Football-Analytics-Workshop_final.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-26T16:45:21.725327Z",
     "iopub.status.busy": "2021-03-26T16:45:21.724618Z",
     "iopub.status.idle": "2021-03-26T16:45:22.162530Z",
     "shell.execute_reply": "2021-03-26T16:45:22.161568Z",
     "shell.execute_reply.started": "2021-03-26T16:45:21.725126Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from fastdata.core import *\n",
    "def euclidean_distance(df1, df2):\n",
    "    import numpy as np\n",
    "    eucl_d = np.linalg.norm(df1.values - df2.values, axis=1)\n",
    "    return pd.DataFrame({'eucl_d':eucl_d}, index=df1.index).reset_index()\n",
    "import plotly.express as px\n",
    "import pandas as pd\n",
    "from fastdata.core import *"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Steps to Clean the Data\n",
    "## 1. Exporting the FIFA 2020 file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-26T16:45:22.164930Z",
     "iopub.status.busy": "2021-03-26T16:45:22.164534Z",
     "iopub.status.idle": "2021-03-26T16:45:22.910398Z",
     "shell.execute_reply": "2021-03-26T16:45:22.904193Z",
     "shell.execute_reply.started": "2021-03-26T16:45:22.164880Z"
    }
   },
   "outputs": [],
   "source": [
    "data = pd.read_csv(\n",
    "    sep=\",\", \n",
    "    decimal=\".\", \n",
    "    filepath_or_buffer=\"players_20.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Dropping extra columns we don't need "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-26T16:45:22.921347Z",
     "iopub.status.busy": "2021-03-26T16:45:22.920672Z",
     "iopub.status.idle": "2021-03-26T16:45:22.968553Z",
     "shell.execute_reply": "2021-03-26T16:45:22.966680Z",
     "shell.execute_reply.started": "2021-03-26T16:45:22.921271Z"
    }
   },
   "outputs": [],
   "source": [
    "data = data.drop(\n",
    "    columns=[\"player_url\",\"long_name\",\"nationality\",\"real_face\",\"player_tags\",\"team_jersey_number\",\"loaned_from\",\"joined\",\"contract_valid_until\",\"nation_position\",\"nation_jersey_number\"\n",
    "            , \"dob\",\"player_positions\",\"sofifa_id\",\"release_clause_eur\",\"value_eur\", \"player_traits\",\n",
    "            \"gk_diving\",\"gk_handling\",\"gk_kicking\",\"gk_reflexes\",\"gk_speed\",\"gk_positioning\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Cleaning the \"Body Type\" Column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-26T16:45:22.977878Z",
     "iopub.status.busy": "2021-03-26T16:45:22.977307Z",
     "iopub.status.idle": "2021-03-26T16:45:23.031335Z",
     "shell.execute_reply": "2021-03-26T16:45:23.030384Z",
     "shell.execute_reply.started": "2021-03-26T16:45:22.977822Z"
    }
   },
   "outputs": [],
   "source": [
    "data[\"standard_bodytype\"] = data.eval(\"body_type in ['Normal', 'Lean', 'Stocky']\", engine=\"python\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-26T16:45:23.034870Z",
     "iopub.status.busy": "2021-03-26T16:45:23.034547Z",
     "iopub.status.idle": "2021-03-26T16:45:23.046160Z",
     "shell.execute_reply": "2021-03-26T16:45:23.045406Z",
     "shell.execute_reply.started": "2021-03-26T16:45:23.034839Z"
    }
   },
   "outputs": [],
   "source": [
    "data[\"body_type_clean\"] = data[\"body_type\"].fdt.replace_based_on_condition(\n",
    "    when=False, \n",
    "    cond=data[\"standard_bodytype\"], \n",
    "    replace_with=\"Normal\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Convert \"text\" variables to \"dummy variables\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-26T16:45:23.049910Z",
     "iopub.status.busy": "2021-03-26T16:45:23.049520Z",
     "iopub.status.idle": "2021-03-26T16:45:23.104816Z",
     "shell.execute_reply": "2021-03-26T16:45:23.104022Z",
     "shell.execute_reply.started": "2021-03-26T16:45:23.049881Z"
    }
   },
   "outputs": [],
   "source": [
    "data = pd.get_dummies(\n",
    "    dummy_na=False, \n",
    "    data=data, \n",
    "    columns=[\"preferred_foot\",\"body_type_clean\",\"work_rate\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-26T16:45:23.107929Z",
     "iopub.status.busy": "2021-03-26T16:45:23.107401Z",
     "iopub.status.idle": "2021-03-26T16:45:23.131470Z",
     "shell.execute_reply": "2021-03-26T16:45:23.130662Z",
     "shell.execute_reply.started": "2021-03-26T16:45:23.107880Z"
    }
   },
   "outputs": [],
   "source": [
    "data = data.drop(\n",
    "    columns=[\"body_type\",\"standard_bodytype\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Drop \"NA\" values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-26T16:45:23.136402Z",
     "iopub.status.busy": "2021-03-26T16:45:23.136039Z",
     "iopub.status.idle": "2021-03-26T16:45:23.180456Z",
     "shell.execute_reply": "2021-03-26T16:45:23.179625Z",
     "shell.execute_reply.started": "2021-03-26T16:45:23.136369Z"
    }
   },
   "outputs": [],
   "source": [
    "data = data.dropna(\n",
    "    axis=\"index\", \n",
    "    how=\"any\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6. Remove unwanted characters \"+/-\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-26T16:45:23.185615Z",
     "iopub.status.busy": "2021-03-26T16:45:23.185261Z",
     "iopub.status.idle": "2021-03-26T16:45:24.300141Z",
     "shell.execute_reply": "2021-03-26T16:45:24.299005Z",
     "shell.execute_reply.started": "2021-03-26T16:45:23.185587Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/peremolinsayuso/opt/anaconda3/envs/dev_react_jupyterlab/lib/python3.7/site-packages/pandas/core/strings/accessor.py:101: UserWarning: This pattern has match groups. To actually get the groups, use str.extract.\n",
      "  return func(self, *args, **kwargs)\n"
     ]
    }
   ],
   "source": [
    "data = data.fdt.clean_text_columns(\n",
    "    keep_unmatched=True, \n",
    "    columns=['ls', 'st', 'rs',\n",
    "       'lw', 'lf', 'cf', 'rf', 'rw', 'lam', 'cam', 'ram', 'lm', 'lcm', 'cm',\n",
    "       'rcm', 'rm', 'lwb', 'ldm', 'cdm', 'rdm', 'rwb', 'lb', 'lcb', 'cb',\n",
    "       'rcb', 'rb'], \n",
    "    mode=\"before_character\", \n",
    "    character=\"-\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-26T16:45:24.302013Z",
     "iopub.status.busy": "2021-03-26T16:45:24.301637Z",
     "iopub.status.idle": "2021-03-26T16:45:25.386926Z",
     "shell.execute_reply": "2021-03-26T16:45:25.386026Z",
     "shell.execute_reply.started": "2021-03-26T16:45:24.301966Z"
    }
   },
   "outputs": [],
   "source": [
    "data = data.fdt.clean_text_columns(\n",
    "    keep_unmatched=True, \n",
    "    columns=['ls', 'st', 'rs',\n",
    "       'lw', 'lf', 'cf', 'rf', 'rw', 'lam', 'cam', 'ram', 'lm', 'lcm', 'cm',\n",
    "       'rcm', 'rm', 'lwb', 'ldm', 'cdm', 'rdm', 'rwb', 'lb', 'lcb', 'cb',\n",
    "       'rcb', 'rb'], \n",
    "    mode=\"before_character\", \n",
    "    character=\"+\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 7. Choose your player (in our case, \"Messi\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-26T16:45:25.388837Z",
     "iopub.status.busy": "2021-03-26T16:45:25.388347Z",
     "iopub.status.idle": "2021-03-26T16:45:25.419486Z",
     "shell.execute_reply": "2021-03-26T16:45:25.413472Z",
     "shell.execute_reply.started": "2021-03-26T16:45:25.388783Z"
    }
   },
   "outputs": [],
   "source": [
    "messi = data.query(\"short_name=='L. Messi'\", engine=\"python\").copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 8. <font color='red'>Filter for your parameters: </font>\n",
    "### a. First, only want Messi's positions, Right Winger \"RW\" \n",
    "### b. Next, we want players whose wages are less than 100K / week\n",
    "### c. Finally, we want players who are 25 or younger\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-26T16:45:25.429972Z",
     "iopub.status.busy": "2021-03-26T16:45:25.427239Z",
     "iopub.status.idle": "2021-03-26T16:45:25.465551Z",
     "shell.execute_reply": "2021-03-26T16:45:25.455645Z",
     "shell.execute_reply.started": "2021-03-26T16:45:25.429885Z"
    }
   },
   "outputs": [],
   "source": [
    "data = data.query(\"(team_position in ['RW'] and wage_eur < 200000 and age <= 25)\", engine=\"python\").copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 9. Remove unwanted cells"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-26T16:45:25.476999Z",
     "iopub.status.busy": "2021-03-26T16:45:25.476065Z",
     "iopub.status.idle": "2021-03-26T16:45:25.486594Z",
     "shell.execute_reply": "2021-03-26T16:45:25.485487Z",
     "shell.execute_reply.started": "2021-03-26T16:45:25.476939Z"
    }
   },
   "outputs": [],
   "source": [
    "data = data.drop(\n",
    "    columns=[\"club\",\"team_position\", \"wage_eur\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-26T16:45:25.489047Z",
     "iopub.status.busy": "2021-03-26T16:45:25.488577Z",
     "iopub.status.idle": "2021-03-26T16:45:25.499577Z",
     "shell.execute_reply": "2021-03-26T16:45:25.498320Z",
     "shell.execute_reply.started": "2021-03-26T16:45:25.488994Z"
    }
   },
   "outputs": [],
   "source": [
    "data = data.set_index('short_name')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-26T16:45:25.502265Z",
     "iopub.status.busy": "2021-03-26T16:45:25.501733Z",
     "iopub.status.idle": "2021-03-26T16:45:25.512804Z",
     "shell.execute_reply": "2021-03-26T16:45:25.510413Z",
     "shell.execute_reply.started": "2021-03-26T16:45:25.502210Z"
    }
   },
   "outputs": [],
   "source": [
    "messi = messi.drop(\n",
    "    columns=[\"short_name\",\"club\",\"team_position\", \"wage_eur\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## We now have two datasets:\n",
    "    One Vector with Messi's characteristics \n",
    "    One dataset with all Right Wingers"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 10. Convert all cells to numeric cells (we will need this to calculate the Euclidean distance)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-26T16:45:25.515750Z",
     "iopub.status.busy": "2021-03-26T16:45:25.514886Z",
     "iopub.status.idle": "2021-03-26T16:45:25.548317Z",
     "shell.execute_reply": "2021-03-26T16:45:25.546435Z",
     "shell.execute_reply.started": "2021-03-26T16:45:25.515685Z"
    }
   },
   "outputs": [],
   "source": [
    "data = data.apply(\n",
    "    func=pd.to_numeric)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-26T16:45:25.550365Z",
     "iopub.status.busy": "2021-03-26T16:45:25.549851Z",
     "iopub.status.idle": "2021-03-26T16:45:25.601903Z",
     "shell.execute_reply": "2021-03-26T16:45:25.600893Z",
     "shell.execute_reply.started": "2021-03-26T16:45:25.550314Z"
    }
   },
   "outputs": [],
   "source": [
    "messi = messi.apply(\n",
    "    func=pd.to_numeric)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 11. Run the Euclidean Distance function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-26T16:45:25.605264Z",
     "iopub.status.busy": "2021-03-26T16:45:25.604179Z",
     "iopub.status.idle": "2021-03-26T16:45:25.631582Z",
     "shell.execute_reply": "2021-03-26T16:45:25.627514Z",
     "shell.execute_reply.started": "2021-03-26T16:45:25.605208Z"
    }
   },
   "outputs": [],
   "source": [
    "result = euclidean_distance(data,\n",
    "    df2=messi)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 12. Get your result! "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Sort by distance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-26T16:45:25.654190Z",
     "iopub.status.busy": "2021-03-26T16:45:25.653540Z",
     "iopub.status.idle": "2021-03-26T16:45:25.699831Z",
     "shell.execute_reply": "2021-03-26T16:45:25.673366Z",
     "shell.execute_reply.started": "2021-03-26T16:45:25.654126Z"
    }
   },
   "outputs": [],
   "source": [
    "result = result.sort_values(\n",
    "    by=\"eucl_d\", \n",
    "    ascending=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Get top 20"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-26T16:45:25.724861Z",
     "iopub.status.busy": "2021-03-26T16:45:25.724423Z",
     "iopub.status.idle": "2021-03-26T16:45:25.736593Z",
     "shell.execute_reply": "2021-03-26T16:45:25.732523Z",
     "shell.execute_reply.started": "2021-03-26T16:45:25.724813Z"
    }
   },
   "outputs": [],
   "source": [
    "top_twenty = result.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-03-26T17:21:17.947175Z",
     "iopub.status.busy": "2021-03-26T17:21:17.946837Z",
     "iopub.status.idle": "2021-03-26T17:21:18.113782Z",
     "shell.execute_reply": "2021-03-26T17:21:18.111722Z",
     "shell.execute_reply.started": "2021-03-26T17:21:17.947126Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "alignmentgroup": "True",
         "hovertemplate": "short_name=%{x}<br>eucl_d=%{y}<extra></extra>",
         "legendgroup": "",
         "marker": {
          "color": "#636efa"
         },
         "name": "",
         "offsetgroup": "",
         "orientation": "v",
         "showlegend": false,
         "textposition": "auto",
         "type": "bar",
         "x": [
          "K. Mbappé",
          "S. Gnabry",
          "Anderson Talisca",
          "H. Lozano",
          "Munir",
          "Raphinha",
          "B. Traoré",
          "D. Berardi",
          "Iñaki Williams",
          "Vinícius Jr.",
          "A. Januzaj",
          "F. Chiesa",
          "Bruno Tabata",
          "Ayoze Pérez",
          "Trezeguet",
          "Iuri Medeiros",
          "P. Tau",
          "Y. Karamoh",
          "C. Stengs",
          "Lourency"
         ],
         "xaxis": "x",
         "y": [
          71.47726911403373,
          93.44517108978933,
          96.77809669548166,
          101.83810681665287,
          103.46496991735899,
          109.4486180817282,
          110.95043938624129,
          117.14947716485976,
          117.63502879669814,
          119.9249765478401,
          122.87798826478239,
          124.81586437628832,
          127.3184982632139,
          127.68711759609894,
          129.0620006043607,
          134.71822445385777,
          139.79985693841036,
          143.7463043003193,
          144.34680460612904,
          147.16657229140046
         ],
         "yaxis": "y"
        }
       ],
       "layout": {
        "autosize": true,
        "barmode": "relative",
        "legend": {
         "tracegroupgap": 0
        },
        "margin": {
         "t": 60
        },
        "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
          },
          "autotypenumbers": "strict",
          "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
          }
         }
        },
        "xaxis": {
         "anchor": "y",
         "autorange": true,
         "domain": [
          0,
          1
         ],
         "range": [
          -0.5,
          19.5
         ],
         "title": {
          "text": "short_name"
         },
         "type": "category"
        },
        "yaxis": {
         "anchor": "x",
         "autorange": true,
         "domain": [
          0,
          1
         ],
         "range": [
          0,
          154.9121813593689
         ],
         "title": {
          "text": "eucl_d"
         },
         "type": "linear"
        }
       }
      },
      "text/html": [
       "<div>                            <div id=\"4d784e69-a5a1-4427-8fc4-904a196c3dbd\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"4d784e69-a5a1-4427-8fc4-904a196c3dbd\")) {                    Plotly.newPlot(                        \"4d784e69-a5a1-4427-8fc4-904a196c3dbd\",                        [{\"alignmentgroup\": \"True\", \"hovertemplate\": \"short_name=%{x}<br>eucl_d=%{y}<extra></extra>\", \"legendgroup\": \"\", \"marker\": {\"color\": \"#636efa\"}, \"name\": \"\", \"offsetgroup\": \"\", \"orientation\": \"v\", \"showlegend\": false, \"textposition\": \"auto\", \"type\": \"bar\", \"x\": [\"K. Mbapp\\u00e9\", \"S. Gnabry\", \"Anderson Talisca\", \"H. Lozano\", \"Munir\", \"Raphinha\", \"B. Traor\\u00e9\", \"D. Berardi\", \"I\\u00f1aki Williams\", \"Vin\\u00edcius Jr.\", \"A. Januzaj\", \"F. Chiesa\", \"Bruno Tabata\", \"Ayoze P\\u00e9rez\", \"Trezeguet\", \"Iuri Medeiros\", \"P. Tau\", \"Y. Karamoh\", \"C. Stengs\", \"Lourency\"], \"xaxis\": \"x\", \"y\": [71.47726911403373, 93.44517108978933, 96.77809669548166, 101.83810681665287, 103.46496991735899, 109.4486180817282, 110.95043938624129, 117.14947716485976, 117.63502879669814, 119.9249765478401, 122.87798826478239, 124.81586437628832, 127.3184982632139, 127.68711759609894, 129.0620006043607, 134.71822445385777, 139.79985693841036, 143.7463043003193, 144.34680460612904, 147.16657229140046], \"yaxis\": \"y\"}],                        {\"barmode\": \"relative\", \"legend\": {\"tracegroupgap\": 0}, \"margin\": {\"t\": 60}, \"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}, \"autotypenumbers\": \"strict\", \"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}}}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"short_name\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"eucl_d\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('4d784e69-a5a1-4427-8fc4-904a196c3dbd');\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",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "px.bar(top_twenty,\n",
    "    x=\"short_name\", \n",
    "    y=\"eucl_d\")"
   ]
  },
  {
   "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": "3.7.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}