{
  "id": 55004,
  "title": "Quick question about helping me to submit my score",
  "url": "/competitions/talkingdata-adtracking-fraud-detection/discussion/55004",
  "author_name": "",
  "post_date": "2018-04-20T23:13:18.100962300Z",
  "votes": null,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Hey everyone!\nCould someone help me with this simple problem? I can't find anything online on how to simply convert a numpy.ndarray to pandas dataframe.\nI saved my final model to pred and now I want to assign it to a csv folder in order to submit it to Kaggle.\nMy steps:\n1. pred = final_model.predict(test)\n2. type(pred)\nout: numpy.ndarray\nNow I want to save it to submissions:\nsubmission = pd.read_csv('sample_submission.csv')\nsubmission['is_attributed'] = pred\nsubmission.to_csv('my_submission.csv', index=False)</p>\n\n<p>I get an error here because pred is an ndarray and can't assign it to a dataframe.\nAny suggestions please?\nThank you!</p>",
  "messages": [
    {
      "id": "317153",
      "postDate": "04/20/2018 23:13:18",
      "content": "<p>Hey everyone!\nCould someone help me with this simple problem? I can't find anything online on how to simply convert a numpy.ndarray to pandas dataframe.\nI saved my final model to pred and now I want to assign it to a csv folder in order to submit it to Kaggle.\nMy steps:\n1. pred = final_model.predict(test)\n2. type(pred)\nout: numpy.ndarray\nNow I want to save it to submissions:\nsubmission = pd.read_csv('sample_submission.csv')\nsubmission['is_attributed'] = pred\nsubmission.to_csv('my_submission.csv', index=False)</p>\n\n<p>I get an error here because pred is an ndarray and can't assign it to a dataframe.\nAny suggestions please?\nThank you!</p>",
      "rawMarkdown": "Hey everyone!\nCould someone help me with this simple problem? I can't find anything online on how to simply convert a numpy.ndarray to pandas dataframe.\nI saved my final model to pred and now I want to assign it to a csv folder in order to submit it to Kaggle.\nMy steps:\n1. pred = final_model.predict(test)\n2. type(pred)\nout: numpy.ndarray\nNow I want to save it to submissions:\nsubmission = pd.read_csv('sample_submission.csv')\nsubmission['is_attributed'] = pred\nsubmission.to_csv('my_submission.csv', index=False)\n\nI get an error here because pred is an ndarray and can't assign it to a dataframe.\nAny suggestions please?\nThank you!",
      "votes": null
    },
    {
      "id": "317234",
      "postDate": "04/21/2018 03:04:13",
      "content": "<p>I think it should be fine as long as your array dimension is right</p>\n\n<p><code>import numpy as np</code></p>\n\n<p><code>import pandas as pd</code></p>\n\n<p><code>pred = np.array([1,2,3]) # your numpy array</code></p>\n\n<p><code>submissions = pd.DataFrame()</code></p>\n\n<p><code>submissions['is_attributed'] = pred</code></p>\n\n<p><code>submissions</code></p>",
      "rawMarkdown": "I think it should be fine as long as your array dimension is right\n\n`import numpy as np`\n\n`import pandas as pd`\n\n`pred = np.array([1,2,3]) # your numpy array`\n\n`submissions = pd.DataFrame()`\n\n`submissions['is_attributed'] = pred`\n\n`submissions`",
      "votes": null
    },
    {
      "id": "317259",
      "postDate": "04/21/2018 04:33:07",
      "content": "<p>Thank you!</p>",
      "rawMarkdown": "Thank you!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 317234,
      "author_name": "sdarmawan",
      "author_url": "",
      "post_date": "04/21/2018 03:04:13",
      "content": "<p>I think it should be fine as long as your array dimension is right</p>\n\n<p><code>import numpy as np</code></p>\n\n<p><code>import pandas as pd</code></p>\n\n<p><code>pred = np.array([1,2,3]) # your numpy array</code></p>\n\n<p><code>submissions = pd.DataFrame()</code></p>\n\n<p><code>submissions['is_attributed'] = pred</code></p>\n\n<p><code>submissions</code></p>",
      "votes": null,
      "replies": [
        {
          "id": 317259,
          "author_name": "michaelabehsera",
          "author_url": "",
          "post_date": "04/21/2018 04:33:07",
          "content": "<p>Thank you!</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "317153": "Hey everyone!\nCould someone help me with this simple problem? I can't find anything online on how to simply convert a numpy.ndarray to pandas dataframe.\nI saved my final model to pred and now I want to assign it to a csv folder in order to submit it to Kaggle.\nMy steps:\n1. pred = final_model.predict(test)\n2. type(pred)\nout: numpy.ndarray\nNow I want to save it to submissions:\nsubmission = pd.read_csv('sample_submission.csv')\nsubmission['is_attributed'] = pred\nsubmission.to_csv('my_submission.csv', index=False)\n\nI get an error here because pred is an ndarray and can't assign it to a dataframe.\nAny suggestions please?\nThank you!",
    "317234": "I think it should be fine as long as your array dimension is right\n\n`import numpy as np`\n\n`import pandas as pd`\n\n`pred = np.array([1,2,3]) # your numpy array`\n\n`submissions = pd.DataFrame()`\n\n`submissions['is_attributed'] = pred`\n\n`submissions`",
    "317259": "Thank you!"
  },
  "source": "meta"
}