{
  "id": 390242,
  "title": "train_landmark_files/[participant_id]/[sequence_id].parquet ",
  "url": "/competitions/asl-signs/discussion/390242",
  "author_name": "",
  "post_date": "2023-02-24T18:49:57.207918100Z",
  "votes": 1,
  "comment_count": 4,
  "views": 0,
  "content": "<p>Hello every one ,</p>\n<p>I still really don't understand the contenant of the  train_landmark_files/[participant_id]/[sequence_id].parquet files ,or  how can I read them , can some one help me understand   please .Thank you in advance </p>",
  "messages": [
    {
      "id": "2158288",
      "postDate": "02/24/2023 18:49:57",
      "content": "<p>Hello every one ,</p>\n<p>I still really don't understand the contenant of the  train_landmark_files/[participant_id]/[sequence_id].parquet files ,or  how can I read them , can some one help me understand   please .Thank you in advance </p>",
      "rawMarkdown": "Hello every one ,\n\nI still really don't understand the contenant of the  train_landmark_files/[participant_id]/[sequence_id].parquet files ,or  how can I read them , can some one help me understand   please .Thank you in advance",
      "votes": null
    },
    {
      "id": "2158495",
      "postDate": "02/24/2023 21:50:49",
      "content": "<p>Hi Fatihaben,</p>\n<p>Read Rob Mulla code it's a perfect tutorial with parquet:   It starts above input 8.</p>\n<p>\"Parquet Landmark Data. Each Parquet file is in the path:<br>\ntrain_landmark_files/[participant_id]/[sequence_id].parquet<br>\nThe parquet's associated sign can be found in train.csv </p>\n<p><a href=\"https://www.kaggle.com/code/robikscube/sign-language-recognition-eda-twitch-stream\" target=\"_blank\">https://www.kaggle.com/code/robikscube/sign-language-recognition-eda-twitch-stream</a></p>",
      "rawMarkdown": "Hi Fatihaben,\n\nRead Rob Mulla code it's a perfect tutorial with parquet:   It starts above input 8.\n\n\"Parquet Landmark Data. Each Parquet file is in the path:\ntrain_landmark_files/[participant_id]/[sequence_id].parquet\nThe parquet's associated sign can be found in train.csv \n\nhttps://www.kaggle.com/code/robikscube/sign-language-recognition-eda-twitch-stream",
      "votes": null
    },
    {
      "id": "2159172",
      "postDate": "02/25/2023 14:09:01",
      "content": "<p>Hi Marília Prata ,</p>\n<p>Thanks for your answer , I will check it.</p>",
      "rawMarkdown": "Hi Marília Prata ,\n\nThanks for your answer , I will check it.",
      "votes": null
    },
    {
      "id": "2159832",
      "postDate": "02/26/2023 04:52:55",
      "content": "<p>import pandas as pd<br>\ndf = pd.read_parquet(\"[filename].parquet\", engine='pyarrow')<br>\nfor i in range (len(df)):<br>\n   print(df[[i]])</p>",
      "rawMarkdown": "import pandas as pd\ndf = pd.read_parquet(\"[filename].parquet\", engine='pyarrow')\nfor i in range (len(df)):\n   print(df[[i]])",
      "votes": null
    },
    {
      "id": "2159986",
      "postDate": "02/26/2023 08:47:55",
      "content": "<p>I believe this is the output from another model --&gt; <a href=\"https://google.github.io/mediapipe/solutions/holistic\" target=\"_blank\">https://google.github.io/mediapipe/solutions/holistic</a></p>\n<p>this link here --&gt; <a href=\"https://www.kaggle.com/code/danielpeshkov/animated-data-visualization\" target=\"_blank\">https://www.kaggle.com/code/danielpeshkov/animated-data-visualization</a></p>\n<p>The developer plots the data shows a really good visual representation of the data. thank you <a href=\"https://www.kaggle.com/danielpeshkov\" target=\"_blank\">@danielpeshkov</a> </p>\n<p>Video below is the output from the script</p>",
      "rawMarkdown": "I believe this is the output from another model --> https://google.github.io/mediapipe/solutions/holistic\n\nthis link here --> https://www.kaggle.com/code/danielpeshkov/animated-data-visualization\n\nThe developer plots the data shows a really good visual representation of the data. thank you @danielpeshkov \n\nVideo below is the output from the script",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2158495,
      "author_name": "mpwolke",
      "author_url": "",
      "post_date": "02/24/2023 21:50:49",
      "content": "<p>Hi Fatihaben,</p>\n<p>Read Rob Mulla code it's a perfect tutorial with parquet:   It starts above input 8.</p>\n<p>\"Parquet Landmark Data. Each Parquet file is in the path:<br>\ntrain_landmark_files/[participant_id]/[sequence_id].parquet<br>\nThe parquet's associated sign can be found in train.csv </p>\n<p><a href=\"https://www.kaggle.com/code/robikscube/sign-language-recognition-eda-twitch-stream\" target=\"_blank\">https://www.kaggle.com/code/robikscube/sign-language-recognition-eda-twitch-stream</a></p>",
      "votes": null,
      "replies": [
        {
          "id": 2159172,
          "author_name": "fatihaben",
          "author_url": "",
          "post_date": "02/25/2023 14:09:01",
          "content": "<p>Hi Marília Prata ,</p>\n<p>Thanks for your answer , I will check it.</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 2159832,
      "author_name": "robertmcnutt0101",
      "author_url": "",
      "post_date": "02/26/2023 04:52:55",
      "content": "<p>import pandas as pd<br>\ndf = pd.read_parquet(\"[filename].parquet\", engine='pyarrow')<br>\nfor i in range (len(df)):<br>\n   print(df[[i]])</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2159986,
      "author_name": "craiggoodspeed",
      "author_url": "",
      "post_date": "02/26/2023 08:47:55",
      "content": "<p>I believe this is the output from another model --&gt; <a href=\"https://google.github.io/mediapipe/solutions/holistic\" target=\"_blank\">https://google.github.io/mediapipe/solutions/holistic</a></p>\n<p>this link here --&gt; <a href=\"https://www.kaggle.com/code/danielpeshkov/animated-data-visualization\" target=\"_blank\">https://www.kaggle.com/code/danielpeshkov/animated-data-visualization</a></p>\n<p>The developer plots the data shows a really good visual representation of the data. thank you <a href=\"https://www.kaggle.com/danielpeshkov\" target=\"_blank\">@danielpeshkov</a> </p>\n<p>Video below is the output from the script</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2158288": "Hello every one ,\n\nI still really don't understand the contenant of the  train_landmark_files/[participant_id]/[sequence_id].parquet files ,or  how can I read them , can some one help me understand   please .Thank you in advance",
    "2158495": "Hi Fatihaben,\n\nRead Rob Mulla code it's a perfect tutorial with parquet:   It starts above input 8.\n\n\"Parquet Landmark Data. Each Parquet file is in the path:\ntrain_landmark_files/[participant_id]/[sequence_id].parquet\nThe parquet's associated sign can be found in train.csv \n\nhttps://www.kaggle.com/code/robikscube/sign-language-recognition-eda-twitch-stream",
    "2159172": "Hi Marília Prata ,\n\nThanks for your answer , I will check it.",
    "2159832": "import pandas as pd\ndf = pd.read_parquet(\"[filename].parquet\", engine='pyarrow')\nfor i in range (len(df)):\n   print(df[[i]])",
    "2159986": "I believe this is the output from another model --> https://google.github.io/mediapipe/solutions/holistic\n\nthis link here --> https://www.kaggle.com/code/danielpeshkov/animated-data-visualization\n\nThe developer plots the data shows a really good visual representation of the data. thank you @danielpeshkov \n\nVideo below is the output from the script"
  },
  "source": "meta"
}