nimport mpl_toolkits.mplot3d  # noqa: F401\n\n\ndef plot_figs(fig_num, elev, azim, X_train, clf):\n    fig = plt.figure(fig_num, figsize=(4, 3))\n    plt.clf()\n    ax = fig.add_subplot(111, projection=\"3d\", elev=elev, azim=azim)\n\n    ax.scatter(X_train[:, 0], X_train[:, 1], y_train, c=\"k\", marker=\"+\")\n    ax.plot_surface(\n        np.array([[-0.1, -0.1], [0.15, 0.15]]),\n        np.array([[-0.1, 0.15], [-0.1, 0.15]]),\n        clf.predict(\n            np.array([[-0.1, -0.1, 0.15, 0.15], [-0.1, 0.15, -0.1, 0.15]]).T\n        ).reshape((2, 2)),\n        alpha=0.5,\n    )\n    ax.set_xlabel(\"X_1\")\n    ax.set_ylabel(\"X_2\")\n    ax.set_zlabel(\"Y\")\n    ax.xaxis.set_ticklabels([])\n    ax.yaxis.set_ticklabels([])\n    ax.zaxis.set_ticklabels([])\n\n\n# Generate the three different figures from different views\nelev = 43.5\nazim = -110\nplot_figs(1, elev, azim, X_train, ols)\n\nelev = -0.5\nazim = 0\nplot_figs(2, elev, azim, X_train, ols)\n\nelev = -0.5\nazim = 90\nplot_figs(3, elev, azim, X_train, ols)\n\nplt.show()"
       ]
     }
   ],

dev/_downloads/113d936063a64e05f36c8cd5e870300a/plot_ols_3d.ipynb

@@ -42,6 +42,9 @@
 
 import matplotlib.pyplot as plt
 
+# unused but required import for doing 3d projections with matplotlib < 3.2
+import mpl_toolkits.mplot3d  # noqa: F401
+
 
 def plot_figs(fig_num, elev, azim, X_train, clf):
     fig = plt.figure(fig_num, figsize=(4, 3))
@@ -60,9 +63,9 @@ def plot_figs(fig_num, elev, azim, X_train, clf):
     ax.set_xlabel("X_1")
     ax.set_ylabel("X_2")
     ax.set_zlabel("Y")
-    ax.w_xaxis.set_ticklabels([])
-    ax.w_yaxis.set_ticklabels([])
-    ax.w_zaxis.set_ticklabels([])
+    ax.xaxis.set_ticklabels([])
+    ax.yaxis.set_ticklabels([])
+    ax.zaxis.set_ticklabels([])
 
 
 # Generate the three different figures from different views

dev/_downloads/2a401e4f9bbae968abdf35a831408f10/plot_ols_3d.py

@@ -67,7 +67,7 @@ def plot_results(X, Y, means, covariances, index, title):
         # Plot an ellipse to show the Gaussian component
         angle = np.arctan(u[1] / u[0])
         angle = 180.0 * angle / np.pi  # convert to degrees
-        ell = mpl.patches.Ellipse(mean, v[0], v[1], 180.0 + angle, color=color)
+        ell = mpl.patches.Ellipse(mean, v[0], v[1], angle=180.0 + angle, color=color)
         ell.set_clip_box(splot.bbox)
         ell.set_alpha(0.5)
         splot.add_artist(ell)