boxplot-plotly.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "boxpoints": "all",
         "fillcolor": "rgba(93, 164, 214, 0.5)",
         "jitter": 0.5,
         "line": {
          "width": 1
         },
         "marker": {
          "size": 2
         },
         "name": "Carmelo Anthony",
         "type": "box",
         "whiskerwidth": 0.2,
         "y": [
          29,
          47,
          27,
          46,
          22,
          32,
          27,
          34,
          30,
          36,
          22,
          43,
          13,
          15,
          16,
          23,
          30,
          16,
          18,
          46,
          36,
          37,
          37,
          33,
          25,
          30,
          38,
          33,
          32,
          22,
          30,
          29,
          27,
          43,
          30,
          31,
          55,
          15,
          32,
          38,
          30,
          32,
          17,
          46,
          43,
          23,
          39,
          33,
          18,
          42
         ]
        },
        {
         "boxpoints": "all",
         "fillcolor": "rgba(255, 144, 14, 0.5)",
         "jitter": 0.5,
         "line": {
          "width": 1
         },
         "marker": {
          "size": 2
         },
         "name": "Dwyane Wade",
         "type": "box",
         "whiskerwidth": 0.2,
         "y": [
          32,
          32,
          44,
          30,
          23,
          36,
          66,
          57,
          30,
          60,
          51,
          38,
          40,
          34,
          22,
          52,
          31,
          62,
          48,
          24,
          12,
          50,
          29,
          38,
          57,
          24,
          69,
          46,
          54,
          36,
          31,
          44,
          26,
          32,
          29,
          58,
          36,
          50,
          35,
          54,
          53,
          15,
          48,
          54,
          41,
          34,
          22,
          39,
          50,
          27
         ]
        },
        {
         "boxpoints": "all",
         "fillcolor": "rgba(44, 160, 101, 0.5)",
         "jitter": 0.5,
         "line": {
          "width": 1
         },
         "marker": {
          "size": 2
         },
         "name": "Deron Williams",
         "type": "box",
         "whiskerwidth": 0.2,
         "y": [
          25,
          39,
          39,
          17,
          38,
          32,
          12,
          19,
          27,
          28,
          7,
          34,
          25,
          40,
          24,
          23,
          38,
          53,
          15,
          31,
          29,
          27,
          49,
          32,
          37,
          22,
          12,
          24,
          31,
          45,
          42,
          33,
          42,
          22,
          38,
          16,
          10,
          30,
          34,
          18,
          34,
          38,
          40,
          29,
          38,
          29,
          43,
          45,
          23,
          37
         ]
        },
        {
         "boxpoints": "all",
         "fillcolor": "rgba(255, 65, 54, 0.5)",
         "jitter": 0.5,
         "line": {
          "width": 1
         },
         "marker": {
          "size": 2
         },
         "name": "Brook Lopez",
         "type": "box",
         "whiskerwidth": 0.2,
         "y": [
          39,
          26,
          32,
          39,
          37,
          50,
          42,
          45,
          47,
          23,
          32,
          38,
          44,
          61,
          32,
          12,
          41,
          34,
          32,
          34,
          44,
          22,
          38,
          26,
          34,
          52,
          33,
          24,
          30,
          43,
          29,
          41,
          50,
          20,
          22,
          15,
          54,
          40,
          38,
          34,
          33,
          35,
          39,
          38,
          25,
          51,
          40,
          11,
          29,
          37
         ]
        },
        {
         "boxpoints": "all",
         "fillcolor": "rgba(207, 114, 255, 0.5)",
         "jitter": 0.5,
         "line": {
          "width": 1
         },
         "marker": {
          "size": 2
         },
         "name": "Damian Lillard",
         "type": "box",
         "whiskerwidth": 0.2,
         "y": [
          61,
          49,
          31,
          34,
          19,
          17,
          -3,
          63,
          32,
          92,
          14,
          19,
          47,
          60,
          55,
          20,
          8,
          29,
          60,
          19,
          40,
          37,
          20,
          1,
          39,
          26,
          32,
          38,
          12,
          13,
          25,
          31,
          28,
          10,
          15,
          20,
          30,
          30,
          22,
          57,
          38,
          18,
          31,
          -9,
          40,
          39,
          33,
          26,
          25,
          29
         ]
        },
        {
         "boxpoints": "all",
         "fillcolor": "rgba(127, 96, 0, 0.5)",
         "jitter": 0.5,
         "line": {
          "width": 1
         },
         "marker": {
          "size": 2
         },
         "name": "David West",
         "type": "box",
         "whiskerwidth": 0.2,
         "y": [
          58,
          57,
          32,
          42,
          44,
          59,
          36,
          39,
          28,
          37,
          45,
          58,
          39,
          39,
          37,
          49,
          26,
          39,
          48,
          54,
          27,
          27,
          27,
          64,
          34,
          28,
          58,
          50,
          46,
          43,
          56,
          61,
          56,
          49,
          48,
          28,
          23,
          23,
          49,
          36,
          17,
          44,
          38,
          41,
          41,
          31,
          43,
          23,
          42,
          53
         ]
        }
       ],
       "layout": {
        "autosize": true,
        "margin": {
         "b": 80,
         "l": 40,
         "r": 30,
         "t": 100
        },
        "paper_bgcolor": "rgb(243, 243, 243)",
        "plot_bgcolor": "rgb(243, 243, 243)",
        "showlegend": false,
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Points Scored by the Top 9 Scoring NBA Players in 2012"
        },
        "xaxis": {
         "autorange": true,
         "range": [
          -0.5062565172054223,
          5.5
         ],
         "type": "category"
        },
        "yaxis": {
         "autorange": true,
         "dtick": 5,
         "gridcolor": "rgb(255, 255, 255)",
         "gridwidth": 1,
         "range": [
          -14.61111111111111,
          97.61111111111111
         ],
         "showgrid": true,
         "type": "linear",
         "zeroline": true,
         "zerolinecolor": "rgb(255, 255, 255)",
         "zerolinewidth": 2
        }
       }
      },
      "image/png": "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",
      "text/html": [
       "<div>\n",
       "        \n",
       "        \n",
       "            <div id=\"1b117a4c-8e6c-45b5-9603-13f59ce89d5a\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>\n",
       "            <script type=\"text/javascript\">\n",
       "                require([\"plotly\"], function(Plotly) {\n",
       "                    window.PLOTLYENV=window.PLOTLYENV || {};\n",
       "                    \n",
       "                if (document.getElementById(\"1b117a4c-8e6c-45b5-9603-13f59ce89d5a\")) {\n",
       "                    Plotly.newPlot(\n",
       "                        '1b117a4c-8e6c-45b5-9603-13f59ce89d5a',\n",
       "                        [{\"boxpoints\": \"all\", \"fillcolor\": \"rgba(93, 164, 214, 0.5)\", \"jitter\": 0.5, \"line\": {\"width\": 1}, \"marker\": {\"size\": 2}, \"name\": \"Carmelo Anthony\", \"type\": \"box\", \"whiskerwidth\": 0.2, \"y\": [29, 47, 27, 46, 22, 32, 27, 34, 30, 36, 22, 43, 13, 15, 16, 23, 30, 16, 18, 46, 36, 37, 37, 33, 25, 30, 38, 33, 32, 22, 30, 29, 27, 43, 30, 31, 55, 15, 32, 38, 30, 32, 17, 46, 43, 23, 39, 33, 18, 42]}, {\"boxpoints\": \"all\", \"fillcolor\": \"rgba(255, 144, 14, 0.5)\", \"jitter\": 0.5, \"line\": {\"width\": 1}, \"marker\": {\"size\": 2}, \"name\": \"Dwyane Wade\", \"type\": \"box\", \"whiskerwidth\": 0.2, \"y\": [32, 32, 44, 30, 23, 36, 66, 57, 30, 60, 51, 38, 40, 34, 22, 52, 31, 62, 48, 24, 12, 50, 29, 38, 57, 24, 69, 46, 54, 36, 31, 44, 26, 32, 29, 58, 36, 50, 35, 54, 53, 15, 48, 54, 41, 34, 22, 39, 50, 27]}, {\"boxpoints\": \"all\", \"fillcolor\": \"rgba(44, 160, 101, 0.5)\", \"jitter\": 0.5, \"line\": {\"width\": 1}, \"marker\": {\"size\": 2}, \"name\": \"Deron Williams\", \"type\": \"box\", \"whiskerwidth\": 0.2, \"y\": [25, 39, 39, 17, 38, 32, 12, 19, 27, 28, 7, 34, 25, 40, 24, 23, 38, 53, 15, 31, 29, 27, 49, 32, 37, 22, 12, 24, 31, 45, 42, 33, 42, 22, 38, 16, 10, 30, 34, 18, 34, 38, 40, 29, 38, 29, 43, 45, 23, 37]}, {\"boxpoints\": \"all\", \"fillcolor\": \"rgba(255, 65, 54, 0.5)\", \"jitter\": 0.5, \"line\": {\"width\": 1}, \"marker\": {\"size\": 2}, \"name\": \"Brook Lopez\", \"type\": \"box\", \"whiskerwidth\": 0.2, \"y\": [39, 26, 32, 39, 37, 50, 42, 45, 47, 23, 32, 38, 44, 61, 32, 12, 41, 34, 32, 34, 44, 22, 38, 26, 34, 52, 33, 24, 30, 43, 29, 41, 50, 20, 22, 15, 54, 40, 38, 34, 33, 35, 39, 38, 25, 51, 40, 11, 29, 37]}, {\"boxpoints\": \"all\", \"fillcolor\": \"rgba(207, 114, 255, 0.5)\", \"jitter\": 0.5, \"line\": {\"width\": 1}, \"marker\": {\"size\": 2}, \"name\": \"Damian Lillard\", \"type\": \"box\", \"whiskerwidth\": 0.2, \"y\": [61, 49, 31, 34, 19, 17, -3, 63, 32, 92, 14, 19, 47, 60, 55, 20, 8, 29, 60, 19, 40, 37, 20, 1, 39, 26, 32, 38, 12, 13, 25, 31, 28, 10, 15, 20, 30, 30, 22, 57, 38, 18, 31, -9, 40, 39, 33, 26, 25, 29]}, {\"boxpoints\": \"all\", \"fillcolor\": \"rgba(127, 96, 0, 0.5)\", \"jitter\": 0.5, \"line\": {\"width\": 1}, \"marker\": {\"size\": 2}, \"name\": \"David West\", \"type\": \"box\", \"whiskerwidth\": 0.2, \"y\": [58, 57, 32, 42, 44, 59, 36, 39, 28, 37, 45, 58, 39, 39, 37, 49, 26, 39, 48, 54, 27, 27, 27, 64, 34, 28, 58, 50, 46, 43, 56, 61, 56, 49, 48, 28, 23, 23, 49, 36, 17, 44, 38, 41, 41, 31, 43, 23, 42, 53]}],\n",
       "                        {\"margin\": {\"b\": 80, \"l\": 40, \"r\": 30, \"t\": 100}, \"paper_bgcolor\": \"rgb(243, 243, 243)\", \"plot_bgcolor\": \"rgb(243, 243, 243)\", \"showlegend\": false, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Points Scored by the Top 9 Scoring NBA Players in 2012\"}, \"yaxis\": {\"autorange\": true, \"dtick\": 5, \"gridcolor\": \"rgb(255, 255, 255)\", \"gridwidth\": 1, \"showgrid\": true, \"zeroline\": true, \"zerolinecolor\": \"rgb(255, 255, 255)\", \"zerolinewidth\": 2}},\n",
       "                        {\"responsive\": true}\n",
       "                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('1b117a4c-8e6c-45b5-9603-13f59ce89d5a');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })\n",
       "                };\n",
       "                });\n",
       "            </script>\n",
       "        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import plotly\n",
    "import plotly.graph_objects as go\n",
    "import numpy as np\n",
    "\n",
    "x_data = ['Carmelo Anthony', 'Dwyane Wade',\n",
    "          'Deron Williams', 'Brook Lopez',\n",
    "          'Damian Lillard', 'David West',]\n",
    "\n",
    "N = 50\n",
    "\n",
    "y0 = (10 * np.random.randn(N) + 30).astype(np.int)\n",
    "y1 = (13 * np.random.randn(N) + 38).astype(np.int)\n",
    "y2 = (11 * np.random.randn(N) + 33).astype(np.int)\n",
    "y3 = (9 * np.random.randn(N) + 36).astype(np.int)\n",
    "y4 = (15 * np.random.randn(N) + 31).astype(np.int)\n",
    "y5 = (12 * np.random.randn(N) + 40).astype(np.int)\n",
    "\n",
    "y_data = [y0, y1, y2, y3, y4, y5]\n",
    "\n",
    "colors = ['rgba(93, 164, 214, 0.5)', 'rgba(255, 144, 14, 0.5)', 'rgba(44, 160, 101, 0.5)',\n",
    "          'rgba(255, 65, 54, 0.5)', 'rgba(207, 114, 255, 0.5)', 'rgba(127, 96, 0, 0.5)']\n",
    "\n",
    "fig = go.Figure()\n",
    "\n",
    "for xd, yd, cls in zip(x_data, y_data, colors):\n",
    "        fig.add_trace(go.Box(\n",
    "            y=yd,\n",
    "            name=xd,\n",
    "            boxpoints='all',\n",
    "            jitter=0.5,\n",
    "            whiskerwidth=0.2,\n",
    "            fillcolor=cls,\n",
    "            marker_size=2,\n",
    "            line_width=1)\n",
    "        )\n",
    "\n",
    "fig.update_layout(\n",
    "    title='Points Scored by the Top 9 Scoring NBA Players in 2012',\n",
    "    yaxis=dict(\n",
    "        autorange=True,\n",
    "        showgrid=True,\n",
    "        zeroline=True,\n",
    "        dtick=5,\n",
    "        gridcolor='rgb(255, 255, 255)',\n",
    "        gridwidth=1,\n",
    "        zerolinecolor='rgb(255, 255, 255)',\n",
    "        zerolinewidth=2,\n",
    "    ),\n",
    "    margin=dict(\n",
    "        l=40,\n",
    "        r=30,\n",
    "        b=80,\n",
    "        t=100,\n",
    "    ),\n",
    "    paper_bgcolor='rgb(243, 243, 243)',\n",
    "    plot_bgcolor='rgb(243, 243, 243)',\n",
    "    showlegend=False\n",
    ")\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}