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@@ -80,7 +80,7 @@
       },
       "outputs": [],
       "source": [
-        "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()"
+        "import matplotlib.pyplot as plt\n\nplt.figure(1)\nplt.clf()\n\ncolors = [\"#dede00\", \"#377eb8\", \"#f781bf\"]\nmarkers = [\"x\", \"o\", \"^\"]\n\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], markers[k], color=col)\n    plt.plot(\n        cluster_center[0],\n        cluster_center[1],\n        markers[k],\n        markerfacecolor=col,\n        markeredgecolor=\"k\",\n        markersize=14,\n    )\nplt.title(\"Estimated number of clusters: %d\" % n_clusters_)\nplt.show()"
       ]
     }
   ],
 
@@ -42,20 +42,21 @@
 # Plot result
 # -----------
 import matplotlib.pyplot as plt
-from itertools import cycle
 
 plt.figure(1)
 plt.clf()
 
-colors = cycle("bgrcmyk")
+colors = ["#dede00", "#377eb8", "#f781bf"]
+markers = ["x", "o", "^"]
+
 for k, col in zip(range(n_clusters_), colors):
     my_members = labels == k
     cluster_center = cluster_centers[k]
-    plt.plot(X[my_members, 0], X[my_members, 1], col + ".")
+    plt.plot(X[my_members, 0], X[my_members, 1], markers[k], color=col)
     plt.plot(
         cluster_center[0],
         cluster_center[1],
-        "o",
+        markers[k],
         markerfacecolor=col,
         markeredgecolor="k",
         markersize=14,
Original file line number	Diff line number	Diff line change
`@@ -80,7 +80,7 @@`
`80`	`80`	`},`
`81`	`81`	`"outputs": [],`
`82`	`82`	`"source": [`
`83`		- "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()"
	`83`	+ "import matplotlib.pyplot as plt\n\nplt.figure(1)\nplt.clf()\n\ncolors = [\"#dede00\", \"#377eb8\", \"#f781bf\"]\nmarkers = [\"x\", \"o\", \"^\"]\n\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], markers[k], color=col)\n plt.plot(\n cluster_center[0],\n cluster_center[1],\n markers[k],\n markerfacecolor=col,\n markeredgecolor=\"k\",\n markersize=14,\n )\nplt.title(\"Estimated number of clusters: %d\" % n_clusters_)\nplt.show()"
`84`	`84`	`]`
`85`	`85`	`}`
`86`	`86`	`],`