Pushing the docs to dev/ for branch: main, commit df626e43ac3c99da2aeb005709d77395bd717e6a

Author: sklearn-ci

dev/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip

@@ -80,7 +80,7 @@
       },
       "outputs": [],
       "source": [
-        "import matplotlib.pyplot as plt\nfrom itertools import cycle\n\nplt.figure(1)\nplt.clf()\n\ncolors = cycle(\"bgrcmykbgrcmykbgrcmykbgrcmyk\")\nfor k, col in zip(range(n_clusters_), colors):\n    my_members = labels == k\n    cluster_center = cluster_centers[k]\n    plt.plot(X[my_members, 0], X[my_members, 1], col + \".\")\n    plt.plot(\n        cluster_center[0],\n        cluster_center[1],\n        \"o\",\n        markerfacecolor=col,\n        markeredgecolor=\"k\",\n        markersize=14,\n    )\nplt.title(\"Estimated number of clusters: %d\" % n_clusters_)\nplt.show()"
+        "import matplotlib.pyplot as plt\nfrom itertools import cycle\n\nplt.figure(1)\nplt.clf()\n\ncolors = cycle(\"bgrcmyk\")\nfor k, col in zip(range(n_clusters_), colors):\n    my_members = labels == k\n    cluster_center = cluster_centers[k]\n    plt.plot(X[my_members, 0], X[my_members, 1], col + \".\")\n    plt.plot(\n        cluster_center[0],\n        cluster_center[1],\n        \"o\",\n        markerfacecolor=col,\n        markeredgecolor=\"k\",\n        markersize=14,\n    )\nplt.title(\"Estimated number of clusters: %d\" % n_clusters_)\nplt.show()"
       ]
     }
   ],

dev/_downloads/43f17c8225b2c8e15e22a7edf7adb8b5/plot_mean_shift.ipynb

@@ -47,7 +47,7 @@
 plt.figure(1)
 plt.clf()
 
-colors = cycle("bgrcmykbgrcmykbgrcmykbgrcmyk")
+colors = cycle("bgrcmyk")
 for k, col in zip(range(n_clusters_), colors):
     my_members = labels == k
     cluster_center = cluster_centers[k]