Pushing the docs to dev/ for branch: master, commit f734e11a53d3f9b983529fc22b877ef041e35cda

Author: sklearn-ci

dev/_downloads/1bba2567637a1618250bc13e249eb0d7/plot_partial_dependence_visualization_api.py

@@ -64,7 +64,7 @@
 fig, ax = plt.subplots(figsize=(12, 6))
 ax.set_title("Multi-layer Perceptron")
 mlp_disp = plot_partial_dependence(mlp, X, ["age", "bmi"], ax=ax,
-                                   line_kw={"c": "red"})
+                                   line_kw={"color": "red"})
 
 # %%
 # Plotting partial dependence of the two models together
@@ -88,7 +88,7 @@
 fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(10, 10))
 tree_disp.plot(ax=ax1)
 ax1.set_title("Decision Tree")
-mlp_disp.plot(ax=ax2, line_kw={"c": "red"})
+mlp_disp.plot(ax=ax2, line_kw={"color": "red"})
 ax2.set_title("Multi-layer Perceptron")
 
 # %%
@@ -102,7 +102,7 @@
 fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 6))
 tree_disp.plot(ax=[ax1, ax2], line_kw={"label": "Decision Tree"})
 mlp_disp.plot(ax=[ax1, ax2], line_kw={"label": "Multi-layer Perceptron",
-                                      "c": "red"})
+                                      "color": "red"})
 ax1.legend()
 ax2.legend()
 
@@ -115,7 +115,7 @@
 # `plot` will only show the y label and y ticks on the left most plot.
 
 tree_disp.plot(line_kw={"label": "Decision Tree"})
-mlp_disp.plot(line_kw={"label": "Multi-layer Perceptron", "c": "red"},
+mlp_disp.plot(line_kw={"label": "Multi-layer Perceptron", "color": "red"},
               ax=tree_disp.axes_)
 tree_disp.figure_.set_size_inches(10, 6)
 tree_disp.axes_[0, 0].legend()
@@ -131,4 +131,5 @@
 # plot function.
 tree_disp = plot_partial_dependence(tree, X, ["age"])
 mlp_disp = plot_partial_dependence(mlp, X, ["age"],
-                                   ax=tree_disp.axes_, line_kw={"c": "red"})
+                                   ax=tree_disp.axes_,
+                                   line_kw={"color": "red"})

dev/_downloads/3409d9766d352cc9f9b169d4a799a87a/auto_examples_python.zip

@@ -80,7 +80,7 @@
       },
       "outputs": [],
       "source": [
-        "fig, ax = plt.subplots(figsize=(12, 6))\nax.set_title(\"Multi-layer Perceptron\")\nmlp_disp = plot_partial_dependence(mlp, X, [\"age\", \"bmi\"], ax=ax,\n                                   line_kw={\"c\": \"red\"})"
+        "fig, ax = plt.subplots(figsize=(12, 6))\nax.set_title(\"Multi-layer Perceptron\")\nmlp_disp = plot_partial_dependence(mlp, X, [\"age\", \"bmi\"], ax=ax,\n                                   line_kw={\"color\": \"red\"})"
       ]
     },
     {
@@ -98,7 +98,7 @@
       },
       "outputs": [],
       "source": [
-        "fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(10, 10))\ntree_disp.plot(ax=ax1)\nax1.set_title(\"Decision Tree\")\nmlp_disp.plot(ax=ax2, line_kw={\"c\": \"red\"})\nax2.set_title(\"Multi-layer Perceptron\")"
+        "fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(10, 10))\ntree_disp.plot(ax=ax1)\nax1.set_title(\"Decision Tree\")\nmlp_disp.plot(ax=ax2, line_kw={\"color\": \"red\"})\nax2.set_title(\"Multi-layer Perceptron\")"
       ]
     },
     {
@@ -116,7 +116,7 @@
       },
       "outputs": [],
       "source": [
-        "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 6))\ntree_disp.plot(ax=[ax1, ax2], line_kw={\"label\": \"Decision Tree\"})\nmlp_disp.plot(ax=[ax1, ax2], line_kw={\"label\": \"Multi-layer Perceptron\",\n                                      \"c\": \"red\"})\nax1.legend()\nax2.legend()"
+        "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 6))\ntree_disp.plot(ax=[ax1, ax2], line_kw={\"label\": \"Decision Tree\"})\nmlp_disp.plot(ax=[ax1, ax2], line_kw={\"label\": \"Multi-layer Perceptron\",\n                                      \"color\": \"red\"})\nax1.legend()\nax2.legend()"
       ]
     },
     {
@@ -134,7 +134,7 @@
       },
       "outputs": [],
       "source": [
-        "tree_disp.plot(line_kw={\"label\": \"Decision Tree\"})\nmlp_disp.plot(line_kw={\"label\": \"Multi-layer Perceptron\", \"c\": \"red\"},\n              ax=tree_disp.axes_)\ntree_disp.figure_.set_size_inches(10, 6)\ntree_disp.axes_[0, 0].legend()\ntree_disp.axes_[0, 1].legend()\nplt.show()"
+        "tree_disp.plot(line_kw={\"label\": \"Decision Tree\"})\nmlp_disp.plot(line_kw={\"label\": \"Multi-layer Perceptron\", \"color\": \"red\"},\n              ax=tree_disp.axes_)\ntree_disp.figure_.set_size_inches(10, 6)\ntree_disp.axes_[0, 0].legend()\ntree_disp.axes_[0, 1].legend()\nplt.show()"
       ]
     },
     {
@@ -152,7 +152,7 @@
       },
       "outputs": [],
       "source": [
-        "tree_disp = plot_partial_dependence(tree, X, [\"age\"])\nmlp_disp = plot_partial_dependence(mlp, X, [\"age\"],\n                                   ax=tree_disp.axes_, line_kw={\"c\": \"red\"})"
+        "tree_disp = plot_partial_dependence(tree, X, [\"age\"])\nmlp_disp = plot_partial_dependence(mlp, X, [\"age\"],\n                                   ax=tree_disp.axes_,\n                                   line_kw={\"color\": \"red\"})"
       ]
     }
   ],