AutomaticCoachReport.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/f1li/FDA/blob/main/AutomaticCoachReport.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
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      "execution_count": null,
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        "cellView": "form",
        "outputId": "c2125122-217c-41ea-c0c9-d8fd230bc43f"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n",
            "/content/drive/MyDrive/WyScout\n"
          ]
        },
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              "         \n",
              "        }</style>"
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            "application/javascript": [
              "window[\"31944ade-3c40-11ed-85c5-0242ac1c0002\"] = document.querySelector(\"#id6-0-0\");\n",
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              "window[\"3194c464-3c40-11ed-85c5-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"31944ade-3c40-11ed-85c5-0242ac1c0002\"]);\n",
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          "text": [
            "\n",
            "\n"
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\n"
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          "metadata": {}
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              "//# sourceURL=js_fb7bd6de50"
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            "application/javascript": [
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              "//# sourceURL=js_4993853acc"
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            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Button(description='Baroni M.', style=ButtonStyle())"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "afb8eb0d87674ff084c90545edeb9579"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31a10dbe-3c40-11ed-85c5-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"319c4b8a-3c40-11ed-85c5-0242ac1c0002\"]);\n",
              "//# sourceURL=js_0297b36607"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31a40cd0-3c40-11ed-85c5-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_2074e3ae09"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31a48750-3c40-11ed-85c5-0242ac1c0002\"] = document.querySelector(\"#id6-0-2\");\n",
              "//# sourceURL=js_c700738c5a"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31a5048c-3c40-11ed-85c5-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"31a48750-3c40-11ed-85c5-0242ac1c0002\"]);\n",
              "//# sourceURL=js_efe1281bbb"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<PIL.Image.Image image mode=P size=100x100 at 0x7F566F79FE10>"
            ],
            "image/png": 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dXf7EVE9luYeWZAmck/znBdZ7LQZ659PLIB/+5x/WJ3fu9r3rWjqxqtT/ScLI5FYuYpAnghSwyEpF5dV6vX7gsWMhD6zH9Qkhvuvq5l3E5DUpmt5cckoik/xfGTiBdKnRrPCB9UePgjyyFsbJyV3Dbbm20wmNaTkC1nJCKyfnsEdfMj2akqDw9zDincsh34HI67trgZwYFxpEDBOaXfr5cL5I7qQuWcFYBcxqdXJnryzX3oe4i6tBes+AkB0aWWdBS2WHWdHbkJtlf0AgXUAzs4KeT147b+Z257EHKuEMsjZ2tyVPSZgaPZogj9CnIwfHNWRbAym2Ndn39ZvrB/dAPvHIjiCUk7v87MiGaN7zlSM4lHNUD27Roixy76CuGYcKQdd/9w6uk369fuT9kP8ChxBuXOA1nTIAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Button(description='Dionisi A.', style=ButtonStyle())"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "791274e452aa4b09844f2f8f3ad9076c"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31acebca-3c40-11ed-85c5-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"31a40cd0-3c40-11ed-85c5-0242ac1c0002\"]);\n",
              "//# sourceURL=js_680dcb2198"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31b2c694-3c40-11ed-85c5-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_b427a72ecf"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31b439fc-3c40-11ed-85c5-0242ac1c0002\"] = document.querySelector(\"#id6-0-3\");\n",
              "//# sourceURL=js_909339c7c4"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31b4f0ea-3c40-11ed-85c5-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"31b439fc-3c40-11ed-85c5-0242ac1c0002\"]);\n",
              "//# sourceURL=js_33eef60ec8"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<PIL.Image.Image image mode=P size=100x100 at 0x7F5673172FD0>"
            ],
            "image/png": 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Twu40TyKMgPYzl4X8cIJAHD+Lgtgqk4KYsLG4Ks9T7oJYLoPu05eErFWRGs8jq5gYVraQKGw5fyEj113Xbp1QD4DcKaNwKRTZyLnIT/asWhU8T9dgHHJd15l+67C9H7LStExdM/9kV4eATWTDnU/JnlvsuFzBz3MXiy1b+EMg4mPu37GFRKKs90AcUuBy5j8TPuUn4MFi0ez4r4Y9kF+Qwgl+OfoPVaZCT+GoisiTLHHOENIuFov+UpDVNVk6tyKYwEqZSWQ2jSrGWppmSWpD+fpvIcelIKtG+0Yl+x3RQiCILURbCodErTDUYjdlL+RO7xZBJP6zFBaUijvdKkO3aroziiwWz18GAlVEtAxI0kvYdX3SZBj9nGc0a8ji15eBPO64i/IjFhOfn3b0kpqzJK/67lZF4Px3XwLS6R77czRZTg2sL33a9DhmM2crtcHYFmIHQGpMdk4OjhN9I1MFhrA0r4qJUZyFLDYyfy/k1UIpOgGcnrfGNT3bI5K/N90WRajLbZ8Y7IV8u2iVZgHOxA+9//Rmlrm0Pf13hnZxO+X5r1wMYlyr2Zf48QyGL4+oUneqRtfNbocA058pynshR111zC9PdMLY6j0j68Mz/23SbzKIaf68lvE/AExQbjMgCA4AAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Button(description='Gasperini G.', style=ButtonStyle())"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "703f3c457ae647f3bf3769099f2a3e3d"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31ba0fee-3c40-11ed-85c5-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"31b2c694-3c40-11ed-85c5-0242ac1c0002\"]);\n",
              "//# sourceURL=js_8d062fab37"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31bd514a-3c40-11ed-85c5-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_652ca2300d"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31be4b90-3c40-11ed-85c5-0242ac1c0002\"] = document.querySelector(\"#id6-0-4\");\n",
              "//# sourceURL=js_9c227162f9"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31bed236-3c40-11ed-85c5-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"31be4b90-3c40-11ed-85c5-0242ac1c0002\"]);\n",
              "//# sourceURL=js_017421e8ba"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<PIL.Image.Image image mode=P size=100x100 at 0x7F566DEC1790>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Button(description='Gotti L.', style=ButtonStyle())"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "2b278b3e1ff14fc0a4362b71d7b92e82"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31c2f140-3c40-11ed-85c5-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"31bd514a-3c40-11ed-85c5-0242ac1c0002\"]);\n",
              "//# sourceURL=js_b505c0be70"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31c6dc38-3c40-11ed-85c5-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_d380b39754"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31c7966e-3c40-11ed-85c5-0242ac1c0002\"] = document.querySelector(\"#id6-0-5\");\n",
              "//# sourceURL=js_82cc2a2f97"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31c84ca8-3c40-11ed-85c5-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"31c7966e-3c40-11ed-85c5-0242ac1c0002\"]);\n",
              "//# sourceURL=js_1c8c60967d"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<PIL.Image.Image image mode=P size=100x100 at 0x7F566DC02B10>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Button(description='Inzaghi S.', style=ButtonStyle())"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "724864dc9299471e942939eb0986495b"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31cb92f0-3c40-11ed-85c5-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"31c6dc38-3c40-11ed-85c5-0242ac1c0002\"]);\n",
              "//# sourceURL=js_ac211a7bc1"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31cea134-3c40-11ed-85c5-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_9b47301ad8"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31cf1614-3c40-11ed-85c5-0242ac1c0002\"] = document.querySelector(\"#id6-0-0\");\n",
              "//# sourceURL=js_925556abfe"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31cf7d8e-3c40-11ed-85c5-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"31cf1614-3c40-11ed-85c5-0242ac1c0002\"]);\n",
              "//# sourceURL=js_209bcea200"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<PIL.Image.Image image mode=P size=100x100 at 0x7F566DE8FA90>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Button(description='Italiano V.', style=ButtonStyle())"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "14c91deccc8a4611b3ff417aa0fe20ea"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31d27ee4-3c40-11ed-85c5-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"31cea134-3c40-11ed-85c5-0242ac1c0002\"]);\n",
              "//# sourceURL=js_18d545a970"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31d6ee7a-3c40-11ed-85c5-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_2e4a14ca88"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31d764cc-3c40-11ed-85c5-0242ac1c0002\"] = document.querySelector(\"#id6-0-1\");\n",
              "//# sourceURL=js_772aaed001"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31d7d1a0-3c40-11ed-85c5-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"31d764cc-3c40-11ed-85c5-0242ac1c0002\"]);\n",
              "//# sourceURL=js_a37476db0d"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<PIL.Image.Image image mode=P size=100x100 at 0x7F566DEC1E50>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Button(description='Juric I.', style=ButtonStyle())"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "418d35ac1c3e4371b8aefd8f3c6889ed"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31db0ec4-3c40-11ed-85c5-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"31d6ee7a-3c40-11ed-85c5-0242ac1c0002\"]);\n",
              "//# sourceURL=js_4e5b76ad60"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31ddfe4a-3c40-11ed-85c5-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_1dcd8ba8b0"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31de6db2-3c40-11ed-85c5-0242ac1c0002\"] = document.querySelector(\"#id6-0-2\");\n",
              "//# sourceURL=js_aa4289fa4d"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31dedd7e-3c40-11ed-85c5-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"31de6db2-3c40-11ed-85c5-0242ac1c0002\"]);\n",
              "//# sourceURL=js_e44fa880ae"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<PIL.Image.Image image mode=P size=100x100 at 0x7F566DEC1A90>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Button(description='Nicola D.', style=ButtonStyle())"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "a2d9553fba0a432f96e6c4cd8a2c391b"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31e3c578-3c40-11ed-85c5-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"31ddfe4a-3c40-11ed-85c5-0242ac1c0002\"]);\n",
              "//# sourceURL=js_ea016dd63d"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31e6591e-3c40-11ed-85c5-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_0257f04795"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31e6c7d2-3c40-11ed-85c5-0242ac1c0002\"] = document.querySelector(\"#id6-0-3\");\n",
              "//# sourceURL=js_bdb917b108"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31e73726-3c40-11ed-85c5-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"31e6c7d2-3c40-11ed-85c5-0242ac1c0002\"]);\n",
              "//# sourceURL=js_8da7240f16"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<PIL.Image.Image image mode=P size=100x100 at 0x7F566D8B8590>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Button(description='Pioli S.', style=ButtonStyle())"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "83817df38c0d4b0abceee1fe5517d9bb"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31ea43b2-3c40-11ed-85c5-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"31e6591e-3c40-11ed-85c5-0242ac1c0002\"]);\n",
              "//# sourceURL=js_d9f44d4b05"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31ed1f4c-3c40-11ed-85c5-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_62a7868bed"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31ed981e-3c40-11ed-85c5-0242ac1c0002\"] = document.querySelector(\"#id6-0-4\");\n",
              "//# sourceURL=js_96bf524ce6"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31ee2126-3c40-11ed-85c5-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"31ed981e-3c40-11ed-85c5-0242ac1c0002\"]);\n",
              "//# sourceURL=js_078092b158"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<PIL.Image.Image image mode=P size=100x100 at 0x7F566D8B8090>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Button(description='Sottil A.', style=ButtonStyle())"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "396ab83673704858ac9549ce610328bd"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31f28b26-3c40-11ed-85c5-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"31ed1f4c-3c40-11ed-85c5-0242ac1c0002\"]);\n",
              "//# sourceURL=js_4fdb7a1d1d"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31f6fb5c-3c40-11ed-85c5-0242ac1c0002\"] = google.colab.output.getActiveOutputArea();\n",
              "//# sourceURL=js_07ec0aa63f"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31f7a1e2-3c40-11ed-85c5-0242ac1c0002\"] = document.querySelector(\"#id6-0-5\");\n",
              "//# sourceURL=js_3e53d891d7"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31f835c6-3c40-11ed-85c5-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"31f7a1e2-3c40-11ed-85c5-0242ac1c0002\"]);\n",
              "//# sourceURL=js_1eebb4efbe"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<PIL.Image.Image image mode=P size=100x100 at 0x7F566D8B8D90>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Button(description='Zanetti P.', style=ButtonStyle())"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "3e1158d73769471d9440fa4a2997125c"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "window[\"31fb4b4e-3c40-11ed-85c5-0242ac1c0002\"] = google.colab.output.setActiveOutputArea(window[\"31f6fb5c-3c40-11ed-85c5-0242ac1c0002\"]);\n",
              "//# sourceURL=js_7b29e0b154"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Selezionare il Mister da analizzare:\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Output()"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "7d6e5297ff6646d7834f9ad823e12461"
            }
          },
          "metadata": {}
        }
      ],
      "source": [
        "#@title Selezione Analisi\n",
        "!pip install highlight_text --quiet\n",
        "!pip install matplotlib --upgrade --quiet\n",
        "\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import requests\n",
        "from requests.auth import HTTPBasicAuth\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "import matplotlib.ticker as ticker\n",
        "import matplotlib.patheffects as path_effects\n",
        "import matplotlib.font_manager as fm\n",
        "from matplotlib import rcParams\n",
        "\n",
        "from matplotlib.offsetbox import OffsetImage, AnnotationBbox\n",
        "import ipywidgets\n",
        "from ipywidgets import widgets\n",
        "from IPython.display import clear_output\n",
        "\n",
        "from PIL import Image\n",
        "import urllib\n",
        "\n",
        "import plotly.graph_objects as go\n",
        "from highlight_text import fig_text\n",
        "from google.colab import widgets\n",
        "\n",
        "import os\n",
        "import json\n",
        "\n",
        "# Replace below values with your own\n",
        "username = 'qjpuw3t-yf3bvhgms-8d0gift-bm2fprvs4z'\n",
        "token =  '7*.w$Ivko$FpRsbumn0gF(0Kc5yMAI'\n",
        "base_url = 'https://apirest.wyscout.com/v3{}'\n",
        "\n",
        "\n",
        "Lega ={\n",
        "    'Serie A' : 524,\n",
        "    'Serie B' : 527\n",
        "}\n",
        "\n",
        "Stagione21_22 = {\n",
        "    'Serie A' : (Lega['Serie A'], 187528),\n",
        "    'Serie B' : (Lega['Serie B'], 187575)\n",
        "}\n",
        "\n",
        "Stagione20_21 = {\n",
        "    'Serie A' : (Lega['Serie A'], 186353),\n",
        "    'Serie B' : (Lega['Serie B'], 186386)\n",
        "}\n",
        "\n",
        "teams_2122_A = {3157: 'Milan', 3158: 'Roma', 3159: 'Juventus',  3161: 'Internazionale',  3162: 'Lazio',  3163: 'Udinese',  3164: 'Sampdoria',  3166: 'Bologna',  3172: 'Atalanta', 3173: 'Cagliari', \n",
        "                3176: 'Fiorentina', 3178: 'Empoli', 3185: 'Torino', 3187: 'Napoli', 3191: 'Venezia', 3192: 'Salernitana', 3193: 'Genoa', 3194: 'Hellas Verona', 3205: 'Spezia', 3315: 'Sassuolo'}\n",
        "\n",
        "teams_2122_B = {3160: 'Parma', 3167: 'Brescia', 3168: 'Lecce', 3170: 'Reggina', 3179: 'Perugia', 3182: 'Ternana', 3186: 'Vicenza', 3188: 'Ascoli', 3197: 'Crotone', 3200: 'Como', 3204: 'Spal',\n",
        "                3207: 'Pisa', 3208: 'Cittadella', 3219: 'Benevento', 3235: 'Cremonese', 3236: 'Monza', 3244: 'Alessandria', 3254: 'Frosinone', 3311: 'Cosenza', 3426: 'Pordenone'}\n",
        "\n",
        "teams_2021_A = {3157: 'Milan', 3158: 'Roma', 3159: 'Juventus', 3160: 'Parma', 3161: 'Internazionale', 3162: 'Lazio', 3163: 'Udinese', 3164: 'Sampdoria', 3166: 'Bologna', 3172: 'Atalanta', 3173: 'Cagliari',\n",
        "                3176: 'Fiorentina', 3185: 'Torino', 3187: 'Napoli', 3193: 'Genoa', 3194: 'Hellas Verona', 3197: 'Crotone', 3205: 'Spezia', 3219: 'Benevento', 3315: 'Sassuolo'}\n",
        "\n",
        "teams_2021_B = {3165: 'Chievo', 3167: 'Brescia', 3168: 'Lecce', 3170: 'Reggina', 3178: 'Empoli', 3186: 'Vicenza', 3188: 'Ascoli', 3191: 'Venezia', 3192: 'Salernitana', 3199: 'Pescara', 3204: 'Spal',\n",
        "                3207: 'Pisa', 3208: 'Cittadella', 3211: 'Reggiana', 3235: 'Cremonese', 3236: 'Monza', 3254: 'Frosinone', 3311: 'Cosenza', 3404: 'Virtus Entella', 3426: 'Pordenone'}\n",
        "\n",
        "teams = ['Fiorentina', 'Milan', 'Atalanta', 'Bologna', 'Cremonese', 'Empoli', 'Hellas Verona', 'Internazionale', 'Juventus',\n",
        "         'Lazio', 'Lecce', 'Monza', 'Roma', 'Napoli', 'Salernitana', 'Sampdoria', 'Sassuolo', 'Spezia', 'Torino', 'Udinese',\n",
        "         'Genoa', 'Cagliari', 'Venezia', 'Benevento', 'Crotone', 'Parma', 'Brescia', 'Spal',\n",
        "         'Alessandria', 'Ascoli', 'Cittadella', 'Como', 'Cosenza', 'Frosinone',\n",
        "         'Vicenza', 'Perugia', 'Pisa', 'Pordenone', 'Reggina', 'Ternana', 'Pescara', 'Reggiana', 'Virtus Entella',\n",
        "         'Chievo', 'Juve Stabia', 'Livorno', 'Trapani']\n",
        "footId = [8535, 8564, 8524, 9857, 7801, 8534, 9876, 8636, 9885, 8543, 9888, 6504, 8686, 9875,\n",
        "          6480, 9882, 7943, 9881, 9804, 8600, 10233, 8529, 7881, 6266, 9884, 10167, 9858, 8547,\n",
        "          6503, 8522, 6485, 10171, 6456, 9891, 145007, 8685, 6479, 465613, 8690, 6457, 9878, 959006, 208932,\n",
        "          8533, 6106, 8537, 208936]\n",
        "\n",
        "Tecnico = ['Baroni M.', 'Dionisi A.', 'Sottil A.', 'Alvini M.', 'Gasperini G.', 'Gotti L.', 'Juric I.', 'Inzaghi S.', 'Italiano V.', 'Nicola D.', 'Pioli S.', 'P. Zanetti']\n",
        "Lega21_22_id = [527, 524, 527, 527, 524, 524, 524, 524, 524, 524, 524, 524]\n",
        "Stagione21_22_id = [187575, 187528, 187575, 187575, 187528, 187528, 187528, 187528, 187528, 187528, 187528, 187528]\n",
        "Team21_22_id = [3168, 3315, 3188, 3179, 3172, 3163, 3185, 3161, 3176, 3192, 3157, 3191]\n",
        "\n",
        "Lega20_21_id = [527, 527, 527, 527, 524, 524, 524, 524, 524, 524, 524, 527]\n",
        "Stagione20_21_id = [186386, 186386, 186386, 186386, 186353, 186353, 186353, 186353, 186353, 186353, 186353, 186386]\n",
        "Team20_21_id = [3170, 3178, 3188, 3211, 3172, 3163, 3194, 3162, 3205, 3185, 3157, 3191]\n",
        "\n",
        "Tecnico_df = pd.DataFrame({'Tecnico':Tecnico, 'Lega2122': Lega21_22_id, 'Stagione2122':Stagione21_22_id, 'Team2122':Team21_22_id,\n",
        "                           'Lega2021': Lega20_21_id, 'Stagione2021':Stagione20_21_id, 'Team2021':Team20_21_id,})\n",
        "\n",
        "footMob = {}\n",
        "for a, b in zip(teams, footId):\n",
        "    footMob[a] = b\n",
        "footTeams = pd.DataFrame({'team': teams, 'footId': footId})\n",
        "\n",
        "from google.colab import drive\n",
        "drive.mount('/content/drive')\n",
        "%cd /content/drive/MyDrive/WyScout\n",
        "\n",
        "\n",
        "output = ipywidgets.widgets.Output()\n",
        "\n",
        "alvini_url = \"https://images.fotmob.com/image_resources/playerimages/1188285.png\"\n",
        "alvini_im = Image.open(requests.get(alvini_url, stream=True).raw)\n",
        "\n",
        "baroni_url = \"https://images.fotmob.com/image_resources/playerimages/187735.png\"\n",
        "baroni_im = Image.open(requests.get(baroni_url, stream=True).raw)\n",
        "\n",
        "dionisi_url = \"https://images.fotmob.com/image_resources/playerimages/1134554.png\"\n",
        "dionisi_im = Image.open(requests.get(dionisi_url, stream=True).raw)\n",
        "\n",
        "gasperini_url = \"https://images.fotmob.com/image_resources/playerimages/96945.png\"\n",
        "gasperini_im = Image.open(requests.get(gasperini_url, stream=True).raw)\n",
        "\n",
        "gotti_url = \"https://images.fotmob.com/image_resources/playerimages/1104186.png\"\n",
        "gotti_im = Image.open(requests.get(gotti_url, stream=True).raw)\n",
        "\n",
        "inzaghi_url = \"https://images.fotmob.com/image_resources/playerimages/738044.png\"\n",
        "inzaghi_im = Image.open(requests.get(inzaghi_url, stream=True).raw)\n",
        "\n",
        "italiano_url = \"https://images.fotmob.com/image_resources/playerimages/1134565.png\"\n",
        "italiano_im = Image.open(requests.get(italiano_url, stream=True).raw)\n",
        "\n",
        "juric_url = \"https://images.fotmob.com/image_resources/playerimages/425743.png\"\n",
        "juric_im = Image.open(requests.get(juric_url, stream=True).raw)\n",
        "\n",
        "nicola_url = \"https://images.fotmob.com/image_resources/playerimages/474347.png\"\n",
        "nicola_im = Image.open(requests.get(nicola_url, stream=True).raw)\n",
        "\n",
        "pioli_url = \"https://images.fotmob.com/image_resources/playerimages/259440.png\"\n",
        "pioli_im = Image.open(requests.get(pioli_url, stream=True).raw)\n",
        "\n",
        "sottil_url = \"https://images.fotmob.com/image_resources/playerimages/1167056.png\"\n",
        "sottil_im = Image.open(requests.get(sottil_url, stream=True).raw)\n",
        "\n",
        "zanetti_url = \"https://images.fotmob.com/image_resources/playerimages/1141270.png\"\n",
        "zanetti_im = Image.open(requests.get(zanetti_url, stream=True).raw)\n",
        "\n",
        "image_name = []\n",
        "image_name.append({'name':'Alvini M.', 'image':alvini_im})\n",
        "image_name.append({'name':'Baroni M.', 'image':baroni_im})\n",
        "image_name.append({'name':'Dionisi A.', 'image':dionisi_im})\n",
        "image_name.append({'name':'Gasperini G.', 'image':gasperini_im})\n",
        "image_name.append({'name':'Gotti L.', 'image':gotti_im})\n",
        "image_name.append({'name':'Inzaghi S.', 'image':inzaghi_im})\n",
        "image_name.append({'name':'Italiano V.', 'image':italiano_im})\n",
        "image_name.append({'name':'Juric I.', 'image':juric_im})\n",
        "image_name.append({'name':'Nicola D.', 'image':nicola_im})\n",
        "image_name.append({'name':'Pioli S.', 'image':pioli_im})\n",
        "image_name.append({'name':'Sottil A.', 'image':sottil_im})\n",
        "image_name.append({'name':'Zanetti P.', 'image':zanetti_im})\n",
        "\n",
        "\n",
        "def on_button_clicked(b):\n",
        "  global Tecnico\n",
        "  Tecnico = str(b.description)\n",
        "  # Display the message within the output widget.\n",
        "  with output:\n",
        "    clear_output()\n",
        "    print('\\nInizio Analisi di Mister ', str(b.description))\n",
        "    if (str(b.description) == \"Alvini M.\"):\n",
        "      squadra2122 = \"Perugia\"\n",
        "      squadra2021 = \"Reggiana\"\n",
        "    elif (str(b.description) == \"Baroni M.\"):\n",
        "      squadra2122 = \"Lecce\"\n",
        "      squadra2021 = \"Lecce\"\n",
        "    elif (str(b.description) == \"Dionisi A.\"):\n",
        "      squadra2122 = \"Sassuolo\"\n",
        "      squadra2021 = \"Empoli\"\n",
        "    elif (str(b.description) == \"Gasperini G.\"):\n",
        "      squadra2122 = \"Atalanta\"\n",
        "      squadra2021 = \"Atalanta\"\n",
        "    elif (str(b.description) == \"Gotti L.\"):\n",
        "      squadra2122 = \"Udinese\"\n",
        "      squadra2021 = \"Udinese\"\n",
        "    elif (str(b.description) == \"Inzaghi S.\"):\n",
        "      squadra2122 = \"Inter\"\n",
        "      squadra2021 = \"Lazio\"\n",
        "    elif (str(b.description) == \"Italiano V.\"):\n",
        "      squadra2122 = \"Fiorentina\"\n",
        "      squadra2021 = \"Spezia\"\n",
        "    elif (str(b.description) == \"Juric I.\"):\n",
        "      squadra2122 = \"Torino\"\n",
        "      squadra2021 = \"Verona\"\n",
        "    elif (str(b.description) == \"Nicola D.\"):\n",
        "      squadra2122 = \"Salernitana\"\n",
        "      squadra2021 = \"Torino\"\n",
        "    elif (str(b.description) == \"Pioli S.\"):\n",
        "      squadra2122 = \"Milan\"\n",
        "      squadra2021 = \"Milan\"\n",
        "    elif (str(b.description) == \"Sottil A.\"):\n",
        "      squadra2122 = \"Ascoli\"\n",
        "      squadra2021 = \"Ascoli\"\n",
        "    elif (str(b.description) == \"Zanetti P.\"):\n",
        "      squadra2122 = \"Venezia\"\n",
        "      squadra2021 = \"Venezia\"\n",
        "    print(\"\\nSquadra 2021-22: \", squadra2122)\n",
        "    print(\"Squadra 2020-21: \", squadra2021,\"\\n\")\n",
        "    display('Proseguire col Notebook')\n",
        "\n",
        "button_list = []\n",
        "for i in range(0,12):\n",
        "  button = ipywidgets.widgets.Button(description=image_name[i]['name'])\n",
        "  button.on_click(on_button_clicked)\n",
        "  button_list.append(button) \n",
        "\n",
        "# arrange the sign images and buttons into two rows\n",
        "grid = widgets.Grid(1, 6, header_row=True, header_column=True) \n",
        "newsize = (100, 100)\n",
        "for (row, col) in grid:\n",
        "  index = row*6+col\n",
        "  print(\"\\n\")\n",
        "  display(image_name[index]['image'].resize(newsize))\n",
        "  #print(\"\\n\"+image_name[index]['name']+\"\\n\")\n",
        "  display(button_list[index])\n",
        "for (row, col) in grid:\n",
        "  index = row*6+col\n",
        "  print(\"\\n\")\n",
        "  display(image_name[index+6]['image'].resize(newsize))\n",
        "  #print(\"\\n\"+image_name[index]['name']+\"\\n\")\n",
        "  display(button_list[index+6])\n",
        "\n",
        "print('\\nSelezionare il Mister da analizzare:\\n')\n",
        "display(output)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aknW36XEJzbb",
        "outputId": "9df77509-28eb-4da2-96cd-875ca62d42b1",
        "cellView": "form"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Evaluating Team LineUPs 2021-22...\n",
            "----------------------------------\n",
            "Evaluating Team LineUPs 2020-21...\n",
            "----------------------------------\n",
            "Evaluating Team SUBS 2021-22...\n",
            "-------------------------------\n",
            "Evaluating Team SUBS 2021-22...\n",
            "-------------------------------\n"
          ]
        }
      ],
      "source": [
        "#@title (1) Fomazioni diverse e Sostituzioni: Logiche\n",
        "Lega2122 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Lega2122']\n",
        "Lega2122v = Lega2122.values[0]\n",
        "Lega2021 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Lega2021']\n",
        "Lega2021v = Lega2021.values[0]\n",
        "Stagione2122 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Stagione2122']\n",
        "Stagione2122v = Stagione2122.values[0]\n",
        "Stagione2021 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Stagione2021']\n",
        "Stagione2021v = Stagione2021.values[0]\n",
        "Team2122 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Team2122']\n",
        "Team2122v = Team2122.values[0]\n",
        "Team2021 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Team2021']\n",
        "Team2021v = Team2021.values[0]\n",
        "teams_2122 = teams_2122_A if (Lega2122v == Stagione21_22['Serie A'][0]) else teams_2122_B\n",
        "teams_2021 = teams_2021_A if (Lega2021v == Stagione20_21['Serie A'][0]) else teams_2021_B\n",
        "\n",
        "legakey_list = list(Lega.keys())\n",
        "legaval_list = list(Lega.values())\n",
        "position_2122 = legaval_list.index(Lega2122v)\n",
        "Lega2122text = legakey_list[position_2122]\n",
        "position_2021 = legaval_list.index(Lega2021v)\n",
        "Lega2021text = legakey_list[position_2021]\n",
        "\n",
        "if (Lega2122text=='Serie A'):\n",
        "  team2122_dict = teams_2122_A\n",
        "elif (Lega2122text == 'Serie B'): # B 21-22\n",
        "  team2122_dict = teams_2122_B\n",
        "Squadra2122text = team2122_dict[Team2122v]\n",
        "if (Lega2021text=='Serie A'):\n",
        "  team2021_dict = teams_2021_A\n",
        "elif (Lega2021text == 'Serie B'): # B 21-22\n",
        "  team2021_dict = teams_2021_B\n",
        "Squadra2021text = team2021_dict[Team2021v]\n",
        "\n",
        "### MATCHES 2122\n",
        "matches_2122 = []\n",
        "api_url = base_url.format(f'/seasons/{Stagione2122v}/matches')\n",
        "response = requests.get(api_url, auth=HTTPBasicAuth(username, token))\n",
        "if response.ok:\n",
        "  season_matches = response.json()['matches']\n",
        "for m in season_matches:\n",
        "  api_url = base_url.format('/matches/%s'%(m['matchId']))\n",
        "  response = requests.get(api_url, auth=HTTPBasicAuth(username, token))\n",
        "  if response.ok:\n",
        "    matches_2122.append(response.json())\n",
        "\n",
        "### MATCHES 2021\n",
        "matches_2021 = []\n",
        "api_url = base_url.format(f'/seasons/{Stagione2021v}/matches')\n",
        "response = requests.get(api_url, auth=HTTPBasicAuth(username, token))\n",
        "if response.ok:\n",
        "  season_matches = response.json()['matches']\n",
        "for m in season_matches:\n",
        "  api_url = base_url.format('/matches/%s'%(m['matchId']))\n",
        "  response = requests.get(api_url, auth=HTTPBasicAuth(username, token))\n",
        "  if response.ok:\n",
        "    matches_2021.append(response.json())\n",
        "\n",
        "### LOGICA LINEUP\n",
        "def getLineUp(wyId, matches):\n",
        "  matches_lineup = {}\n",
        "  matches_lineup_concat = {}\n",
        "  for match in matches:\n",
        "    if (str(wyId) in match['teamsData'].keys()):\n",
        "      if (match['teamsData'][str(wyId)]['hasFormation']==1):\n",
        "        team_lineup = match['teamsData'][str(wyId)]['formation']['lineup']\n",
        "        lineup_list = []\n",
        "        for player in team_lineup:\n",
        "          lineup_list.append(player['playerId'])\n",
        "        matches_lineup[match['wyId']] = lineup_list\n",
        "        lineup_list.sort()\n",
        "        lineup_list_concat = str(lineup_list[0])\n",
        "        for i in range(1,len(lineup_list)):\n",
        "          lineup_list_concat += (\"-\" +str(lineup_list[i]))\n",
        "        matches_lineup_concat[match['wyId']] = lineup_list_concat\n",
        "\n",
        "  return len(set(matches_lineup_concat.values())), matches_lineup, matches_lineup_concat\n",
        "\n",
        "def getDifferentLU(team_name, matches):\n",
        "  different_lineups_count = {}\n",
        "  different_lineups_concat = {}\n",
        "  different_lineups = {}\n",
        "\n",
        "  for teamId in team_name.keys():\n",
        "    lu_cnt, different_lu, different_lu_concat = getLineUp(teamId,matches)\n",
        "    different_lineups_count[teamId] = lu_cnt\n",
        "    different_lineups_concat[teamId] = different_lu_concat\n",
        "    different_lineups[teamId] = different_lu\n",
        "\n",
        "  different_lineups_count_df = pd.Series(data=different_lineups_count, name='differentLineup')\n",
        "  team_name_df =  pd.Series(data=team_name, name = 'team')\n",
        "  different_team_lineups_count_df = pd.merge(team_name_df, different_lineups_count_df, how='left', left_index=True, right_index=True)\n",
        "  return different_team_lineups_count_df\n",
        "\n",
        "##### Evaluate Team LINEUPS\n",
        "print(\"Evaluating Team LineUPs 2021-22...\")\n",
        "print(\"----------------------------------\")\n",
        "different_team_LU_2122 = getDifferentLU(teams_2122, matches_2122)\n",
        "print(\"Evaluating Team LineUPs 2020-21...\")\n",
        "print(\"----------------------------------\")\n",
        "different_team_LU_2021 = getDifferentLU(teams_2021, matches_2021)\n",
        "\n",
        "### LOGICA SUBS\n",
        "def getSubs(wyId, matches):\n",
        "\n",
        "  match_name = {}\n",
        "  for m in matches:\n",
        "    match_name[m['wyId']] = m['label']\n",
        "  matches_subs = {}\n",
        "  for match in matches:\n",
        "    if (str(wyId) in match['teamsData'].keys()):\n",
        "      if (match['teamsData'][str(wyId)]['hasFormation']==1):\n",
        "        team_subs = match['teamsData'][str(wyId)]['formation']['substitutions']\n",
        "        matches_subs[match['wyId']] = len(team_subs)\n",
        "\n",
        "  return matches_subs\n",
        "\n",
        "def finalTeamSubs(teams, matches):\n",
        "  team_subs = {}\n",
        "  for teamId in teams.keys():\n",
        "    matches_subs = getSubs(teamId,matches)\n",
        "    team_subs[teamId] = matches_subs\n",
        "\n",
        "  team_subs_total = {}\n",
        "  for teamId in team_subs.keys():\n",
        "    team_subs_total[teamId] = sum(list(team_subs[teamId].values()))\n",
        "\n",
        "  team_subs_total_df = pd.Series(data=team_subs_total, name='totalSubs')\n",
        "  team_name_df =  pd.Series(data=teams, name = 'team')\n",
        "  team_subs = pd.merge(team_name_df, team_subs_total_df, how='left', left_index=True, right_index=True)\n",
        "  return team_subs\n",
        "\n",
        "##### Evaluate Team SUBS\n",
        "print(\"Evaluating Team SUBS 2021-22...\")\n",
        "print(\"-------------------------------\")\n",
        "team_subs_2122 = finalTeamSubs(teams_2122, matches_2122)\n",
        "print(\"Evaluating Team SUBS 2021-22...\")\n",
        "print(\"-------------------------------\")\n",
        "team_subs_2021 = finalTeamSubs(teams_2021, matches_2021)\n",
        "\n",
        "##### Different LINEUPS Plot Logic\n",
        "def plotLU(different_team_LU, footTeams, lega, stagione, squadra):\n",
        "  different_team_lineups = pd.merge(different_team_LU, footTeams, how = \"left\")\n",
        "  different_team_lineups['Colors'] = \"#005a9b\"\n",
        "  different_team_lineups.loc[different_team_lineups['team'] == squadra, 'Colors'] = \"#FFDA29\"\n",
        "  different_team_lineups.replace({\n",
        "        \"team\":{\n",
        "         'Fiorentina' : 'FIO', 'Milan':'MIL', 'Atalanta':'ATA', 'Bologna':'BOL', 'Cremonese':'CRE', 'Empoli':'EMP',\n",
        "         'Hellas Verona':'VER', 'Internazionale':'INT', 'Juventus':'JUV', 'Lazio':'LAZ', 'Lecce':'LEC', 'Monza':'MON',\n",
        "         'Roma':'ROM', 'Napoli':'NAP', 'Salernitana':'SAL', 'Sampdoria':'SAM', 'Sassuolo':'SAS', 'Spezia':'SPE',\n",
        "         'Torino':'TOR', 'Udinese':'UDI', 'Genoa':'GEN', 'Cagliari':'CAG', 'Venezia':'VEN', 'Benevento':'BEN',\n",
        "         'Crotone':'CRO', 'Parma':'PAR', 'Brescia':'BRE', 'Spal':'SPA',\n",
        "         'Alessandria':'ALE', 'Ascoli':'ASC', 'Cittadella':'CIT', 'Como':'COM', 'Cosenza':'COS', 'Frosinone':'FRO',\n",
        "         'Vicenza':'VIC', 'Perugia':'PER', 'Pisa':'PIS', 'Pordenone':'POR', 'Reggina':'REG', 'Ternana':'TER',\n",
        "         'Pescara':'PES', 'Reggiana':'REA', 'Virtus Entella':'ENT', 'Chievo':'CHI', 'Juve Stabia':'STA', 'Livorno':'LIV', 'Trapani':'TRA'\n",
        "        }}, inplace = True)\n",
        "  different_team_lineups.sort_values('differentLineup', ascending=False, ignore_index=True, inplace=True)\n",
        "  different_team_lineups_avg = different_team_lineups['differentLineup'].mean()\n",
        "  X_season = different_team_lineups['team'].values\n",
        "  height_season = different_team_lineups['differentLineup'].values\n",
        "\n",
        "  fig = plt.figure(figsize=(6, 2.5), dpi = 200, facecolor = \"#EFE9E6\")\n",
        "  ax = plt.subplot(111, facecolor = \"#EFE9E6\")\n",
        "  # Add spines\n",
        "  ax.spines[\"top\"].set(visible = False)\n",
        "  ax.spines[\"right\"].set(visible = False)\n",
        "  # Add grid and axis labels\n",
        "  ax.grid(True, color = \"lightgrey\", ls = \":\")\n",
        "  # We specify the width of the bar\n",
        "  width = 0.5\n",
        "\n",
        "  # Different LineUps\n",
        "  ax.bar(\n",
        "    X_season, \n",
        "    height_season, \n",
        "    ec = \"black\", \n",
        "    lw = .75, \n",
        "    color = different_team_lineups['Colors'], \n",
        "    zorder = 3, \n",
        "    width = width,\n",
        "    label = \"Formazioni diverse\"\n",
        "  )\n",
        "  ax.axhline(y=different_team_lineups_avg, color='red', linestyle='--', label='average')\n",
        "  for index, y in enumerate(height_season):\n",
        "    ax.annotate(\n",
        "        xy = (index, y),\n",
        "        text = f\"{y:.0f}\",\n",
        "        xytext = (0, 7),\n",
        "        textcoords = \"offset points\",\n",
        "        size = 7,\n",
        "        color = \"#005a9b\",\n",
        "        ha = \"center\",\n",
        "        va = \"center\",\n",
        "        weight = \"bold\"\n",
        "    )\n",
        "\n",
        "  xticks_ = ax.xaxis.set_ticks(\n",
        "    ticks = []\n",
        "  )\n",
        "  ax.tick_params(labelsize = 8)\n",
        "  # --- Axes transformations\n",
        "  DC_to_FC = ax.transData.transform\n",
        "  FC_to_NFC = fig.transFigure.inverted().transform\n",
        "\n",
        "  # Native data to normalized data coordinates\n",
        "  DC_to_NFC = lambda x: FC_to_NFC(DC_to_FC(x))\n",
        "\n",
        "  fotmob_url = \"https://images.fotmob.com/image_resources/logo/teamlogo/\"\n",
        "  for index, team_id in enumerate(different_team_lineups[\"footId\"]):\n",
        "    ax_coords = DC_to_NFC([index - 1.1*width, -6])\n",
        "    logo_ax = fig.add_axes([ax_coords[0], ax_coords[1], 0.09, 0.09], anchor = \"W\")\n",
        "    club_icon = Image.open(urllib.request.urlopen(f\"{fotmob_url}{team_id:.0f}.png\")).convert(\"LA\")\n",
        "    logo_ax.imshow(club_icon)\n",
        "    logo_ax.axis(\"off\")\n",
        "    logo_ax.annotate(\n",
        "        xy =(0, 0),\n",
        "        text = f\"({different_team_lineups['team'].iloc[index]})\",\n",
        "        xytext = (8, -19),\n",
        "        textcoords = \"offset points\",\n",
        "        size = 4,\n",
        "        ha = \"center\",\n",
        "        va = \"center\"\n",
        "    )\n",
        "\n",
        "  fig_text(\n",
        "    x = 0.12, y = 1.1,\n",
        "    s = \"Formazioni diverse schierate su 38 partite\",\n",
        "    weight = \"bold\",\n",
        "    size = 10\n",
        "  )\n",
        "  title = lega + \" \" + stagione\n",
        "  fig_text(\n",
        "    x = 0.12, y = 1,\n",
        "    s = title,\n",
        "    color = \"grey\",\n",
        "    size = 7\n",
        "  )\n",
        "\n",
        "  legaSemplice = lega.split()[1]\n",
        "  filename = \"./figures/Totale_Formazioni_Diverse_Serie\" + legaSemplice + \"_\" + stagione + \".png\"\n",
        "  plt.savefig(\n",
        "\t  filename,\n",
        "\t  dpi = 600,\n",
        "\t  facecolor = \"#EFE9E6\",\n",
        "\t  bbox_inches=\"tight\",\n",
        "    edgecolor=\"none\",\n",
        "\t  transparent = False\n",
        "  )\n",
        "\n",
        "\n",
        "##### Different SUBS Plot Logic\n",
        "def plotSUBS(team_SUBS, footTeams, lega, stagione, squadra):\n",
        "  team_substitutions = pd.merge(team_SUBS, footTeams, how = \"left\")\n",
        "  team_substitutions['Colors'] = \"#005a9b\"\n",
        "  team_substitutions.loc[team_substitutions['team'] == squadra, 'Colors'] = \"#FFDA29\"\n",
        "  team_substitutions.replace({\n",
        "        \"team\":{\n",
        "         'Fiorentina' : 'FIO', 'Milan':'MIL', 'Atalanta':'ATA', 'Bologna':'BOL', 'Cremonese':'CRE', 'Empoli':'EMP',\n",
        "         'Hellas Verona':'VER', 'Internazionale':'INT', 'Juventus':'JUV', 'Lazio':'LAZ', 'Lecce':'LEC', 'Monza':'MON',\n",
        "         'Roma':'ROM', 'Napoli':'NAP', 'Salernitana':'SAL', 'Sampdoria':'SAM', 'Sassuolo':'SAS', 'Spezia':'SPE',\n",
        "         'Torino':'TOR', 'Udinese':'UDI', 'Genoa':'GEN', 'Cagliari':'CAG', 'Venezia':'VEN', 'Benevento':'BEN',\n",
        "         'Crotone':'CRO', 'Parma':'PAR', 'Brescia':'BRE', 'Spal':'SPA',\n",
        "         'Alessandria':'ALE', 'Ascoli':'ASC', 'Cittadella':'CIT', 'Como':'COM', 'Cosenza':'COS', 'Frosinone':'FRO',\n",
        "         'Vicenza':'VIC', 'Perugia':'PER', 'Pisa':'PIS', 'Pordenone':'POR', 'Reggina':'REG', 'Ternana':'TER',\n",
        "         'Pescara':'PES', 'Reggiana':'REA', 'Virtus Entella':'ENT', 'Chievo':'CHI', 'Juve Stabia':'STA', 'Livorno':'LIV', 'Trapani':'TRA'\n",
        "        }}, inplace = True)\n",
        "  team_substitutions.sort_values('totalSubs', ascending=False, ignore_index=True, inplace=True)\n",
        "  team_substitutions_avg = team_substitutions['totalSubs'].mean()\n",
        "\n",
        "  X_season = team_substitutions['team'].values\n",
        "  height_season = team_substitutions['totalSubs'].values\n",
        "\n",
        "  fig = plt.figure(figsize=(6, 2.5), dpi = 200, facecolor = \"#EFE9E6\")\n",
        "  ax = plt.subplot(111, facecolor = \"#EFE9E6\")\n",
        "  # Add spines\n",
        "  ax.spines[\"top\"].set(visible = False)\n",
        "  ax.spines[\"right\"].set(visible = False)\n",
        "  # Add grid and axis labels\n",
        "  ax.grid(True, color = \"lightgrey\", ls = \":\")\n",
        "  # We specify the width of the bar\n",
        "  width = 0.5\n",
        "\n",
        "  # Different LineUps\n",
        "  ax.bar(\n",
        "    X_season, \n",
        "    height_season, \n",
        "    ec = \"black\", \n",
        "    lw = .75, \n",
        "    color = team_substitutions['Colors'], \n",
        "    zorder = 3, \n",
        "    width = width,\n",
        "    label = \"Formazioni diverse\"\n",
        "  )\n",
        "  ax.axhline(y=team_substitutions_avg, color='red', linestyle='--', label='average')\n",
        "  for index, y in enumerate(height_season):\n",
        "    ax.annotate(\n",
        "        xy = (index, y),\n",
        "        text = f\"{y:.0f}\",\n",
        "        xytext = (0, 7),\n",
        "        textcoords = \"offset points\",\n",
        "        size = 7,\n",
        "        color = \"#005a9b\",\n",
        "        ha = \"center\",\n",
        "        va = \"center\",\n",
        "        weight = \"bold\"\n",
        "    )\n",
        "\n",
        "  xticks_ = ax.xaxis.set_ticks(\n",
        "    ticks = []\n",
        "  )\n",
        "  ax.tick_params(labelsize = 8)\n",
        "  # --- Axes transformations\n",
        "  DC_to_FC = ax.transData.transform\n",
        "  FC_to_NFC = fig.transFigure.inverted().transform\n",
        "\n",
        "  # Native data to normalized data coordinates\n",
        "  DC_to_NFC = lambda x: FC_to_NFC(DC_to_FC(x))\n",
        "\n",
        "  fotmob_url = \"https://images.fotmob.com/image_resources/logo/teamlogo/\"\n",
        "  for index, team_id in enumerate(team_substitutions[\"footId\"]):\n",
        "    ax_coords = DC_to_NFC([index - 1.1*width, -30])\n",
        "    logo_ax = fig.add_axes([ax_coords[0], ax_coords[1], 0.09, 0.09], anchor = \"W\")\n",
        "    club_icon = Image.open(urllib.request.urlopen(f\"{fotmob_url}{team_id:.0f}.png\")).convert(\"LA\")\n",
        "    logo_ax.imshow(club_icon)\n",
        "    logo_ax.axis(\"off\")\n",
        "    logo_ax.annotate(\n",
        "        xy =(0, 0),\n",
        "        text = f\"({team_substitutions['team'].iloc[index]})\",\n",
        "        xytext = (8, -19),\n",
        "        textcoords = \"offset points\",\n",
        "        size = 4,\n",
        "        ha = \"center\",\n",
        "        va = \"center\"\n",
        "    )\n",
        "\n",
        "  fig_text(\n",
        "    x = 0.12, y = 1.1,\n",
        "    s = \"Sostituzioni totali effettuate (massimo 190)\",\n",
        "    weight = \"bold\",\n",
        "    size = 10\n",
        "  )\n",
        "  title = lega + \" \" + stagione\n",
        "  fig_text(\n",
        "    x = 0.12, y = 1,\n",
        "    s = title,\n",
        "    color = \"grey\",\n",
        "    size = 7\n",
        "  )\n",
        "\n",
        "  legaSemplice = lega.split()[1]\n",
        "  filename = \"./figures/Totale_Sostituzioni_Serie\" + legaSemplice + \"_\"+ stagione + \".png\"\n",
        "  plt.savefig(\n",
        "\t  filename,\n",
        "\t  dpi = 600,\n",
        "\t  facecolor = \"#EFE9E6\",\n",
        "\t  bbox_inches=\"tight\",\n",
        "    edgecolor=\"none\",\n",
        "\t  transparent = False\n",
        "  )"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "54jG9gnx1BNo",
        "cellView": "form"
      },
      "outputs": [],
      "source": [
        "#@title Grafico Formazioni Diverse 2021-22\n",
        "plotLU(different_team_LU_2122, footTeams, Lega2122text, \"21_22\", Squadra2122text)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "UbtrqZyVMK39",
        "cellView": "form"
      },
      "outputs": [],
      "source": [
        "#@title Grafico Formazioni Diverse 2020-21\n",
        "plotLU(different_team_LU_2021, footTeams, Lega2021text, \"20_21\", Squadra2021text)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "j_sW5YxCNUI3",
        "cellView": "form"
      },
      "outputs": [],
      "source": [
        "#@title Grafico Sostituzioni 2021-22\n",
        "plotSUBS(team_subs_2122, footTeams, Lega2122text, \"21_22\", Squadra2122text)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "qZ5e8ZP8Pblw",
        "cellView": "form"
      },
      "outputs": [],
      "source": [
        "#@title Grafico Sostituzioni 2020-21\n",
        "plotSUBS(team_subs_2021, footTeams, Lega2021text, \"20_21\", Squadra2021text)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#@title (2) Distribuzione Reti: Logiche\n",
        "Lega2122 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Lega2122']\n",
        "Lega2122v = Lega2122.values[0]\n",
        "Lega2021 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Lega2021']\n",
        "Lega2021v = Lega2021.values[0]\n",
        "Stagione2122 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Stagione2122']\n",
        "Stagione2122v = Stagione2122.values[0]\n",
        "Stagione2021 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Stagione2021']\n",
        "Stagione2021v = Stagione2021.values[0]\n",
        "Team2122 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Team2122']\n",
        "Team2122v = Team2122.values[0]\n",
        "Team2021 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Team2021']\n",
        "Team2021v = Team2021.values[0]\n",
        "teams_2122 = teams_2122_A if (Lega2122v == Stagione21_22['Serie A'][0]) else teams_2122_B\n",
        "teams_2021 = teams_2021_A if (Lega2021v == Stagione20_21['Serie A'][0]) else teams_2021_B\n",
        "\n",
        "legakey_list = list(Lega.keys())\n",
        "legaval_list = list(Lega.values())\n",
        "position_2122 = legaval_list.index(Lega2122v)\n",
        "Lega2122text = legakey_list[position_2122]\n",
        "position_2021 = legaval_list.index(Lega2021v)\n",
        "Lega2021text = legakey_list[position_2021]\n",
        "\n",
        "if (Lega2122text=='Serie A'):\n",
        "  team2122_dict = teams_2122_A\n",
        "  ev_file1 = './events_serieA_2021_2022_v2.json'\n",
        "elif (Lega2122text == 'Serie B'): # B 21-22\n",
        "  team2122_dict = teams_2122_B\n",
        "  ev_file1 = './events_serieB_2021_2022_v2.json'\n",
        "Squadra2122text = team2122_dict[Team2122v]\n",
        "if (Lega2021text=='Serie A'):\n",
        "  team2021_dict = teams_2021_A\n",
        "  ev_file2 = './events_serieA_2020_2021_v2.json'\n",
        "elif (Lega2021text == 'Serie B'): # B 21-22\n",
        "  team2021_dict = teams_2021_B\n",
        "  ev_file2 = './events_serieB_2020_2021_v2.json'\n",
        "Squadra2021text = team2021_dict[Team2021v]\n",
        "\n",
        "# Opening stored JSON file: Wyscout API\n",
        "ev1 = open(ev_file1)\n",
        "events2122 = json.load(ev1)\n",
        "\n",
        "ev2 = open(ev_file2)\n",
        "events2021 = json.load(ev2)\n",
        "\n",
        "def season_teams(seasonId):\n",
        "    # TEAMS - dict\n",
        "    teams = []\n",
        "    team_name = {}\n",
        "    api_url = base_url.format(f'/seasons/{seasonId}/teams')\n",
        "    response = requests.get(api_url, auth=HTTPBasicAuth(username, token))\n",
        "    if response.ok:\n",
        "        team = response.json()['teams']\n",
        "        teams+=team\n",
        "    for team in teams:\n",
        "        team_name[team['wyId']] = 'Spal' if team['name']=='SPAL' else team['name']\n",
        "    \n",
        "    return team_name\n",
        "def team_goal_gen(team_name, events):\n",
        "    shot_list = []\n",
        "    goal_list = []\n",
        "    og_list = []\n",
        "    for event in events:\n",
        "        if (event['eventName'] == \"Shot\"):\n",
        "          shot_list.append(event)\n",
        "          if {'id': 101} in event['tags']:\n",
        "            goal_list.append(event)\n",
        "        elif (event['eventName'] == \"Free Kick\"):\n",
        "          if (event['subEventName']) == \"Free kick shot\":\n",
        "            shot_list.append(event)\n",
        "          elif (event['subEventName']) == \"Penalty\":\n",
        "            shot_list.append(event)\n",
        "          if {'id': 101} in event['tags']:\n",
        "            goal_list.append(event)\n",
        "        if {'id': 102} in event['tags']:\n",
        "          og_list.append(event)\n",
        "\n",
        "    # GOAL & OWN GOAL - EVENT\n",
        "    team_goal = {}\n",
        "    team_ogoal = {}\n",
        "    for goal in goal_list:\n",
        "        if (goal['teamId'] in team_goal.keys()):\n",
        "            team_goal[goal['teamId']].append(goal['playerId'])\n",
        "        else:\n",
        "            team_goal[goal['teamId']] = [goal['playerId']]\n",
        "\n",
        "    for ogoal in og_list:\n",
        "        if (ogoal['teamId'] in team_ogoal.keys()):\n",
        "            team_ogoal[ogoal['teamId']].append(ogoal['playerId'])\n",
        "        else:\n",
        "            team_ogoal[ogoal['teamId']] = [ogoal['playerId']]\n",
        "\n",
        "    # GOAL & OWN GOALNUMBER\n",
        "    team_goal_number = {}\n",
        "    team_different_player_goal = {}\n",
        "    team_ogoal_number = {}\n",
        "    for team in team_goal.keys():\n",
        "        team_goal_number[team] = len(team_goal[team])\n",
        "        team_different_player_goal[team] = len(set(team_goal[team]))\n",
        "        if (team in team_ogoal.keys()):\n",
        "            team_ogoal_number[team] = len(team_ogoal[team])\n",
        "        else:\n",
        "            team_ogoal_number[team] = 0\n",
        "\n",
        "    team_goal_number_tmp = pd.Series(team_goal_number, name='goal_number')\n",
        "    team_ogoal_number_tmp = pd.Series(team_ogoal_number, name='ogoal_number')\n",
        "    team_different_player_goal_tmp = pd.Series(team_different_player_goal, name='different_player_goal')\n",
        "\n",
        "    team_goal_number_df = team_goal_number_tmp.to_frame()\n",
        "    team_ogoal_number_df = team_ogoal_number_tmp.to_frame()\n",
        "    team_different_player_goal_df = team_different_player_goal_tmp.to_frame()\n",
        "    team_name_tmp = pd.Series(team_name, name='team')\n",
        "    team_name_df = team_name_tmp.to_frame()\n",
        "    team_goal_season = pd.merge(team_goal_number_df, team_ogoal_number_df, left_index=True, right_index=True)\n",
        "    team_goal_season = pd.merge(team_goal_season, team_different_player_goal_df, left_index=True, right_index=True)\n",
        "    team_goal_season = pd.merge(team_goal_season, team_name_df, left_index=True, right_index=True)\n",
        "    team_goal_season.reset_index(inplace=True)\n",
        "    team_goal_season.rename(columns={'index':'teamId'}, inplace=True)\n",
        "    return team_goal_season\n",
        "\n",
        "team_name_2122 = season_teams(Stagione2122v)\n",
        "team_name_2021 = season_teams(Stagione2021v)\n",
        "team_goal_2122 = team_goal_gen(team_name_2122, events2122)\n",
        "team_goal_2021 = team_goal_gen(team_name_2021, events2021)\n",
        "\n",
        "#### Different Goal Scorer PLot Logic\n",
        "def getImage(path):\n",
        "  return OffsetImage(plt.imread(path), zoom=.09, alpha = 1)\n",
        "\n",
        "\n",
        "def plotDifferentGoalScorer(team_goal, lega, stagione, squadra):\n",
        "  dataset = pd.merge(team_goal, footTeams, how = \"left\")\n",
        "  dataset.replace({\n",
        "        \"shortName\":{\n",
        "         'Fiorentina' : 'FIO', 'Milan':'MIL', 'Atalanta':'ATA', 'Bologna':'BOL', 'Cremonese':'CRE', 'Empoli':'EMP',\n",
        "         'Hellas Verona':'VER', 'Internazionale':'INT', 'Juventus':'JUV', 'Lazio':'LAZ', 'Lecce':'LEC', 'Monza':'MON',\n",
        "         'Roma':'ROM', 'Napoli':'NAP', 'Salernitana':'SAL', 'Sampdoria':'SAM', 'Sassuolo':'SAS', 'Spezia':'SPE',\n",
        "         'Torino':'TOR', 'Udinese':'UDI', 'Genoa':'GEN', 'Cagliari':'CAG', 'Venezia':'VEN', 'Benevento':'BEN',\n",
        "         'Crotone':'CRO', 'Parma':'PAR', 'Brescia':'BRE', 'Spal':'SPA',\n",
        "         'Alessandria':'ALE', 'Ascoli':'ASC', 'Cittadella':'CIT', 'Como':'COM', 'Cosenza':'COS', 'Frosinone':'FRO',\n",
        "         'Vicenza':'VIC', 'Perugia':'PER', 'Pisa':'PIS', 'Pordenone':'POR', 'Reggina':'REG', 'Ternana':'TER',\n",
        "         'Pescara':'PES', 'Reggiana':'REA', 'Virtus Entella':'ENT', 'Chievo':'CHI', 'Juve Stabia':'STA', 'Livorno':'LIV', 'Trapani':'TRA'\n",
        "        }}, inplace = True)\n",
        "  dataset['Colors'] = \"#005a9b\"\n",
        "  dataset.loc[dataset['team'] == squadra, 'Colors'] = \"#FFDA29\"\n",
        "  # -- Plot the chart 21-22\n",
        "  fig = plt.figure(figsize = (7,5), dpi = 300)\n",
        "  ax = plt.subplot(facecolor = \"#EFE9E6\")\n",
        "  ax.spines[\"top\"].set_visible(False)\n",
        "  ax.spines[\"right\"].set_visible(False)\n",
        "\n",
        "  ax.scatter(\n",
        "    dataset[\"goal_number\"], \n",
        "    dataset[\"different_player_goal\"], \n",
        "    s = 3, \n",
        "    alpha = 0.75, \n",
        "    color = \"#264653\",\n",
        "    zorder = 3\n",
        "  )\n",
        "  ax.plot(\n",
        "    [dataset[\"goal_number\"].median(), dataset[\"goal_number\"].median()],\n",
        "    [ax.get_ylim()[0], ax.get_ylim()[1]], \n",
        "    ls = \":\",\n",
        "    color = \"gray\",\n",
        "    zorder = 2\n",
        "  )\n",
        "  ax.plot(\n",
        "    [ax.get_xlim()[0], ax.get_xlim()[1]],\n",
        "    [dataset[\"different_player_goal\"].median(), dataset[\"different_player_goal\"].median()], \n",
        "    ls = \":\",\n",
        "    color = \"gray\",\n",
        "    zorder = 2\n",
        "  )\n",
        "  ax.grid(True, ls = \":\", color = \"lightgray\")\n",
        "\n",
        "  fotmob_url = \"https://images.fotmob.com/image_resources/logo/teamlogo/\"\n",
        "  for index, name in enumerate(dataset[\"team\"]):\n",
        "    X = dataset[\"goal_number\"].iloc[index]\n",
        "    Y = dataset[\"different_player_goal\"].iloc[index]\n",
        "    path = fotmob_url + str(dataset[\"footId\"].iloc[index]) + \".png\"\n",
        "    frame = False\n",
        "    if (name == squadra):\n",
        "      frame = True\n",
        "    ab = AnnotationBbox(getImage(path), (X, Y), frameon=frame)\n",
        "    ax.add_artist(ab)\n",
        "\n",
        "  ax.set_xlabel(\"Numero Goal\")\n",
        "  ax.set_ylabel(\"Numero di giocatori diversi a segno\")\n",
        "\n",
        "  fig_text(\n",
        "    x = 0.73, y = 1.03, \n",
        "    s = \"<numero di giocatori diversi> per squadra in goal\\nrispetto al totale reti segnate\",\n",
        "    highlight_textprops=[{\"color\":\"#F64740\", \"style\":\"italic\"}],\n",
        "    va = \"bottom\", ha = \"right\",\n",
        "    fontsize = 12, color = \"black\", weight = \"bold\"\n",
        "  )\n",
        "  subTitle =  lega + \" \" + stagione\n",
        "  fig_text(\n",
        "\t  x = 0.87, y = .94, \n",
        "    s = subTitle,\n",
        "\t  va = \"bottom\", ha = \"right\",\n",
        "\t  fontsize = 7, color = \"#4E616C\"\n",
        "  )\n",
        "\n",
        "  legaSemplice = lega.split()[1]\n",
        "  filename = \"./figures/Serie\" + legaSemplice + \"_\" + stagione + \"_falli_cartellini.png\"\n",
        "  plt.savefig(\n",
        "\t  filename,\n",
        "\t  dpi = 600,\n",
        "\t  facecolor = \"none\",\n",
        "\t  bbox_inches=\"tight\",\n",
        "    edgecolor=\"none\",\n",
        "\t  transparent = False\n",
        "  )"
      ],
      "metadata": {
        "cellView": "form",
        "id": "w6S78_Qyv9zl"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@title Grafico Distribuzione Reti 2021-22\n",
        "plotDifferentGoalScorer(team_goal_2122, Lega2122text, \"21_22\", Squadra2122text)"
      ],
      "metadata": {
        "cellView": "form",
        "id": "y2WJfzJ6wMVu"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@title Grafico Distribuzione Reti 2020-21\n",
        "plotDifferentGoalScorer(team_goal_2021, Lega2021text, \"20_21\", Squadra2021text)"
      ],
      "metadata": {
        "cellView": "form",
        "id": "Khm3E0JYwZiR"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@title (3) Falli e Cartellini: Logiche\n",
        "Lega2122 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Lega2122']\n",
        "Lega2122v = Lega2122.values[0]\n",
        "Lega2021 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Lega2021']\n",
        "Lega2021v = Lega2021.values[0]\n",
        "Stagione2122 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Stagione2122']\n",
        "Stagione2122v = Stagione2122.values[0]\n",
        "Stagione2021 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Stagione2021']\n",
        "Stagione2021v = Stagione2021.values[0]\n",
        "Team2122 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Team2122']\n",
        "Team2122v = Team2122.values[0]\n",
        "Team2021 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Team2021']\n",
        "Team2021v = Team2021.values[0]\n",
        "teams_2122 = teams_2122_A if (Lega2122v == Stagione21_22['Serie A'][0]) else teams_2122_B\n",
        "teams_2021 = teams_2021_A if (Lega2021v == Stagione20_21['Serie A'][0]) else teams_2021_B\n",
        "\n",
        "legakey_list = list(Lega.keys())\n",
        "legaval_list = list(Lega.values())\n",
        "position_2122 = legaval_list.index(Lega2122v)\n",
        "Lega2122text = legakey_list[position_2122]\n",
        "position_2021 = legaval_list.index(Lega2021v)\n",
        "Lega2021text = legakey_list[position_2021]\n",
        "\n",
        "if (Lega2122text=='Serie A'):\n",
        "  team2122_dict = teams_2122_A\n",
        "  ev_file1 = './events_serieA_2021_2022_v2.json'\n",
        "elif (Lega2122text == 'Serie B'): # B 21-22\n",
        "  team2122_dict = teams_2122_B\n",
        "  ev_file1 = './events_serieB_2021_2022_v2.json'\n",
        "Squadra2122text = team2122_dict[Team2122v]\n",
        "if (Lega2021text=='Serie A'):\n",
        "  team2021_dict = teams_2021_A\n",
        "  ev_file2 = './events_serieA_2020_2021_v2.json'\n",
        "elif (Lega2021text == 'Serie B'): # B 20-21\n",
        "  team2021_dict = teams_2021_B\n",
        "  ev_file2 = './events_serieB_2020_2021_v2.json'\n",
        "Squadra2021text = team2021_dict[Team2021v]\n",
        "\n",
        "def get_fouls_as(available_seasons, teams, footTeams):\n",
        "    team_season_as = []\n",
        "    for teamId in teams.keys():\n",
        "        api_url = base_url.format(f'/teams/{teamId}/advancedstats?compId={available_seasons[0]}&seasonId={available_seasons[1]}')\n",
        "        response = requests.get(api_url, auth=HTTPBasicAuth(username, token))\n",
        "        if response.ok:\n",
        "            team_as = response.json()\n",
        "            team_season_as.append(team_as)\n",
        "\n",
        "    fouls_loc = []\n",
        "    for i,ev in enumerate(team_season_as):\n",
        "        doc1 = {}\n",
        "        doc1['teamId'] = ev['teamId']\n",
        "        doc1['fouls'] = ev['total']['fouls']\n",
        "        doc1['yellowCards'] = ev['total']['yellowCards']\n",
        "        doc1['redCards'] =  ev['total']['redCards']\n",
        "        doc1['directRedCards'] = ev['total']['directRedCards']\n",
        "        fouls_loc.append(doc1)\n",
        "    fouls_df = pd.DataFrame(fouls_loc)\n",
        "\n",
        "    team_name_tmp = pd.Series(teams, name='team')\n",
        "    team_name_df = team_name_tmp.to_frame()\n",
        "    team_name_df.reset_index(inplace=True)\n",
        "    team_name_df.rename(columns={'index':'teamId'},inplace=True)\n",
        "    team_fouls_df = pd.merge(fouls_df, team_name_df, how='left')\n",
        "    team_fouls_final = pd.merge(team_fouls_df, footTeams, how = \"left\")\n",
        "    team_fouls_final.loc[:,'totalCards'] = team_fouls_final['yellowCards'] + team_fouls_final['redCards'] + team_fouls_final['directRedCards']\n",
        "    return team_fouls_final\n",
        "\n",
        "available_seasons = Stagione21_22[Lega2122text]\n",
        "fouls_2122_df = get_fouls_as(available_seasons, teams_2122, footTeams)\n",
        "available_seasons = Stagione20_21[Lega2021text]\n",
        "fouls_2021_df = get_fouls_as(available_seasons, teams_2021, footTeams)\n",
        "\n",
        "def getImage(path):\n",
        "    return OffsetImage(plt.imread(path), zoom=.09, alpha = 1)\n",
        "\n",
        "def plotFoulsCards(dataset, lega, stagione, squadra):\n",
        "    fig = plt.figure(figsize = (7,5), dpi = 300)\n",
        "    ax = plt.subplot(facecolor = \"#EFE9E6\")\n",
        "    ax.spines[\"top\"].set_visible(False)\n",
        "    ax.spines[\"right\"].set_visible(False)\n",
        "\n",
        "    ax.scatter(\n",
        "        dataset[\"fouls\"], \n",
        "        dataset[\"totalCards\"], \n",
        "        s = 3, \n",
        "        alpha = 0.75, \n",
        "        color = \"#264653\",\n",
        "        zorder = 3\n",
        "    )\n",
        "    ax.plot(\n",
        "        [dataset[\"fouls\"].median(), dataset[\"fouls\"].median()],\n",
        "        [ax.get_ylim()[0], ax.get_ylim()[1]], \n",
        "        ls = \":\",\n",
        "        color = \"gray\",\n",
        "        zorder = 2\n",
        "    )\n",
        "    ax.plot(\n",
        "        [ax.get_xlim()[0], ax.get_xlim()[1]],\n",
        "        [dataset[\"totalCards\"].median(), dataset[\"totalCards\"].median()], \n",
        "        ls = \":\",\n",
        "        color = \"gray\",\n",
        "        zorder = 2\n",
        "    )\n",
        "    ax.grid(True, ls = \":\", color = \"lightgray\")\n",
        "\n",
        "    fotmob_url = \"https://images.fotmob.com/image_resources/logo/teamlogo/\"\n",
        "    for index, name in enumerate(dataset[\"team\"]):\n",
        "        X = dataset[\"fouls\"].iloc[index]\n",
        "        Y = dataset[\"totalCards\"].iloc[index]\n",
        "        y_pos = -9\n",
        "        x_pos = 0\n",
        "        path = fotmob_url + str(dataset[\"footId\"].iloc[index]) + \".png\"\n",
        "        frame = False\n",
        "        if (name == squadra):\n",
        "          frame = True\n",
        "        ab = AnnotationBbox(getImage(path), (X, Y), frameon=frame)\n",
        "        ax.add_artist(ab)\n",
        "\n",
        "    ax.set_xlabel(\"Falli Totali\")\n",
        "    ax.set_ylabel(\"Cartellini Totali\")\n",
        "\n",
        "    fig_text(\n",
        "        x = 0.73, y = 1.03, \n",
        "        s = \"<falli e cartellini> per squadra\",\n",
        "        highlight_textprops=[{\"color\":\"#F64740\", \"style\":\"italic\"}],\n",
        "        va = \"bottom\", ha = \"right\",\n",
        "        fontsize = 12, color = \"black\", weight = \"bold\"\n",
        "    )\n",
        "    subTitle =  lega + \" \" + stagione\n",
        "    fig_text(\n",
        "\t    x = 0.87, y = .94, \n",
        "      s = subTitle,\n",
        "\t    va = \"bottom\", ha = \"right\",\n",
        "\t    fontsize = 7, color = \"#4E616C\",\n",
        "    )\n",
        "\n",
        "    legaSemplice = lega.split()[1]\n",
        "    filename = \"./figures/Serie\" + legaSemplice + \"_\" + stagione + \"_falli_cartellini.png\"\n",
        "    plt.savefig(\n",
        "\t    filename,\n",
        "\t    dpi = 600,\n",
        "\t    facecolor = \"none\",\n",
        "\t    bbox_inches=\"tight\",\n",
        "      edgecolor=\"none\",\n",
        "\t    transparent = False\n",
        "    )"
      ],
      "metadata": {
        "cellView": "form",
        "id": "GUig9RGlwzrs"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@title Grafico Falli-Cartellini 2021-22\n",
        "plotFoulsCards(fouls_2122_df, Lega2122text, \"21_22\", Squadra2122text)"
      ],
      "metadata": {
        "cellView": "form",
        "id": "2uelrGGDw7VQ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@title Grafico Falli-Cartellini 2020-21\n",
        "plotFoulsCards(fouls_2021_df, Lega2122text, \"20_21\", Squadra2021text)"
      ],
      "metadata": {
        "cellView": "form",
        "id": "9XgVRTcow73Z"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@title (4) PPDA e Possesso Palla: Logiche\n",
        "Lega2122 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Lega2122']\n",
        "Lega2122v = Lega2122.values[0]\n",
        "Lega2021 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Lega2021']\n",
        "Lega2021v = Lega2021.values[0]\n",
        "Stagione2122 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Stagione2122']\n",
        "Stagione2122v = Stagione2122.values[0]\n",
        "Stagione2021 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Stagione2021']\n",
        "Stagione2021v = Stagione2021.values[0]\n",
        "Team2122 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Team2122']\n",
        "Team2122v = Team2122.values[0]\n",
        "Team2021 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Team2021']\n",
        "Team2021v = Team2021.values[0]\n",
        "teams_2122 = teams_2122_A if (Lega2122v == Stagione21_22['Serie A'][0]) else teams_2122_B\n",
        "teams_2021 = teams_2021_A if (Lega2021v == Stagione20_21['Serie A'][0]) else teams_2021_B\n",
        "\n",
        "legakey_list = list(Lega.keys())\n",
        "legaval_list = list(Lega.values())\n",
        "position_2122 = legaval_list.index(Lega2122v)\n",
        "Lega2122text = legakey_list[position_2122]\n",
        "position_2021 = legaval_list.index(Lega2021v)\n",
        "Lega2021text = legakey_list[position_2021]\n",
        "\n",
        "if (Lega2122text=='Serie A'):\n",
        "  team2122_dict = teams_2122_A\n",
        "else:\n",
        "  team2122_dict = teams_2122_B\n",
        "Squadra2122text = team2122_dict[Team2122v]\n",
        "if (Lega2021text=='Serie A'):\n",
        "  team2021_dict = teams_2021_A\n",
        "else:\n",
        "  team2021_dict = teams_2021_B\n",
        "Squadra2021text = team2021_dict[Team2021v]\n",
        "\n",
        "def getMatches(teamId, seasonId):\n",
        "  matches = []\n",
        "  api_url = base_url.format(f'/teams/{teamId}/matches?seasonId={seasonId}')\n",
        "  response = requests.get(api_url, auth=HTTPBasicAuth(username, token))\n",
        "  if response.ok:\n",
        "    season_matches = response.json()['matches']\n",
        "\n",
        "  for m in season_matches:\n",
        "    api_url = base_url.format('/matches/%s'%(m['matchId']))\n",
        "    response = requests.get(api_url, auth=HTTPBasicAuth(username, token))\n",
        "    if response.ok:\n",
        "      matches.append(response.json())\n",
        "\n",
        "  match_name = {}\n",
        "  for m in matches:\n",
        "    match_name[m['wyId']] = m['label']\n",
        "  return match_name\n",
        "\n",
        "\n",
        "def getPPDA(wyId, seasonId, match_name):\n",
        "  matches_PPDA = {}\n",
        "  for matchId in match_name.keys():\n",
        "    api_url = base_url.format(f'/teams/{wyId}/matches/{matchId}/advancedstats')\n",
        "    response = requests.get(api_url, auth=HTTPBasicAuth(username, token))\n",
        "    if response.ok:\n",
        "      total_stats = response.json()['total']\n",
        "      matches_PPDA[matchId]=total_stats['ppda']\n",
        "\n",
        "  return matches_PPDA\n",
        "\n",
        "print(\"--- PPDA 21-22\")\n",
        "PPDA_2122 = {}\n",
        "for teamId in teams_2122.keys():\n",
        "  team_name_2122 = getMatches(teamId, Stagione2122v)\n",
        "  PPDA_2122[teamId] = getPPDA(teamId, Stagione2122v, team_name_2122)\n",
        "print(\"--- PPDA 20-21\")\n",
        "PPDA_2021 = {}\n",
        "for teamId in teams_2021.keys():\n",
        "  team_name_2021 = getMatches(teamId, Stagione2021v)\n",
        "  PPDA_2021[teamId] = getPPDA(teamId, Stagione2021v, team_name_2021)\n",
        "\n",
        "def getSeasonPPDA(PPDA_detailed, team_name):\n",
        "  seasonPPDA = {}\n",
        "  for teamId in PPDA_detailed.keys():\n",
        "    seasonPPDA[teamId] = round(sum(PPDA_detailed[teamId].values())/len(PPDA_detailed[teamId].values()),2)\n",
        "  AvgPPDA_s = pd.Series(data=seasonPPDA, name='AvgPPDA')\n",
        "  team_name_df =  pd.Series(data=team_name, name = 'team')\n",
        "  AvgPPDA_df = pd.merge(team_name_df, AvgPPDA_s, how='left', left_index=True, right_index=True)\n",
        "  return AvgPPDA_df\n",
        "\n",
        "print(\"--- Season PPDA 21-22\")\n",
        "seasonPPDA_2122 = getSeasonPPDA(PPDA_2122, teams_2122)\n",
        "print(\"--- Season PPDA 20-21\")\n",
        "seasonPPDA_2021 = getSeasonPPDA(PPDA_2021, teams_2021)\n",
        "\n",
        "##### PPDA Plot Logic\n",
        "def plotPPDAseson(seasonPPDA, footTeams, lega, stagione, squadra):\n",
        "  different_team_PPDA = pd.merge(seasonPPDA, footTeams, how = \"left\")\n",
        "  different_team_PPDA['Colors'] = \"#005a9b\"\n",
        "  different_team_PPDA.loc[different_team_PPDA['team'] == squadra, 'Colors'] = \"#FFDA29\"\n",
        "  different_team_PPDA.replace({\n",
        "        \"team\":{\n",
        "         'Fiorentina' : 'FIO', 'Milan':'MIL', 'Atalanta':'ATA', 'Bologna':'BOL', 'Cremonese':'CRE', 'Empoli':'EMP',\n",
        "         'Hellas Verona':'VER', 'Internazionale':'INT', 'Juventus':'JUV', 'Lazio':'LAZ', 'Lecce':'LEC', 'Monza':'MON',\n",
        "         'Roma':'ROM', 'Napoli':'NAP', 'Salernitana':'SAL', 'Sampdoria':'SAM', 'Sassuolo':'SAS', 'Spezia':'SPE',\n",
        "         'Torino':'TOR', 'Udinese':'UDI', 'Genoa':'GEN', 'Cagliari':'CAG', 'Venezia':'VEN', 'Benevento':'BEN',\n",
        "         'Crotone':'CRO', 'Parma':'PAR', 'Brescia':'BRE', 'Spal':'SPA',\n",
        "         'Alessandria':'ALE', 'Ascoli':'ASC', 'Cittadella':'CIT', 'Como':'COM', 'Cosenza':'COS', 'Frosinone':'FRO',\n",
        "         'Vicenza':'VIC', 'Perugia':'PER', 'Pisa':'PIS', 'Pordenone':'POR', 'Reggina':'REG', 'Ternana':'TER',\n",
        "         'Pescara':'PES', 'Reggiana':'REA', 'Virtus Entella':'ENT', 'Chievo':'CHI', 'Juve Stabia':'STA', 'Livorno':'LIV', 'Trapani':'TRA'\n",
        "        }}, inplace = True)\n",
        "  different_team_PPDA.sort_values('AvgPPDA', ascending=False, ignore_index=True, inplace=True)\n",
        "  different_team_PPDA_avg = different_team_PPDA['AvgPPDA'].mean()\n",
        "  X_season = different_team_PPDA['team'].values\n",
        "  height_season = different_team_PPDA['AvgPPDA'].values\n",
        "\n",
        "  fig = plt.figure(figsize=(6, 2.5), dpi = 200, facecolor = \"#EFE9E6\")\n",
        "  ax = plt.subplot(111, facecolor = \"#EFE9E6\")\n",
        "  # Add spines\n",
        "  ax.spines[\"top\"].set(visible = False)\n",
        "  ax.spines[\"right\"].set(visible = False)\n",
        "  # Add grid and axis labels\n",
        "  ax.grid(True, color = \"lightgrey\", ls = \":\")\n",
        "  # We specify the width of the bar\n",
        "  width = 0.5\n",
        "\n",
        "  # Different LineUps\n",
        "  ax.bar(\n",
        "    X_season, \n",
        "    height_season, \n",
        "    ec = \"black\", \n",
        "    lw = .75, \n",
        "    color = different_team_PPDA['Colors'], \n",
        "    zorder = 3, \n",
        "    width = width,\n",
        "    label = \"PPDA medio\"\n",
        "  )\n",
        "  ax.axhline(y=different_team_PPDA_avg, color='red', linestyle='--', label='average')\n",
        "  for index, y in enumerate(height_season):\n",
        "    ax.annotate(\n",
        "        xy = (index, y),\n",
        "        text = f\"{y:.1f}\",\n",
        "        xytext = (0, 7),\n",
        "        textcoords = \"offset points\",\n",
        "        size = 6,\n",
        "        color = \"#005a9b\",\n",
        "        ha = \"center\",\n",
        "        va = \"center\",\n",
        "        weight = \"bold\"\n",
        "    )\n",
        "\n",
        "  xticks_ = ax.xaxis.set_ticks(\n",
        "    ticks = []\n",
        "  )\n",
        "  ax.tick_params(labelsize = 8)\n",
        "  # --- Axes transformations\n",
        "  DC_to_FC = ax.transData.transform\n",
        "  FC_to_NFC = fig.transFigure.inverted().transform\n",
        "\n",
        "  # Native data to normalized data coordinates\n",
        "  DC_to_NFC = lambda x: FC_to_NFC(DC_to_FC(x))\n",
        "\n",
        "  fotmob_url = \"https://images.fotmob.com/image_resources/logo/teamlogo/\"\n",
        "  for index, team_id in enumerate(different_team_PPDA[\"footId\"]):\n",
        "    ax_coords = DC_to_NFC([index - 1.1*width, -2.4])\n",
        "    logo_ax = fig.add_axes([ax_coords[0], ax_coords[1], 0.09, 0.09], anchor = \"W\")\n",
        "    club_icon = Image.open(urllib.request.urlopen(f\"{fotmob_url}{team_id:.0f}.png\")).convert(\"LA\")\n",
        "    logo_ax.imshow(club_icon)\n",
        "    logo_ax.axis(\"off\")\n",
        "    logo_ax.annotate(\n",
        "        xy =(0, 0),\n",
        "        text = f\"({different_team_PPDA['team'].iloc[index]})\",\n",
        "        xytext = (8, -19),\n",
        "        textcoords = \"offset points\",\n",
        "        size = 4,\n",
        "        ha = \"center\",\n",
        "        va = \"center\"\n",
        "    )\n",
        "\n",
        "  fig_text(\n",
        "    x = 0.12, y = 1.1,\n",
        "    s = \"PPDA Medio Stagionale\",\n",
        "    weight = \"bold\",\n",
        "    size = 10\n",
        "  )\n",
        "  title = lega + \" \" + stagione\n",
        "  fig_text(\n",
        "    x = 0.12, y = 1,\n",
        "    s = title,\n",
        "    color = \"grey\",\n",
        "    size = 7\n",
        "  )\n",
        "\n",
        "  legaSemplice = lega.split()[1]\n",
        "  filename = \"./figures/PPDA_Medio_Serie\"+ legaSemplice +\"_\"+ stagione + \".png\"\n",
        "  plt.savefig(\n",
        "\t  filename,\n",
        "\t  dpi = 600,\n",
        "\t  facecolor = \"#EFE9E6\",\n",
        "\t  bbox_inches=\"tight\",\n",
        "    edgecolor=\"none\",\n",
        "\t  transparent = False\n",
        "  )\n",
        "\n",
        "### LOGICA Avg Possession\n",
        "def getAvBallPossessionPct(wyId, compId, seasonId):\n",
        "  matches = []\n",
        "  api_url = base_url.format(f'/teams/{wyId}/advancedstats?seasonId={seasonId}&compId={compId}')\n",
        "  response = requests.get(api_url, auth=HTTPBasicAuth(username, token))\n",
        "  if response.ok:\n",
        "    avg_team_stats = response.json()['average']\n",
        "  return avg_team_stats['possessionPercent']\n",
        "\n",
        "\n",
        "def getTeamAvBallPossessionPct(teams, compId, seasonId):\n",
        "  AvgTeamPoss = {}\n",
        "  for teamId in teams.keys():\n",
        "    AvgTeamPoss[teamId] = getAvBallPossessionPct(teamId, compId, seasonId)\n",
        "  AvgTeamPoss_s = pd.Series(data=AvgTeamPoss, name='AvgTeamPoss')\n",
        "  team_name_df =  pd.Series(data=teams, name = 'team')\n",
        "  AvgTeamPoss_df = pd.merge(team_name_df, AvgTeamPoss_s, how='left', left_index=True, right_index=True)\n",
        "  return AvgTeamPoss_df\n",
        "\n",
        "##### Evaluate Avg Possession\n",
        "print(\"--- Possesso 21-22\")\n",
        "AvgTeamPoss_2122 = getTeamAvBallPossessionPct(teams_2122, Lega2122v, Stagione2122v)\n",
        "print(\"--- Possesso 20-21\")\n",
        "AvgTeamPoss_2021 = getTeamAvBallPossessionPct(teams_2021, Lega2021v, Stagione2021v)\n",
        "\n",
        "\n",
        "##### Possession Plot Logic\n",
        "def plotTeamPoss(AvgTeamPoss, footTeams, lega, stagione, squadra):\n",
        "  different_team_poss = pd.merge(AvgTeamPoss, footTeams, how = \"left\")\n",
        "  different_team_poss['Colors'] = \"#005a9b\"\n",
        "  different_team_poss.loc[different_team_poss['team'] == squadra, 'Colors'] = \"#FFDA29\"\n",
        "  different_team_poss.replace({\n",
        "        \"team\":{\n",
        "         'Fiorentina' : 'FIO', 'Milan':'MIL', 'Atalanta':'ATA', 'Bologna':'BOL', 'Cremonese':'CRE', 'Empoli':'EMP',\n",
        "         'Hellas Verona':'VER', 'Internazionale':'INT', 'Juventus':'JUV', 'Lazio':'LAZ', 'Lecce':'LEC', 'Monza':'MON',\n",
        "         'Roma':'ROM', 'Napoli':'NAP', 'Salernitana':'SAL', 'Sampdoria':'SAM', 'Sassuolo':'SAS', 'Spezia':'SPE',\n",
        "         'Torino':'TOR', 'Udinese':'UDI', 'Genoa':'GEN', 'Cagliari':'CAG', 'Venezia':'VEN', 'Benevento':'BEN',\n",
        "         'Crotone':'CRO', 'Parma':'PAR', 'Brescia':'BRE', 'Spal':'SPA',\n",
        "         'Alessandria':'ALE', 'Ascoli':'ASC', 'Cittadella':'CIT', 'Como':'COM', 'Cosenza':'COS', 'Frosinone':'FRO',\n",
        "         'Vicenza':'VIC', 'Perugia':'PER', 'Pisa':'PIS', 'Pordenone':'POR', 'Reggina':'REG', 'Ternana':'TER',\n",
        "         'Pescara':'PES', 'Reggiana':'REA', 'Virtus Entella':'ENT', 'Chievo':'CHI', 'Juve Stabia':'STA', 'Livorno':'LIV', 'Trapani':'TRA'\n",
        "        }}, inplace = True)\n",
        "  different_team_poss.sort_values('AvgTeamPoss', ascending=False, ignore_index=True, inplace=True)\n",
        "  different_team_poss_avg = different_team_poss['AvgTeamPoss'].mean()\n",
        "  X_season = different_team_poss['team'].values\n",
        "  height_season = different_team_poss['AvgTeamPoss'].values\n",
        "\n",
        "  fig = plt.figure(figsize=(6, 2.5), dpi = 200, facecolor = \"#EFE9E6\")\n",
        "  ax = plt.subplot(111, facecolor = \"#EFE9E6\")\n",
        "  # Add spines\n",
        "  ax.spines[\"top\"].set(visible = False)\n",
        "  ax.spines[\"right\"].set(visible = False)\n",
        "  # Add grid and axis labels\n",
        "  ax.grid(True, color = \"lightgrey\", ls = \":\")\n",
        "  # We specify the width of the bar\n",
        "  width = 0.5\n",
        "\n",
        "  # Different LineUps\n",
        "  ax.bar(\n",
        "    X_season, \n",
        "    height_season, \n",
        "    ec = \"black\", \n",
        "    lw = .75, \n",
        "    color = different_team_poss['Colors'], \n",
        "    zorder = 3, \n",
        "    width = width,\n",
        "    label = \"PPDA medio\"\n",
        "  )\n",
        "  ax.axhline(y=different_team_poss_avg, color='red', linestyle='--', label='average')\n",
        "  for index, y in enumerate(height_season):\n",
        "    ax.annotate(\n",
        "        xy = (index, y),\n",
        "        text = f\"{y:.1f}\",\n",
        "        xytext = (0, 7),\n",
        "        textcoords = \"offset points\",\n",
        "        size = 6,\n",
        "        color = \"#005a9b\",\n",
        "        ha = \"center\",\n",
        "        va = \"center\",\n",
        "        weight = \"bold\"\n",
        "    )\n",
        "\n",
        "  xticks_ = ax.xaxis.set_ticks(\n",
        "    ticks = []\n",
        "  )\n",
        "  ax.tick_params(labelsize = 8)\n",
        "  # --- Axes transformations\n",
        "  DC_to_FC = ax.transData.transform\n",
        "  FC_to_NFC = fig.transFigure.inverted().transform\n",
        "\n",
        "  # Native data to normalized data coordinates\n",
        "  DC_to_NFC = lambda x: FC_to_NFC(DC_to_FC(x))\n",
        "\n",
        "  fotmob_url = \"https://images.fotmob.com/image_resources/logo/teamlogo/\"\n",
        "  for index, team_id in enumerate(different_team_poss[\"footId\"]):\n",
        "    ax_coords = DC_to_NFC([index - 1.1*width, -8])\n",
        "    logo_ax = fig.add_axes([ax_coords[0], ax_coords[1], 0.09, 0.09], anchor = \"W\")\n",
        "    club_icon = Image.open(urllib.request.urlopen(f\"{fotmob_url}{team_id:.0f}.png\")).convert(\"LA\")\n",
        "    logo_ax.imshow(club_icon)\n",
        "    logo_ax.axis(\"off\")\n",
        "    logo_ax.annotate(\n",
        "        xy =(0, 0),\n",
        "        text = f\"({different_team_poss['team'].iloc[index]})\",\n",
        "        xytext = (8, -19),\n",
        "        textcoords = \"offset points\",\n",
        "        size = 4,\n",
        "        ha = \"center\",\n",
        "        va = \"center\"\n",
        "    )\n",
        "\n",
        "  fig_text(\n",
        "    x = 0.12, y = 1.1,\n",
        "    s = \"Possesso Medio Stagionale (%)\",\n",
        "    weight = \"bold\",\n",
        "    size = 10\n",
        "  )\n",
        "  title = lega + \" \" + stagione\n",
        "  fig_text(\n",
        "    x = 0.12, y = 1,\n",
        "    s = title,\n",
        "    color = \"grey\",\n",
        "    size = 7\n",
        "  )\n",
        "\n",
        "  legaSemplice = lega.split()[1]\n",
        "  filename = \"./figures/Possesso_Medio_Serie\"+ legaSemplice +\"_\"+ stagione + \".png\"\n",
        "  plt.savefig(\n",
        "\t  filename,\n",
        "\t  dpi = 600,\n",
        "\t  facecolor = \"#EFE9E6\",\n",
        "\t  bbox_inches=\"tight\",\n",
        "    edgecolor=\"none\",\n",
        "\t  transparent = False\n",
        "  )\n"
      ],
      "metadata": {
        "cellView": "form",
        "id": "drDO88tXxRug"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@title Grafico PPDA 2021-22\n",
        "plotPPDAseson(seasonPPDA_2122, footTeams, Lega2122text, \"21_22\", Squadra2122text)"
      ],
      "metadata": {
        "cellView": "form",
        "id": "bquacgWlxfkp"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@title Grafico PPDA 2020-21\n",
        "plotPPDAseson(seasonPPDA_2021, footTeams, Lega2021text, \"20_21\", Squadra2021text)"
      ],
      "metadata": {
        "cellView": "form",
        "id": "YyemgmJrxjKt"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@title Grafico Possesso 2021-22\n",
        "plotTeamPoss(AvgTeamPoss_2122, footTeams, Lega2122text, \"21_22\", Squadra2122text)"
      ],
      "metadata": {
        "cellView": "form",
        "id": "OZA6DMnQxjbj"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@title Grafico Possesso 2020-21\n",
        "plotTeamPoss(AvgTeamPoss_2021, footTeams, Lega2021text, \"20_21\", Squadra2021text)"
      ],
      "metadata": {
        "cellView": "form",
        "id": "1uSI_-gmxjsf"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@title (5) Seconde Palle: Logiche\n",
        "Lega2122 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Lega2122']\n",
        "Lega2122v = Lega2122.values[0]\n",
        "Lega2021 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Lega2021']\n",
        "Lega2021v = Lega2021.values[0]\n",
        "Stagione2122 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Stagione2122']\n",
        "Stagione2122v = Stagione2122.values[0]\n",
        "Stagione2021 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Stagione2021']\n",
        "Stagione2021v = Stagione2021.values[0]\n",
        "Team2122 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Team2122']\n",
        "Team2122v = Team2122.values[0]\n",
        "Team2021 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Team2021']\n",
        "Team2021v = Team2021.values[0]\n",
        "teams_2122 = teams_2122_A if (Lega2122v == Stagione21_22['Serie A'][0]) else teams_2122_B\n",
        "teams_2021 = teams_2021_A if (Lega2021v == Stagione20_21['Serie A'][0]) else teams_2021_B\n",
        "\n",
        "legakey_list = list(Lega.keys())\n",
        "legaval_list = list(Lega.values())\n",
        "position_2122 = legaval_list.index(Lega2122v)\n",
        "Lega2122text = legakey_list[position_2122]\n",
        "position_2021 = legaval_list.index(Lega2021v)\n",
        "Lega2021text = legakey_list[position_2021]\n",
        "\n",
        "# Opening stored JSON file: Wyscout API\n",
        "if (Lega2122text=='Serie A'):\n",
        "  team2122_dict = teams_2122_A\n",
        "  ev_file1 = './events_serieA_2021_2022_v2.json'\n",
        "elif (Lega2122text == 'Serie B'): # B 21-22\n",
        "  team2122_dict = teams_2122_B\n",
        "  ev_file1 = './events_serieB_2021_2022_v2.json'\n",
        "Squadra2122text = team2122_dict[Team2122v]\n",
        "if (Lega2021text=='Serie A'):\n",
        "  team2021_dict = teams_2021_A\n",
        "  ev_file2 = './events_serieA_2020_2021_v2.json'\n",
        "elif (Lega2021text == 'Serie B'): # B 20-21\n",
        "  team2021_dict = teams_2021_B\n",
        "  ev_file2 = './events_serieB_2020_2021_v2.json'\n",
        "Squadra2021text = team2021_dict[Team2021v]\n",
        "\n",
        "ev1 = open(ev_file1)\n",
        "events2122 = json.load(ev1)\n",
        "ev2 = open(ev_file2)\n",
        "events2021 = json.load(ev2)\n",
        "\n",
        "\n",
        "def second_ball(events):\n",
        "  second_balls = []\n",
        "  for i,event in enumerate(events):\n",
        "    if event['subEventName'] == \"Air duel\":\n",
        "      next_events = events[i+1:i+3]\n",
        "      passes_next = [x for x in next_events if x[\"eventName\"] == \"Pass\"]\n",
        "      if len(passes_next) == 0:\n",
        "        continue\n",
        "      else:\n",
        "        my_pass = passes_next[0]\n",
        "        # Tag 1801 : Accurate\n",
        "        if {'id': 1801} in my_pass['tags']:\n",
        "          #second ball detected\n",
        "          doc = {\n",
        "            'playerId' : my_pass['playerId'],\n",
        "            'matchId' : my_pass['matchId'],\n",
        "            'teamId' :  my_pass['teamId'],\n",
        "            'eventSec' : my_pass['eventSec'],\n",
        "            'positions' : my_pass['positions'],\n",
        "            'eventSec' : event['eventSec'],\n",
        "            'matchPeriod' : my_pass['matchPeriod'] ,\n",
        "            'eventName' : \"Second Ball\",\n",
        "            'subEventName' : \"Second Ball\",\n",
        "            'eventId' : 9999,\n",
        "            'subEventId': 0\n",
        "            }\n",
        "          second_balls.append(doc)\n",
        "  return second_balls\n",
        "\n",
        "def air_duel(events):\n",
        "  aird = []\n",
        "  for i,event in enumerate(events):\n",
        "    if event['subEventName'] == \"Air duel\":\n",
        "      doc = {\n",
        "        'playerId' : event['playerId'],\n",
        "        'matchId' : event['matchId'],\n",
        "        'teamId' :  event['teamId'],\n",
        "        'eventSec' : event['eventSec'],\n",
        "        'positions' : event['positions'],\n",
        "        'eventSec' : event['eventSec'],\n",
        "        'matchPeriod' : event['matchPeriod'] ,\n",
        "        'eventName' : \"Duel\",\n",
        "        'subEventName' : \"Air duel\",\n",
        "        'eventId' : 1,\n",
        "        'subEventId': 10\n",
        "  }\n",
        "      aird.append(doc)\n",
        "  return aird\n",
        "\n",
        "def team_second_ball_duel(team_name, events):\n",
        "  second_balls_list = second_ball(events)\n",
        "  aird_list = air_duel(events)  \n",
        "\n",
        "  sb_loc = []\n",
        "  for i,ev in enumerate(second_balls_list):\n",
        "    doc1 = {}\n",
        "    doc1['player'] = ev['playerId']\n",
        "    doc1['match'] = ev['matchId']\n",
        "    doc1['team'] = team_name[ev['teamId']]\n",
        "    doc1['eventName'] = ev['eventName']\n",
        "    doc1['subEventName'] = ev['subEventName']\n",
        "    doc1['eventId'] = ev['eventId']\n",
        "    doc1['subEventId'] = ev['subEventId']\n",
        "    doc1['matchPeriod'] = ev['matchPeriod']\n",
        "    doc1['eventSec'] = ev['eventSec']\n",
        "    doc1['x'] = ev['positions'][0]['x']\n",
        "    doc1['y'] = ev['positions'][0]['y']\n",
        "    sb_loc.append(doc1)\n",
        "  sb = pd.DataFrame(sb_loc)\n",
        "\n",
        "  ad_loc = []\n",
        "  for i,ev in enumerate(aird_list):\n",
        "    doc1 = {}\n",
        "    doc1['team'] = team_name[ev['teamId']]\n",
        "    doc1['eventName'] = ev['eventName']\n",
        "    doc1['subEventName'] = ev['subEventName']\n",
        "    doc1['eventId'] = ev['eventId']\n",
        "    doc1['subEventId'] = ev['subEventId']\n",
        "    doc1['matchPeriod'] = ev['matchPeriod']\n",
        "    doc1['eventSec'] = ev['eventSec']\n",
        "    doc1['x'] = ev['positions'][0]['x']\n",
        "    doc1['y'] = ev['positions'][0]['y']\n",
        "    ad_loc.append(doc1)\n",
        "  ad = pd.DataFrame(ad_loc)\n",
        "  return sb, ad\n",
        "\n",
        "secball_2122, airduel_2122 = team_second_ball_duel(teams_2122, events2122)\n",
        "secball_2122.drop_duplicates(inplace=True)\n",
        "airduel_2122.drop_duplicates(inplace=True)\n",
        "secball_2122.reset_index(drop=True, inplace=True)\n",
        "airduel_2122.reset_index(drop=True, inplace=True)\n",
        "\n",
        "secball_2021, airduel_2021 = team_second_ball_duel(teams_2021, events2021)\n",
        "secball_2021.drop_duplicates(inplace=True)\n",
        "airduel_2021.drop_duplicates(inplace=True)\n",
        "secball_2021.reset_index(drop=True, inplace=True)\n",
        "airduel_2021.reset_index(drop=True, inplace=True)\n",
        "\n",
        "sb_2122_by_team_s = secball_2122.groupby('team').count()['eventId']\n",
        "sb_2122_by_team_s = sb_2122_by_team_s.sort_values(ascending=False)\n",
        "sb_2122_by_team = sb_2122_by_team_s.to_frame().reset_index()\n",
        "sb_2122_by_team.rename({'eventId':'secondBall'}, axis=1, inplace=True)\n",
        "sb_2122_by_team_duel_s = airduel_2122.groupby('team').count()['eventId']\n",
        "sb_2122_by_team_duel_s = sb_2122_by_team_duel_s.sort_values(ascending=False)\n",
        "sb_2122_by_team_duel = sb_2122_by_team_duel_s.to_frame().reset_index()\n",
        "sb_2122_by_team_duel.rename({'eventId':'airDuel'}, axis=1, inplace=True)\n",
        "\n",
        "sb_2021_by_team_s = secball_2021.groupby('team').count()['eventId']\n",
        "sb_2021_by_team_s = sb_2021_by_team_s.sort_values(ascending=False)\n",
        "sb_2021_by_team = sb_2021_by_team_s.to_frame().reset_index()\n",
        "sb_2021_by_team.rename({'eventId':'secondBall'}, axis=1, inplace=True)\n",
        "sb_2021_by_team_duel_s = airduel_2021.groupby('team').count()['eventId']\n",
        "sb_2021_by_team_duel_s = sb_2021_by_team_duel_s.sort_values(ascending=False)\n",
        "sb_2021_by_team_duel = sb_2021_by_team_duel_s.to_frame().reset_index()\n",
        "sb_2021_by_team_duel.rename({'eventId':'airDuel'}, axis=1, inplace=True)\n",
        "\n",
        "sb2122_per_airduel = pd.merge(sb_2122_by_team, sb_2122_by_team_duel)\n",
        "sb2021_per_airduel = pd.merge(sb_2021_by_team, sb_2021_by_team_duel)\n",
        "\n",
        "sb2122_per_airduel['SB/duel'] = round(sb2122_per_airduel['secondBall']/sb2122_per_airduel['airDuel'],2)\n",
        "sb2122_per_airduel.sort_values(by='SB/duel', ascending=False, inplace=True)\n",
        "sb2122_per_airduel.reset_index(inplace=True, drop=True)\n",
        "sb2021_per_airduel['SB/duel'] = round(sb2021_per_airduel['secondBall']/sb2021_per_airduel['airDuel'],2)\n",
        "sb2021_per_airduel.sort_values(by='SB/duel', ascending=False, inplace=True)\n",
        "sb2021_per_airduel.reset_index(inplace=True, drop=True)\n",
        "\n",
        "##### Second Ball Plot Logic\n",
        "def plotTeamSB(sb_by_team, footTeams, lega, stagione, squadra):\n",
        "  team_sb = pd.merge(sb_by_team, footTeams, how = \"left\")\n",
        "  team_sb['Colors'] = \"#005a9b\"\n",
        "  team_sb.loc[team_sb['team'] == squadra, 'Colors'] = \"#FFDA29\"\n",
        "  team_sb.replace({\n",
        "        \"team\":{\n",
        "         'Fiorentina' : 'FIO', 'Milan':'MIL', 'Atalanta':'ATA', 'Bologna':'BOL', 'Cremonese':'CRE', 'Empoli':'EMP',\n",
        "         'Hellas Verona':'VER', 'Internazionale':'INT', 'Juventus':'JUV', 'Lazio':'LAZ', 'Lecce':'LEC', 'Monza':'MON',\n",
        "         'Roma':'ROM', 'Napoli':'NAP', 'Salernitana':'SAL', 'Sampdoria':'SAM', 'Sassuolo':'SAS', 'Spezia':'SPE',\n",
        "         'Torino':'TOR', 'Udinese':'UDI', 'Genoa':'GEN', 'Cagliari':'CAG', 'Venezia':'VEN', 'Benevento':'BEN',\n",
        "         'Crotone':'CRO', 'Parma':'PAR', 'Brescia':'BRE', 'Spal':'SPA',\n",
        "         'Alessandria':'ALE', 'Ascoli':'ASC', 'Cittadella':'CIT', 'Como':'COM', 'Cosenza':'COS', 'Frosinone':'FRO',\n",
        "         'Vicenza':'VIC', 'Perugia':'PER', 'Pisa':'PIS', 'Pordenone':'POR', 'Reggina':'REG', 'Ternana':'TER',\n",
        "         'Pescara':'PES', 'Reggiana':'REA', 'Virtus Entella':'ENT', 'Chievo':'CHI', 'Juve Stabia':'STA', 'Livorno':'LIV', 'Trapani':'TRA'\n",
        "        }}, inplace = True)\n",
        "  team_sb.sort_values('secondBall', ascending=False, ignore_index=True, inplace=True)\n",
        "  team_sb_avg = team_sb['secondBall'].mean()\n",
        "  X_season = team_sb['team'].values\n",
        "  height_season = team_sb['secondBall'].values\n",
        "\n",
        "  fig = plt.figure(figsize=(6, 2.5), dpi = 200, facecolor = \"#EFE9E6\")\n",
        "  ax = plt.subplot(111, facecolor = \"#EFE9E6\")\n",
        "  # Add spines\n",
        "  ax.spines[\"top\"].set(visible = False)\n",
        "  ax.spines[\"right\"].set(visible = False)\n",
        "  # Add grid and axis labels\n",
        "  ax.grid(True, color = \"lightgrey\", ls = \":\")\n",
        "  # We specify the width of the bar\n",
        "  width = 0.5\n",
        "\n",
        "  # Different LineUps\n",
        "  ax.bar(\n",
        "    X_season, \n",
        "    height_season, \n",
        "    ec = \"black\", \n",
        "    lw = .75, \n",
        "    color = team_sb['Colors'], \n",
        "    zorder = 3, \n",
        "    width = width,\n",
        "    label = \"#\"\n",
        "  )\n",
        "  ax.axhline(y=team_sb_avg, color='red', linestyle='--', label='average')\n",
        "  for index, y in enumerate(height_season):\n",
        "    ax.annotate(\n",
        "        xy = (index, y),\n",
        "        text = f\"{y:.0f}\",\n",
        "        xytext = (0, 7),\n",
        "        textcoords = \"offset points\",\n",
        "        size = 7,\n",
        "        color = \"#005a9b\",\n",
        "        ha = \"center\",\n",
        "        va = \"center\",\n",
        "        weight = \"bold\"\n",
        "    )\n",
        "\n",
        "  xticks_ = ax.xaxis.set_ticks(\n",
        "    ticks = []\n",
        "  )\n",
        "  ax.tick_params(labelsize = 8)\n",
        "  # --- Axes transformations\n",
        "  DC_to_FC = ax.transData.transform\n",
        "  FC_to_NFC = fig.transFigure.inverted().transform\n",
        "\n",
        "  # Native data to normalized data coordinates\n",
        "  DC_to_NFC = lambda x: FC_to_NFC(DC_to_FC(x))\n",
        "\n",
        "  fotmob_url = \"https://images.fotmob.com/image_resources/logo/teamlogo/\"\n",
        "  for index, team_id in enumerate(team_sb[\"footId\"]):\n",
        "    ax_coords = DC_to_NFC([index - 1.1*width, -70])\n",
        "    logo_ax = fig.add_axes([ax_coords[0], ax_coords[1], 0.09, 0.09], anchor = \"W\")\n",
        "    club_icon = Image.open(urllib.request.urlopen(f\"{fotmob_url}{team_id:.0f}.png\")).convert(\"LA\")\n",
        "    logo_ax.imshow(club_icon)\n",
        "    logo_ax.axis(\"off\")\n",
        "    logo_ax.annotate(\n",
        "        xy =(0, 0),\n",
        "        text = f\"({team_sb['team'].iloc[index]})\",\n",
        "        xytext = (8, -19),\n",
        "        textcoords = \"offset points\",\n",
        "        size = 4,\n",
        "        ha = \"center\",\n",
        "        va = \"center\"\n",
        "    )\n",
        "\n",
        "  fig_text(\n",
        "    x = 0.12, y = 1.1,\n",
        "    s = \"Seconde Palle conquistate\",\n",
        "    weight = \"bold\",\n",
        "    size = 10\n",
        "  )\n",
        "  title = lega + \" \" + stagione\n",
        "  fig_text(\n",
        "    x = 0.12, y = 1,\n",
        "    s = title,\n",
        "    color = \"grey\",\n",
        "    size = 7\n",
        "  )\n",
        "  legaSemplice = lega.split()[1]\n",
        "  filename = \"./figures/Seconde_Palle_totali_Serie\"+ legaSemplice +\"_\"+ stagione + \".png\"\n",
        "  plt.savefig(\n",
        "\t  filename,\n",
        "\t  dpi = 600,\n",
        "\t  facecolor = \"#EFE9E6\",\n",
        "\t  bbox_inches=\"tight\",\n",
        "    edgecolor=\"none\",\n",
        "\t  transparent = False\n",
        "  )\n",
        "\n",
        "##### Second Ball per Duel Plot Logic\n",
        "def plotTeamSB_per_Duel(sb_duel_by_team, footTeams, lega, stagione, squadra):\n",
        "  team_sb = pd.merge(sb_duel_by_team, footTeams, how = \"left\")\n",
        "  team_sb['Colors'] = \"#005a9b\"\n",
        "  team_sb.loc[team_sb['team'] == squadra, 'Colors'] = \"#FFDA29\"\n",
        "  team_sb.replace({\n",
        "        \"team\":{\n",
        "         'Fiorentina' : 'FIO', 'Milan':'MIL', 'Atalanta':'ATA', 'Bologna':'BOL', 'Cremonese':'CRE', 'Empoli':'EMP',\n",
        "         'Hellas Verona':'VER', 'Internazionale':'INT', 'Juventus':'JUV', 'Lazio':'LAZ', 'Lecce':'LEC', 'Monza':'MON',\n",
        "         'Roma':'ROM', 'Napoli':'NAP', 'Salernitana':'SAL', 'Sampdoria':'SAM', 'Sassuolo':'SAS', 'Spezia':'SPE',\n",
        "         'Torino':'TOR', 'Udinese':'UDI', 'Genoa':'GEN', 'Cagliari':'CAG', 'Venezia':'VEN', 'Benevento':'BEN',\n",
        "         'Crotone':'CRO', 'Parma':'PAR', 'Brescia':'BRE', 'Spal':'SPA',\n",
        "         'Alessandria':'ALE', 'Ascoli':'ASC', 'Cittadella':'CIT', 'Como':'COM', 'Cosenza':'COS', 'Frosinone':'FRO',\n",
        "         'Vicenza':'VIC', 'Perugia':'PER', 'Pisa':'PIS', 'Pordenone':'POR', 'Reggina':'REG', 'Ternana':'TER',\n",
        "         'Pescara':'PES', 'Reggiana':'REA', 'Virtus Entella':'ENT', 'Chievo':'CHI', 'Juve Stabia':'STA', 'Livorno':'LIV', 'Trapani':'TRA'\n",
        "        }}, inplace = True)\n",
        "  team_sb.sort_values('SB/duel', ascending=False, ignore_index=True, inplace=True)\n",
        "  team_sb_avg = team_sb['SB/duel'].mean()\n",
        "  X_season = team_sb['team'].values\n",
        "  height_season = team_sb['SB/duel'].values\n",
        "\n",
        "  fig = plt.figure(figsize=(6, 2.5), dpi = 200, facecolor = \"#EFE9E6\")\n",
        "  ax = plt.subplot(111, facecolor = \"#EFE9E6\")\n",
        "  # Add spines\n",
        "  ax.spines[\"top\"].set(visible = False)\n",
        "  ax.spines[\"right\"].set(visible = False)\n",
        "  # Add grid and axis labels\n",
        "  ax.grid(True, color = \"lightgrey\", ls = \":\")\n",
        "  # We specify the width of the bar\n",
        "  width = 0.5\n",
        "\n",
        "  ax.bar(\n",
        "    X_season, \n",
        "    height_season, \n",
        "    ec = \"black\", \n",
        "    lw = .75, \n",
        "    color = team_sb['Colors'], \n",
        "    zorder = 3, \n",
        "    width = width,\n",
        "    label = \"#\"\n",
        "  )\n",
        "  ax.axhline(y=team_sb_avg, color='red', linestyle='--', label='average')\n",
        "  for index, y in enumerate(height_season):\n",
        "    ax.annotate(\n",
        "        xy = (index, y),\n",
        "        text = f\"{y:.2f}\",\n",
        "        xytext = (0, 7),\n",
        "        textcoords = \"offset points\",\n",
        "        size = 6,\n",
        "        color = \"#005a9b\",\n",
        "        ha = \"center\",\n",
        "        va = \"center\",\n",
        "        weight = \"bold\"\n",
        "    )\n",
        "\n",
        "  xticks_ = ax.xaxis.set_ticks(\n",
        "    ticks = []\n",
        "  )\n",
        "  ax.tick_params(labelsize = 8)\n",
        "  # --- Axes transformations\n",
        "  DC_to_FC = ax.transData.transform\n",
        "  FC_to_NFC = fig.transFigure.inverted().transform\n",
        "\n",
        "  # Native data to normalized data coordinates\n",
        "  DC_to_NFC = lambda x: FC_to_NFC(DC_to_FC(x))\n",
        "\n",
        "  fotmob_url = \"https://images.fotmob.com/image_resources/logo/teamlogo/\"\n",
        "  for index, team_id in enumerate(team_sb[\"footId\"]):\n",
        "    ax_coords = DC_to_NFC([index - 1.1*width, -0.04])\n",
        "    logo_ax = fig.add_axes([ax_coords[0], ax_coords[1], 0.09, 0.09], anchor = \"W\")\n",
        "    club_icon = Image.open(urllib.request.urlopen(f\"{fotmob_url}{team_id:.0f}.png\")).convert(\"LA\")\n",
        "    logo_ax.imshow(club_icon)\n",
        "    logo_ax.axis(\"off\")\n",
        "    logo_ax.annotate(\n",
        "        xy =(0, 0),\n",
        "        text = f\"({team_sb['team'].iloc[index]})\",\n",
        "        xytext = (8, -19),\n",
        "        textcoords = \"offset points\",\n",
        "        size = 4,\n",
        "        ha = \"center\",\n",
        "        va = \"center\"\n",
        "    )\n",
        "\n",
        "  fig_text(\n",
        "    x = 0.12, y = 1.1,\n",
        "    s = \"Seconde Palle per ogni Duello Aereo\",\n",
        "    weight = \"bold\",\n",
        "    size = 10\n",
        "  )\n",
        "  title = lega + \" \" + stagione\n",
        "  fig_text(\n",
        "    x = 0.12, y = 1,\n",
        "    s = title,\n",
        "    color = \"grey\",\n",
        "    size = 7\n",
        "  )\n",
        "\n",
        "  legaSemplice = lega.split()[1]\n",
        "  filename = \"./figures/Seconde_Palle_ogni_Duello_Serie\"+ legaSemplice +\"_\"+ stagione + \".png\"\n",
        "  plt.savefig(\n",
        "\t  filename,\n",
        "\t  dpi = 600,\n",
        "\t  facecolor = \"#EFE9E6\",\n",
        "\t  bbox_inches=\"tight\",\n",
        "    edgecolor=\"none\",\n",
        "\t  transparent = False\n",
        "  )"
      ],
      "metadata": {
        "cellView": "form",
        "id": "QE5GBaNxx7YD"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@title Grafico Seconde Palle 2021-22\n",
        "plotTeamSB(sb_2122_by_team, footTeams, Lega2122text, \"21_22\", Squadra2122text)"
      ],
      "metadata": {
        "cellView": "form",
        "id": "UxFX7BHfx7r9"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@title Grafico Seconde Palle 2020-21\n",
        "plotTeamSB(sb_2021_by_team, footTeams, Lega2021text, \"20_21\", Squadra2021text)"
      ],
      "metadata": {
        "cellView": "form",
        "id": "YDw8vTWUx77D"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@title Grafico Seconde Palle per Duello 2021-22\n",
        "plotTeamSB_per_Duel(sb2122_per_airduel, footTeams, Lega2122text, \"21_22\", Squadra2122text)"
      ],
      "metadata": {
        "cellView": "form",
        "id": "2l9KfTkDyI34"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@title Grafico Seconde Palle per Duello 2020-21\n",
        "plotTeamSB_per_Duel(sb2021_per_airduel, footTeams, Lega2021text, \"20_21\", Squadra2021text)"
      ],
      "metadata": {
        "cellView": "form",
        "id": "KdgHguT8yJJf"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@title (6) Shot Map: Logiche\n",
        "Lega2122 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Lega2122']\n",
        "Lega2122v = Lega2122.values[0]\n",
        "Lega2021 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Lega2021']\n",
        "Lega2021v = Lega2021.values[0]\n",
        "Stagione2122 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Stagione2122']\n",
        "Stagione2122v = Stagione2122.values[0]\n",
        "Stagione2021 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Stagione2021']\n",
        "Stagione2021v = Stagione2021.values[0]\n",
        "Team2122 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Team2122']\n",
        "Team2122v = Team2122.values[0]\n",
        "Team2021 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Team2021']\n",
        "Team2021v = Team2021.values[0]\n",
        "teams_2122 = teams_2122_A if (Lega2122v == Stagione21_22['Serie A'][0]) else teams_2122_B\n",
        "teams_2021 = teams_2021_A if (Lega2021v == Stagione20_21['Serie A'][0]) else teams_2021_B\n",
        "\n",
        "legakey_list = list(Lega.keys())\n",
        "legaval_list = list(Lega.values())\n",
        "position_2122 = legaval_list.index(Lega2122v)\n",
        "Lega2122text = legakey_list[position_2122]\n",
        "position_2021 = legaval_list.index(Lega2021v)\n",
        "Lega2021text = legakey_list[position_2021]\n",
        "\n",
        "if (Lega2122text=='Serie A'):\n",
        "  team2122_dict = teams_2122_A\n",
        "  ev_file1 = './events_serieA_2021_2022_v2.json'\n",
        "elif (Lega2122text == 'Serie B'): # B 21-22\n",
        "  team2122_dict = teams_2122_B\n",
        "  ev_file1 = './events_serieB_2021_2022_v2.json'\n",
        "Squadra2122text = team2122_dict[Team2122v]\n",
        "ev1 = open(ev_file1)\n",
        "events2122 = json.load(ev1)\n",
        "\n",
        "if (Lega2021text=='Serie A'):\n",
        "  team2021_dict = teams_2021_A\n",
        "  ev_file2 = './events_serieA_2020_2021_v2.json'\n",
        "elif (Lega2021text == 'Serie B'): # B 21-22\n",
        "  team2021_dict = teams_2021_B\n",
        "  ev_file2 = './events_serieB_2020_2021_v2.json'\n",
        "Squadra2021text = team2021_dict[Team2021v]\n",
        "ev2 = open(ev_file2)\n",
        "events2021 = json.load(ev2)\n",
        "\n",
        "def getPlayers(team_name, SeasonId):\n",
        "  players = []\n",
        "  for team in team_name.keys():\n",
        "      api_url = base_url.format(f'/teams/{team}/squad?seasonId={SeasonId}')\n",
        "      response = requests.get(api_url, auth=HTTPBasicAuth(username, token))\n",
        "      if response.ok:\n",
        "        player = response.json()['squad']\n",
        "        players+=player\n",
        "  players_df = pd.json_normalize(players)\n",
        "  players_df.drop_duplicates(inplace=True, ignore_index=True)\n",
        "  return players_df\n",
        "\n",
        "players_2122_df = getPlayers(teams_2122, Stagione2122v)\n",
        "players_2021_df = getPlayers(teams_2021, Stagione2021v)\n",
        "\n",
        "def shot(events, teamId, teamColor, teamName):\n",
        "  shots = []\n",
        "  for i,event in enumerate(events):\n",
        "    isGoal = 0\n",
        "    if (event['eventName'] == \"Shot\"):\n",
        "      if {'id': 101} in event['tags']:\n",
        "        isGoal = 1\n",
        "      teamIdInt = 0\n",
        "      teamColorInt = \"#808000\"\n",
        "      teamNameInt = \"Opponent\"\n",
        "      if (event['teamId']==teamId):\n",
        "        teamIdInt = teamId\n",
        "        teamColorInt = teamColor # \"#800080\"\n",
        "        teamNameInt = teamName # Squadra2122text\n",
        "      doc = {\n",
        "            'eventId' : event['id'],\n",
        "            'playerId' : event['playerId'],\n",
        "            'matchId' : event['matchId'],\n",
        "            'teamId' :  teamIdInt,\n",
        "            'teamName' : teamNameInt,\n",
        "            'teamColor' : teamColorInt,\n",
        "            'eventSec' : event['eventSec'],\n",
        "            'matchPeriod' : event['matchPeriod'] ,\n",
        "            'eventName' : \"Shot\",\n",
        "            'isGoal' : isGoal,\n",
        "            'x' :  event['positions'][0]['x'],\n",
        "            'y' :  event['positions'][0]['y']\n",
        "            }\n",
        "      shots.append(doc)\n",
        "  shots_df = pd.DataFrame(shots)\n",
        "  return shots_df\n",
        "\n",
        "def shot_overall(events):\n",
        "  shots = []\n",
        "  for i,event in enumerate(events):\n",
        "    isGoal = 0\n",
        "    if (event['eventName'] == \"Shot\"):\n",
        "      if {'id': 101} in event['tags']:\n",
        "        isGoal = 1\n",
        "      teamIdTMP = 0\n",
        "      teamColor = \"#0000ff\"\n",
        "      teamName = \"Overall\"\n",
        "      doc = {\n",
        "            'eventId' : event['id'],\n",
        "            'playerId' : event['playerId'],\n",
        "            'matchId' : event['matchId'],\n",
        "            'teamId' :  teamIdTMP,\n",
        "            'teamName' : 'Overall',\n",
        "            'teamColor' : teamColor,\n",
        "            'eventSec' : event['eventSec'],\n",
        "            'matchPeriod' : event['matchPeriod'] ,\n",
        "            'eventName' : \"Shot\",\n",
        "            'isGoal' : isGoal,\n",
        "            'x' :  event['positions'][0]['x'],\n",
        "            'y' :  event['positions'][0]['y']\n",
        "            }\n",
        "      shots.append(doc)\n",
        "  shots_df = pd.DataFrame(shots)\n",
        "  return shots_df\n",
        "\n",
        "shots_2122 = shot(events2122, Team2122v, \"#800080\", Squadra2122text)\n",
        "shots_2122.drop_duplicates(inplace=True)\n",
        "shots_2122.reset_index(drop=True, inplace=True)\n",
        "\n",
        "shots_2122_overall = shot_overall(events2122)\n",
        "shots_2122_overall.drop_duplicates(inplace=True)\n",
        "shots_2122_overall.reset_index(drop=True, inplace=True)\n",
        "\n",
        "shots_2021 = shot(events2021, Team2021v, \"#808000\", Squadra2021text)\n",
        "shots_2021.drop_duplicates(inplace=True)\n",
        "shots_2021.reset_index(drop=True, inplace=True)\n",
        "\n",
        "shots_2021_overall = shot_overall(events2021)\n",
        "shots_2021_overall.drop_duplicates(inplace=True)\n",
        "shots_2021_overall.reset_index(drop=True, inplace=True)\n",
        "\n",
        "shots_2122['fromX_'] = 100 - shots_2122['y']\n",
        "shots_2122['fromY_'] = shots_2122['x']\n",
        "shots_2021['fromX_'] = 100 - shots_2021['y']\n",
        "shots_2021['fromY_'] = shots_2021['x']\n",
        "\n",
        "shots_2122['fromX_'] = shots_2122['fromX_']*pitch_width/100\n",
        "shots_2122['fromY_'] = shots_2122['fromY_']*pitch_length/100\n",
        "shots_2021['fromX_'] = shots_2021['fromX_']*pitch_width/100\n",
        "shots_2021['fromY_'] = shots_2021['fromY_']*pitch_length/100\n",
        "\n",
        "shots_2122_overall['fromX_'] = 100 - shots_2122_overall['y']\n",
        "shots_2122_overall['fromY_'] = shots_2122_overall['x']\n",
        "shots_2021_overall['fromX_'] = 100 - shots_2021_overall['y']\n",
        "shots_2021_overall['fromY_'] = shots_2021_overall['x']\n",
        "\n",
        "shots_2122_overall['fromX_'] = shots_2122_overall['fromX_']*pitch_width/100\n",
        "shots_2122_overall['fromY_'] = shots_2122_overall['fromY_']*pitch_length/100\n",
        "shots_2021_overall['fromX_'] = shots_2021_overall['fromX_']*pitch_width/100\n",
        "shots_2021_overall['fromY_'] = shots_2021_overall['fromY_']*pitch_length/100\n",
        "\n",
        "colors = ['#efe9e6', '#e9e1dd', '#e3dad3', '#dcd3c9', '#d4ccc0', '#ccc6b7', '#c3bfae', '#bab9a6', '#b0b39e', '#a6ad96', '#9ba790',\n",
        "          '#90a18a', '#849b84', '#789680', '#6c907c', '#608a79', '#538476', '#467e74', '#387872', '#287271']\n",
        "\n",
        "soc_cm = LinearSegmentedColormap.from_list('SOC', colors, N=50)\n",
        "cm.register_cmap(name='SOC', cmap=soc_cm)\n",
        "pitch = VerticalPitch(pitch_type='uefa')\n",
        "\n",
        "zone_areas = {\n",
        "    'zone_1':{\n",
        "        'x_lower_bound': 54.16, 'x_upper_bound': 68,\n",
        "        'y_lower_bound': 88.5, 'y_upper_bound': 105,\n",
        "    },\n",
        "    'zone_2':{\n",
        "        'x_lower_bound': 0, 'x_upper_bound': 13.84,\n",
        "        'y_lower_bound': 88.5, 'y_upper_bound': 105,\n",
        "    },\n",
        "    'zone_3':{\n",
        "        'x_lower_bound': 54.16, 'x_upper_bound': 68,\n",
        "        'y_lower_bound': 20, 'y_upper_bound': 88.5,\n",
        "    },\n",
        "    'zone_4':{\n",
        "        'x_lower_bound': 0, 'x_upper_bound': 13.84,\n",
        "        'y_lower_bound': 20, 'y_upper_bound': 88.5,\n",
        "    },\n",
        "    'zone_5':{\n",
        "        'x_lower_bound': 13.84, 'x_upper_bound': 24.84,\n",
        "        'y_lower_bound': 88.5, 'y_upper_bound': 105,\n",
        "    },\n",
        "    'zone_6':{\n",
        "        'x_lower_bound': 43.16, 'x_upper_bound': 54.16,\n",
        "        'y_lower_bound': 88.5, 'y_upper_bound': 105,\n",
        "    },\n",
        "    'zone_7':{\n",
        "        'x_lower_bound': 24.84, 'x_upper_bound': 43.16,\n",
        "        'y_lower_bound': 88.5, 'y_upper_bound': 99.5,\n",
        "    },\n",
        "    'zone_8':{\n",
        "        'x_lower_bound': 24.84, 'x_upper_bound': 43.16,\n",
        "        'y_lower_bound': 99.5, 'y_upper_bound': 105,\n",
        "    },\n",
        "    'zone_9':{\n",
        "        'x_lower_bound': 13.84, 'x_upper_bound': 24.84,\n",
        "        'y_lower_bound': 75, 'y_upper_bound': 88.5,\n",
        "    },\n",
        "    'zone_10':{\n",
        "        'x_lower_bound': 43.16, 'x_upper_bound': 54.16,\n",
        "        'y_lower_bound': 75, 'y_upper_bound': 88.5,\n",
        "    },\n",
        "    'zone_11':{\n",
        "        'x_lower_bound': 24.84, 'x_upper_bound': 43.16,\n",
        "        'y_lower_bound': 75, 'y_upper_bound': 88.5,\n",
        "    },\n",
        "    'zone_12':{\n",
        "        'x_lower_bound': 13.84, 'x_upper_bound': 54.16,\n",
        "        'y_lower_bound': 20, 'y_upper_bound': 75,\n",
        "    }\n",
        "}\n",
        "\n",
        "def assign_shot_zone(x,y):\n",
        "  '''\n",
        "  This function returns the zone based on the x & y coordinates of the shot\n",
        "  taken.\n",
        "  Args:\n",
        "    - x (float): the x position of the shot based on a vertical grid.\n",
        "    - y (float): the y position of the shot based on a vertical grid.\n",
        "  '''\n",
        "  global zone_areas\n",
        "\n",
        "  # Conditions\n",
        "  for zone in zone_areas:\n",
        "    if (x >= zone_areas[zone]['x_lower_bound']) & (x <= zone_areas[zone]['x_upper_bound']):\n",
        "      if (y >= zone_areas[zone]['y_lower_bound']) & (y <= zone_areas[zone]['y_upper_bound']):\n",
        "        return zone\n",
        "\n",
        "shots_2122['zone_area'] = [assign_shot_zone(x,y) for x,y in zip(shots_2122['fromX_'], shots_2122['fromY_'])]\n",
        "shots_2021['zone_area'] = [assign_shot_zone(x,y) for x,y in zip(shots_2021['fromX_'], shots_2021['fromY_'])]\n",
        "\n",
        "data2122 = shots_2122.groupby(['teamId', 'teamName', 'teamColor', 'zone_area']).apply(lambda x: x.shape[0]).reset_index()\n",
        "data2122.rename(columns={0:'num_shots'}, inplace=True)\n",
        "total_shots2122 = data2122.groupby(['teamId'])['num_shots'].sum().reset_index()\n",
        "total_shots2122.rename(columns={'num_shots':'total_shots'}, inplace=True)\n",
        "data2122 = pd.merge(data2122, total_shots2122, on='teamId', how='left')\n",
        "data2122['pct_shots'] = data2122['num_shots']/data2122['total_shots']\n",
        "\n",
        "data2021 = shots_2021.groupby(['teamId', 'teamName', 'teamColor', 'zone_area']).apply(lambda x: x.shape[0]).reset_index()\n",
        "data2021.rename(columns={0:'num_shots'}, inplace=True)\n",
        "total_shots2021 = data2021.groupby(['teamId'])['num_shots'].sum().reset_index()\n",
        "total_shots2021.rename(columns={'num_shots':'total_shots'}, inplace=True)\n",
        "data2021 = pd.merge(data2021, total_shots2021, on='teamId', how='left')\n",
        "data2021['pct_shots'] = data2021['num_shots']/data2021['total_shots']\n",
        "\n",
        "data=data2122\n",
        "def plot_shot_location(ax, fig, teamId, df=data):\n",
        "  '''\n",
        "  This functions plots the shot location grid for a team.\n",
        "  '''\n",
        "  global zone_areas\n",
        "  data = df.copy()\n",
        "\n",
        "  pitch = VerticalPitch(\n",
        "        pitch_type='uefa',\n",
        "        half=True,\n",
        "        goal_type='box',\n",
        "        linewidth=1.25,\n",
        "        line_color='black',\n",
        "        spot_scale=0.0\n",
        "  )\n",
        "  pitch.draw(ax = ax)\n",
        "\n",
        "  plot_df = data[data['teamId'] == teamId]\n",
        "  max_value = plot_df['pct_shots'].max()\n",
        "  team_name = plot_df['teamName'].iloc[0]\n",
        "  team_color = plot_df['teamColor'].iloc[0]\n",
        "  team_id = plot_df['teamId'].iloc[0]\n",
        "  total_shots = plot_df['total_shots'].iloc[0]\n",
        "\n",
        "  # Grids\n",
        "  ax.plot([13.84, 13.84], [40, 88.5], ls='--', color='black', lw=1)\n",
        "  ax.plot([54.16, 54.16], [40, 88.5], ls='--', color='black', lw=1)\n",
        "  ax.plot([24.84, 24.84], [99.5, 88.5], ls='--', color='black', lw=1)\n",
        "  ax.plot([43.16, 43.16], [99.5, 88.5], ls='--', color='black', lw=1)\n",
        "\n",
        "  ax.plot([68, 54.16], [88.5,88.5], ls='--', color='black', lw=1)\n",
        "  ax.plot([0.5, 13.84], [88.5,88.5], ls='--', color='black', lw=1)\n",
        "  ax.plot([13.84, 54.16], [75,75], ls='--', color='black', lw=1)\n",
        "\n",
        "  for zone in plot_df['zone_area']:\n",
        "    shot_pct = plot_df[plot_df['zone_area'] == zone]['pct_shots'].iloc[0]\n",
        "    x_lim = [zone_areas[zone]['x_lower_bound'], zone_areas[zone]['x_upper_bound']]\n",
        "    y1 = zone_areas[zone]['y_lower_bound']\n",
        "    y2 = zone_areas[zone]['y_upper_bound']\n",
        "    ax.fill_between(\n",
        "            x=x_lim, \n",
        "            y1=y1, y2=y2, \n",
        "            color=team_color, alpha=(shot_pct/max_value),\n",
        "            zorder=0, ec='None')\n",
        "    if shot_pct > 0.05:\n",
        "      x_pos = x_lim[0] + abs(x_lim[0] - x_lim[1])/2\n",
        "      if y1 == 20:\n",
        "        y1 = 58\n",
        "      y_pos = y1 + abs(y1 - y2)/2\n",
        "      text_ = ax.annotate(\n",
        "                xy=(x_pos, y_pos),\n",
        "                text=f'{shot_pct:.0%}',\n",
        "                ha='center',\n",
        "                va='center',\n",
        "                color='black',\n",
        "                weight='bold',\n",
        "                size=7\n",
        "      )\n",
        "      text_.set_path_effects([path_effects.Stroke(linewidth=1.5, foreground='white'), path_effects.Normal()]            )\n",
        "  return ax"
      ],
      "metadata": {
        "cellView": "form",
        "id": "M4lqT6wGyy0x"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@title Grafico Shot Map 2021-22\n",
        "order_teams = total_shots2122.sort_values(by='total_shots', ascending=True)\n",
        "layout_ = '''\n",
        "    A\n",
        "'''\n",
        "\n",
        "height_ratios = [1]\n",
        "\n",
        "fig = plt.figure(figsize=(10,12), dpi=300)\n",
        "axs = fig.subplot_mosaic(\n",
        "    layout_, \n",
        "    gridspec_kw={\n",
        "        'height_ratios':height_ratios,\n",
        "    }\n",
        ")\n",
        "\n",
        "counter = 0\n",
        "for k, ax in axs.items():\n",
        "    teamId = order_teams['teamId'].iloc[counter]\n",
        "    plot_shot_location(ax, fig, teamId=teamId, df=data2122)\n",
        "    counter += 1\n",
        "    \n",
        "#plot_shot_location(ax, fig, teamId=teamId)\n",
        "title = \"Aree di tiro \" + Squadra2122text + \" - Serie A 2021-22\"\n",
        "fig_text(\n",
        "    x = 0.12, y = .81,\n",
        "    s = title,\n",
        "    va = \"bottom\", ha = \"left\",\n",
        "    fontsize = 18, color = \"black\", font = \"DM Sans\", weight = \"bold\"\n",
        ")\n",
        "fig_text(\n",
        "\tx = 0.12, y = .77,\n",
        "    s = \"Percentuali di tiri (non rigori). <Solo zone con almeno 5% sono indicate.>\",\n",
        "    highlight_textprops=[{\"weight\": \"bold\", \"color\": \"black\"}],\n",
        "\tva = \"bottom\", ha = \"left\",\n",
        "\tfontsize = 12, color = \"#4E616C\", font = \"Karla\"\n",
        ")\n",
        "\n",
        "filename = \"figures/percentuali_tiro_a_zone_seriea_2021_22_\" + Squadra2122text + \".png\"\n",
        "plt.savefig(\n",
        "\tfilename,\n",
        "\tdpi = 600,\n",
        "\tfacecolor = \"#EFE9E6\",\n",
        "\tbbox_inches=\"tight\",\n",
        "    edgecolor=\"none\",\n",
        "\ttransparent = False\n",
        ")\n"
      ],
      "metadata": {
        "cellView": "form",
        "id": "x21qnAjay5EG"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@title Grafico Shot Map 2020-21\n",
        "order_teams = total_shots2021.sort_values(by='total_shots', ascending=True)\n",
        "layout_ = '''\n",
        "    A\n",
        "'''\n",
        "\n",
        "height_ratios = [1]\n",
        "\n",
        "fig = plt.figure(figsize=(10,12), dpi=300)\n",
        "axs = fig.subplot_mosaic(\n",
        "    layout_, \n",
        "    gridspec_kw={\n",
        "        'height_ratios':height_ratios,\n",
        "    }\n",
        ")\n",
        "\n",
        "counter = 0\n",
        "for k, ax in axs.items():\n",
        "    teamId = order_teams['teamId'].iloc[counter]\n",
        "    plot_shot_location(ax, fig, teamId=teamId, df=data2021)\n",
        "    counter += 1\n",
        "    \n",
        "#plot_shot_location(ax, fig, teamId=teamId)\n",
        "title = \"Aree di tiro \" + Squadra2021text + \" - Serie A 2020-21\"\n",
        "fig_text(\n",
        "    x = 0.12, y = .81,\n",
        "    s = title,\n",
        "    va = \"bottom\", ha = \"left\",\n",
        "    fontsize = 18, color = \"black\", font = \"DM Sans\", weight = \"bold\"\n",
        ")\n",
        "fig_text(\n",
        "\tx = 0.12, y = .77,\n",
        "    s = \"Percentuali di tiri (non rigori). <Solo zone con almeno 5% sono indicate.>\",\n",
        "    highlight_textprops=[{\"weight\": \"bold\", \"color\": \"black\"}],\n",
        "\tva = \"bottom\", ha = \"left\",\n",
        "\tfontsize = 12, color = \"#4E616C\", font = \"Karla\"\n",
        ")\n",
        "\n",
        "filename = \"figures/percentuali_tiro_a_zone_seriea_2020_21_\" + Squadra2021text + \".png\"\n",
        "plt.savefig(\n",
        "\tfilename,\n",
        "\tdpi = 600,\n",
        "\tfacecolor = \"#EFE9E6\",\n",
        "\tbbox_inches=\"tight\",\n",
        "    edgecolor=\"none\",\n",
        "\ttransparent = False\n",
        ")"
      ],
      "metadata": {
        "cellView": "form",
        "id": "UVuurv_LzFOJ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@title (7) Rigoristi: Logiche\n",
        "Lega2122 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Lega2122']\n",
        "Lega2122v = Lega2122.values[0]\n",
        "Lega2021 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Lega2021']\n",
        "Lega2021v = Lega2021.values[0]\n",
        "Stagione2122 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Stagione2122']\n",
        "Stagione2122v = Stagione2122.values[0]\n",
        "Stagione2021 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Stagione2021']\n",
        "Stagione2021v = Stagione2021.values[0]\n",
        "Team2122 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Team2122']\n",
        "Team2122v = Team2122.values[0]\n",
        "Team2021 = Tecnico_df.loc[Tecnico_df['Tecnico']==Tecnico, 'Team2021']\n",
        "Team2021v = Team2021.values[0]\n",
        "teams_2122 = teams_2122_A if (Lega2122v == Stagione21_22['Serie A'][0]) else teams_2122_B\n",
        "teams_2021 = teams_2021_A if (Lega2021v == Stagione20_21['Serie A'][0]) else teams_2021_B\n",
        "\n",
        "legakey_list = list(Lega.keys())\n",
        "legaval_list = list(Lega.values())\n",
        "position_2122 = legaval_list.index(Lega2122v)\n",
        "Lega2122text = legakey_list[position_2122]\n",
        "position_2021 = legaval_list.index(Lega2021v)\n",
        "Lega2021text = legakey_list[position_2021]\n",
        "\n",
        "if (Lega2122text=='Serie A'):\n",
        "  team2122_dict = teams_2122_A\n",
        "elif (Lega2122text == 'Serie B'): # B 21-22\n",
        "  team2122_dict = teams_2122_B\n",
        "Squadra2122text = team2122_dict[Team2122v]\n",
        "if (Lega2021text=='Serie A'):\n",
        "  team2021_dict = teams_2021_A\n",
        "elif (Lega2021text == 'Serie B'): # B 21-22\n",
        "  team2021_dict = teams_2021_B\n",
        "Squadra2021text = team2021_dict[Team2021v]\n",
        "\n",
        "def getPlayers(team_name, SeasonId):\n",
        "  players = []\n",
        "  for team in team_name.keys():\n",
        "      api_url = base_url.format(f'/teams/{team}/squad?seasonId={SeasonId}')\n",
        "      response = requests.get(api_url, auth=HTTPBasicAuth(username, token))\n",
        "      if response.ok:\n",
        "        player = response.json()['squad']\n",
        "        players+=player\n",
        "  players_df = pd.json_normalize(players)\n",
        "  players_df.drop_duplicates(inplace=True, ignore_index=True)\n",
        "  return players_df\n",
        "\n",
        "players_2122_df = getPlayers(teams_2122, Stagione2122v)\n",
        "players_2021_df = getPlayers(teams_2021, Stagione2021v)\n",
        "\n",
        "# Opening stored JSON file: Wyscout API\n",
        "if (Lega2122text == 'Serie A'): # A 21-22\n",
        "    ev_file1 = './events_serieA_2021_2022_v2.json'\n",
        "elif (Lega2122text == 'Serie B'): # B 21-22\n",
        "    ev_file1 = './events_serieB_2021_2022_v2.json'\n",
        "ev1 = open(ev_file1)\n",
        "events2122 = json.load(ev1)\n",
        "\n",
        "if (Lega2021text == 'Serie A'): # A 20-21\n",
        "    ev_file2 = './events_serieA_2020_2021_v2.json'\n",
        "elif (Lega2021text == 'Serie B'): # B 20-21\n",
        "    ev_file2 = './events_serieB_2020_2021_v2.json'\n",
        "ev2 = open(ev_file2)\n",
        "events2021 = json.load(ev2)\n",
        "\n",
        "def penalty(events):\n",
        "  penalties = []\n",
        "  for i,event in enumerate(events):\n",
        "    isGoal = 0\n",
        "    if event['subEventName'] == \"Penalty\":\n",
        "      if {'id': 101} in event['tags']:\n",
        "        isGoal = 1\n",
        "      if {'id': 1201} in event['tags']:\n",
        "        goalZone = 'gb'\n",
        "      elif {'id': 1202} in event['tags']:\n",
        "        goalZone = 'gbr'\n",
        "      elif {'id': 1203} in event['tags']:\n",
        "        goalZone = 'gc'\n",
        "      elif {'id': 1204} in event['tags']:\n",
        "        goalZone = 'gl'\n",
        "      elif {'id': 1205} in event['tags']:\n",
        "        goalZone = 'glb'\n",
        "      elif {'id': 1206} in event['tags']:\n",
        "        goalZone = 'gr'\n",
        "      elif {'id': 1207} in event['tags']:\n",
        "        goalZone = 'gt'\n",
        "      elif {'id': 1208} in event['tags']:\n",
        "        goalZone = 'gtl'\n",
        "      elif {'id': 1209} in event['tags']:\n",
        "        goalZone = 'gtr'\n",
        "      else: # default is gc\n",
        "        goalZone = 'NOTPRESENT'\n",
        "      if (goalZone != \"NOTPRESENT\") or ((goalZone == \"NOTPRESENT\") and (isGoal == 1)):\n",
        "        doc = {\n",
        "            'eventId' : event['id'],\n",
        "            'playerId' : event['playerId'],\n",
        "            'matchId' : event['matchId'],\n",
        "            'teamId' :  event['teamId'],\n",
        "            'eventSec' : event['eventSec'],\n",
        "            'matchPeriod' : event['matchPeriod'] ,\n",
        "            'eventName' : \"Shot\",\n",
        "            'subEventName' : \"Penalty\",\n",
        "            'isGoal' : isGoal,\n",
        "            'goalZone' : goalZone\n",
        "            }\n",
        "      penalties.append(doc)\n",
        "  penalties_df = pd.DataFrame(penalties)\n",
        "  return penalties_df\n",
        "\n",
        "penalties_2122 = penalty(events2122)\n",
        "penalties_2122.drop_duplicates(inplace=True)\n",
        "penalties_2122.reset_index(drop=True, inplace=True)\n",
        "\n",
        "penalties_2021 = penalty(events2021)\n",
        "penalties_2021.drop_duplicates(inplace=True)\n",
        "penalties_2021.reset_index(drop=True, inplace=True)\n",
        "\n",
        "def ret_bins_x(pos):\n",
        "    \"\"\"\n",
        "    glb = 0 0, gl = 0 1, gtl = 0 2, gb = 1 0\n",
        "    gc = 1 1, gt = 1 2, gbr = 2 0, gr = 2 1, gtr = 2 2\n",
        "    \"\"\"\n",
        "    if (pos == \"glb\"):\n",
        "        return 0\n",
        "    elif (pos == \"gl\"):\n",
        "        return 0\n",
        "    elif (pos == \"gtl\"):\n",
        "        return 0\n",
        "    elif (pos == \"gb\"):\n",
        "        return 1\n",
        "    elif (pos == \"gc\"):\n",
        "        return 1\n",
        "    elif (pos == \"gt\"):\n",
        "        return 1\n",
        "    elif (pos == \"gbr\"):\n",
        "        return 2\n",
        "    elif (pos == \"gr\"):\n",
        "        return 2\n",
        "    elif (pos == \"gtr\"):\n",
        "        return 2\n",
        "\n",
        "def ret_bins_y(pos):\n",
        "    \"\"\"\n",
        "    glb = 0 0, gl = 0 1, gtl = 0 2, gb = 1 0\n",
        "    gc = 1 1, gt = 1 2, gbr = 2 0, gr = 2 1, gtr = 2 2\n",
        "    \"\"\"\n",
        "    if (pos == \"glb\"):\n",
        "        return 0\n",
        "    elif (pos == \"gl\"):\n",
        "        return 1\n",
        "    elif (pos == \"gtl\"):\n",
        "        return 2\n",
        "    elif (pos == \"gb\"):\n",
        "        return 0\n",
        "    elif (pos == \"gc\"):\n",
        "        return 1\n",
        "    elif (pos == \"gt\"):\n",
        "        return 2\n",
        "    elif (pos == \"gbr\"):\n",
        "        return 0\n",
        "    elif (pos == \"gr\"):\n",
        "        return 1\n",
        "    elif (pos == \"gtr\"):\n",
        "        return 2\n",
        "\n",
        "penalties_2122['bins_x'] = penalties_2122['goalZone'].apply(ret_bins_x)\n",
        "penalties_2122['bins_y'] = penalties_2122['goalZone'].apply(ret_bins_y)\n",
        "penalties_2021['bins_x'] = penalties_2021['goalZone'].apply(ret_bins_x)\n",
        "penalties_2021['bins_y'] = penalties_2021['goalZone'].apply(ret_bins_y)\n",
        "\n",
        "def shot_map_bins(playerId, dataSet, grid_x = 3, grid_y = 3):\n",
        "  '''\n",
        "  This function takes a playerId and returns the list of \n",
        "  percentages (in order) to map the values into our shot map plot.\n",
        "\n",
        "  Args:\n",
        "    playerId (int): the playerId.\n",
        "    grid_x (int): the number of divisions to be made to the goal aross the x-axis. Must be an even number.\n",
        "    grid_y (int): the number of divisions to be made to the goal aross the y-axis. Must be an even number.\n",
        "  '''\n",
        "  width = 21\n",
        "  height = 6\n",
        "  increment_x = int(width / grid_x)\n",
        "  increment_y = int(height / grid_y)\n",
        "  # -- We add an auxiliary column to help us count the number of shots.\n",
        "  dataSet['shot_aux'] = 1\n",
        "  data_bins = (\n",
        "      dataSet[['playerId','bins_x','bins_y','shot_aux']].\n",
        "      groupby(['bins_x','bins_y','playerId'])\n",
        "      ['shot_aux'].sum().\n",
        "      reset_index()\n",
        "  )\n",
        "\n",
        "  # -- Count all shots on target.\n",
        "  total_shots = dataSet.groupby(['playerId'])['shot_aux'].sum().reset_index()\n",
        "  total_shots.columns = ['playerId','total']\n",
        "  # -- Merge it back & calculate the percentage\n",
        "  data_bins = pd.merge(data_bins,total_shots, how = 'left', on = 'playerId')\n",
        "  data_bins['shot_pct'] = data_bins['shot_aux']/data_bins['total']\n",
        "  # -- Order data_bins first by x and then by y\n",
        "  player_bins = data_bins[data_bins['playerId'] == playerId].reset_index()\n",
        "  player_bins = player_bins.sort_values(by = ['bins_x', 'bins_y'])\n",
        "  bins_list = []\n",
        "  for x in range(grid_x):\n",
        "    for y in range(grid_y):\n",
        "      if (player_bins[(player_bins.bins_x==x) & (player_bins.bins_y==y)].shape[0] == 0):\n",
        "        bins_list.append(0)\n",
        "      else:\n",
        "        bins_list.append(list(player_bins[(player_bins.bins_x==x) & (player_bins.bins_y==y)]['shot_pct'])[0])\n",
        "  sum_goal = player_bins['shot_aux'].sum()\n",
        "  return bins_list, sum_goal\n",
        "\n",
        "def shot_map_plot(playerId, players, dataSet, ax, grid_x = 3, grid_y = 3, main_color = '#005377'):\n",
        "  '''\n",
        "  This function takes a playerId and axes to plot a shot map.\n",
        "\n",
        "  Args:\n",
        "    playerId (int): the playerId.\n",
        "    ax (obj): a Matplotlib axes.\n",
        "    grid_x (int): the number of divisions to be made to the goal aross the x-axis. Must be an even number.\n",
        "    grid_y (int): the number of divisions to be made to the goal aross the y-axis. Must be an even number.\n",
        "    main_color (str): a hex color code for the heat-map.\n",
        "  '''\n",
        "  ax.axis('equal')\n",
        "\n",
        "  # -- The size of the goal\n",
        "  width = 21\n",
        "  height = 6\n",
        "  # -- The left & right post\n",
        "  ax.plot([0,0],[0,height], color = 'black', lw = 2)\n",
        "  ax.plot([width,width],[0,height], color = 'black', lw = 2)\n",
        "  # -- The top post\n",
        "  ax.plot([0,width],[height,height], color = 'black', lw = 2)\n",
        "  # -- The data\n",
        "  data, total_shots = shot_map_bins(playerId, dataSet, grid_x, grid_y)\n",
        "  player_name = players[players['wyId'] == playerId]['shortName'].iloc[0] # Add the name\n",
        "  max_data = max(data)\n",
        "  scaled_data = [x/max_data for x in data]\n",
        "  # -- The Grid\n",
        "  increment_x = int(width / grid_x)\n",
        "  increment_y = int(height / grid_y)\n",
        "  i = 0 \n",
        "  x = 0\n",
        "  while x < width:\n",
        "    for y in range(0, height, increment_y):\n",
        "      rect = patches.Rectangle(\n",
        "              (x, y),  # bottom left starting position (x,y)\n",
        "              increment_x,  # width\n",
        "              increment_y,  # height\n",
        "              ec= main_color,\n",
        "              fc= main_color,\n",
        "              alpha = scaled_data[i], # <---- the transparency\n",
        "              zorder=-1\n",
        "            )\n",
        "      ax.add_patch(rect)\n",
        "\n",
        "      # -- Anotate the counter (i) and choose color depending on value\n",
        "      if scaled_data[i] < .5:\n",
        "          color_text = 'black'\n",
        "          fore_color ='white'\n",
        "      else:\n",
        "          color_text = 'white'\n",
        "          fore_color = 'black'\n",
        "      label_ = ax.text(\n",
        "                x = x + increment_x/2, y = y + increment_y/2,\n",
        "                s = f'{data[i]:.1%}', # <----- the data label\n",
        "                color = color_text,\n",
        "                va = 'center',\n",
        "                ha = 'center',\n",
        "                size = 5\n",
        "              )\n",
        "      # Set path effects to ensure readability\n",
        "      label_.set_path_effects([Stroke(linewidth=1, foreground=fore_color), Normal()])\n",
        "      i += 1\n",
        "\n",
        "    # -- Once we've placed the top & bottom rectangles we move right.\n",
        "    x = x + increment_x\n",
        "\n",
        "  # -- Add the player's name\n",
        "  player_ = ax.text(\n",
        "            x = 0, y = height + height/5,\n",
        "            s = f'{player_name} - {total_shots}',\n",
        "            color = 'black',\n",
        "            va = 'center',\n",
        "            ha = 'left',\n",
        "            size = 7\n",
        "          )\n",
        "  # -- Set axes limits and remove ticks\n",
        "  ax.set_xlim(-2,width + 2)\n",
        "  ax.set_ylim(0,height + 2)\n",
        "  ax.set_axis_off()\n",
        "  # -- Draw the lower border\n",
        "  ax.plot([-2,width + 2],[0,0], color = 'black', marker = 'None', lw = 2, zorder = 3)\n",
        "\n",
        "key2122_list = list(teams_2122.keys())\n",
        "val2122_list = list(teams_2122.values())\n",
        "position_2122 = val2122_list.index(Squadra2122text)\n",
        "teamId_2122 = key2122_list[position_2122]\n",
        "key2021_list = list(teams_2021.keys())\n",
        "val2021_list = list(teams_2021.values())\n",
        "position_2021 = val2021_list.index(Squadra2021text)\n",
        "teamId_2021 = key2021_list[position_2021]\n",
        "\n",
        "penalties_2122_team1 = penalties_2122[penalties_2122.teamId == teamId_2122]\n",
        "penalties_2122_team1_tmp = penalties_2122_team1.groupby('playerId')['eventId'].count()\n",
        "penalties_2122_team1_s = penalties_2122_team1_tmp.sort_values(ascending=False)\n",
        "penalties_2122_team1_list = penalties_2122_team1_s.index.to_list()\n",
        "if (len(penalties_2122_team1_list)>3):\n",
        "  top3_penalties_2122_team1_list = penalties_2122_team1_list[0:3]\n",
        "else:\n",
        "  top3_penalties_2122_team1_list = penalties_2122_team1_list\n",
        "\n",
        "penalties_2021_team2 = penalties_2021[penalties_2021.teamId == teamId_2021]\n",
        "penalties_2021_team2_tmp = penalties_2021_team2.groupby('playerId')['eventId'].count()\n",
        "penalties_2021_team2_s = penalties_2021_team2_tmp.sort_values(ascending=False)\n",
        "penalties_2021_team2_list = penalties_2021_team2_s.index.to_list()\n",
        "if (len(penalties_2021_team2_list)>3):\n",
        "  top3_penalties_2021_team2_list = penalties_2021_team2_list[0:3]\n",
        "else:\n",
        "  top3_penalties_2021_team2_list = penalties_2021_team2_list\n",
        "\n",
        "def shotMapPlotFinal(top3_list, players, dataSet, lega, stagione, squadra):\n",
        "  fig = plt.figure(figsize=(6, 3), dpi = 200, facecolor = '#EFE9E6')\n",
        "  playerListN = int(len(top3_list))\n",
        "  ncol = playerListN if (playerListN > 3) else 3\n",
        "  gspec = gridspec.GridSpec(\n",
        "    ncols=ncol, nrows=1, hspace = 0.05, wspace = 0.15\n",
        "  )\n",
        "  ax1 = plt.subplot(gspec[0, 0],facecolor = '#EFE9E6')\n",
        "  if (playerListN > 1):\n",
        "    ax2 = plt.subplot(gspec[0, 1],facecolor = '#EFE9E6')\n",
        "  if (playerListN > 2):\n",
        "    ax3 = plt.subplot(gspec[0, 2],facecolor = '#EFE9E6')\n",
        "\n",
        "  shot_map_plot(top3_list[0], players, dataSet, ax1, grid_x=3, grid_y=3, main_color = '#000000')\n",
        "  if (playerListN > 1):\n",
        "    shot_map_plot(top3_list[1], players, dataSet, ax2, grid_x=3, grid_y=3, main_color = '#0072CE')\n",
        "  if (playerListN > 2):\n",
        "    shot_map_plot(top3_list[2], players, dataSet, ax3, grid_x=3, grid_y=3, main_color = '#901818')\n",
        "\n",
        "  fig_text(\n",
        "    x = 0.12, y = 1.1,\n",
        "    s = \"Shot Map dei rigori tirati nello specchio (primi 3 rigoristi)\",\n",
        "    weight = \"bold\",\n",
        "    size = 10\n",
        "    )\n",
        "  title = lega + \" \" + stagione + \" \" + squadra\n",
        "  fig_text(\n",
        "    x = 0.12, y = 1,\n",
        "    s = title,\n",
        "    color = \"grey\",\n",
        "    size = 7\n",
        "  )\n",
        "\n",
        "  legaSemplice = lega.split()[1]\n",
        "  filename = \"./figures/Rigoristi_Serie\"+ legaSemplice +\"_\"+ stagione +\"_\"+ squadra + \".png\"\n",
        "  plt.savefig(\n",
        "\t  filename,\n",
        "\t  dpi = 600,\n",
        "\t  facecolor = \"#EFE9E6\",\n",
        "\t  bbox_inches=\"tight\",\n",
        "    edgecolor=\"none\",\n",
        "\t  transparent = False\n",
        "  )"
      ],
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        "id": "xT_EDTB6yWtW"
      },
      "execution_count": null,
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    },
    {
      "cell_type": "code",
      "source": [
        "#@title Grafico Rigori 2021-22\n",
        "shotMapPlotFinal(top3_penalties_2122_team1_list, players_2122_df, penalties_2122, Lega2122text, \"21_22\", Squadra2122text)"
      ],
      "metadata": {
        "cellView": "form",
        "id": "0InSkgavyhKm"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@title Grafico Rigori 2020-21\n",
        "shotMapPlotFinal(top3_penalties_2021_team2_list, players_2021_df, penalties_2021, Lega2021text, \"20_21\", Squadra2021text)"
      ],
      "metadata": {
        "cellView": "form",
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      "execution_count": null,
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    }
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