PyPDF2-extract_text

pypdf2-extract_text.ipynb

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        "<a href=\"https://colab.research.google.com/gist/x1001000/6f97aa2da2487212f4358ea38924d064/pypdf2-extract_text.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
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    {
      "cell_type": "code",
      "source": [
        "!pip install PyPDF2 --quiet\n",
        "from PyPDF2 import PdfReader\n",
        "import re"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
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          "text": [
            "\u001b[?25l\r\u001b[K     |█▌                              | 10 kB 22.7 MB/s eta 0:00:01\r\u001b[K     |███                             | 20 kB 11.7 MB/s eta 0:00:01\r\u001b[K     |████▌                           | 30 kB 14.9 MB/s eta 0:00:01\r\u001b[K     |██████                          | 40 kB 6.0 MB/s eta 0:00:01\r\u001b[K     |███████▍                        | 51 kB 5.4 MB/s eta 0:00:01\r\u001b[K     |█████████                       | 61 kB 6.3 MB/s eta 0:00:01\r\u001b[K     |██████████▍                     | 71 kB 7.1 MB/s eta 0:00:01\r\u001b[K     |███████████▉                    | 81 kB 7.9 MB/s eta 0:00:01\r\u001b[K     |█████████████▍                  | 92 kB 6.6 MB/s eta 0:00:01\r\u001b[K     |██████████████▉                 | 102 kB 7.0 MB/s eta 0:00:01\r\u001b[K     |████████████████▍               | 112 kB 7.0 MB/s eta 0:00:01\r\u001b[K     |█████████████████▉              | 122 kB 7.0 MB/s eta 0:00:01\r\u001b[K     |███████████████████▎            | 133 kB 7.0 MB/s eta 0:00:01\r\u001b[K     |████████████████████▉           | 143 kB 7.0 MB/s eta 0:00:01\r\u001b[K     |██████████████████████▎         | 153 kB 7.0 MB/s eta 0:00:01\r\u001b[K     |███████████████████████▊        | 163 kB 7.0 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████▎      | 174 kB 7.0 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████▊     | 184 kB 7.0 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████▏   | 194 kB 7.0 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████▊  | 204 kB 7.0 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████▏| 215 kB 7.0 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████████| 220 kB 7.0 MB/s \n",
            "\u001b[?25h"
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          "data": {
            "text/plain": [
              "'5.16'"
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          "metadata": {},
          "execution_count": 2
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      ],
      "source": [
        "reader = PdfReader('VNG-EyeSeeCam.pdf')\n",
        "text = reader.pages[0].extract_text()\n",
        "Mean = re.search('Mean ± \\(SD\\)        (.*) ± \\(.*\\), Median', text).group(1)\n",
        "Mean"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "reader = PdfReader('vHIT-EyeSeeCam.pdf')\n",
        "text = reader.pages[0].extract_text()\n",
        "Gain_Asymmetry = re.search(' ....(.*%)\\n', text).group(1)\n",
        "left, right = re.findall('60 ms :   (.*) ±', text)\n",
        "Gain_Asymmetry"
      ],
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              "'1%'"
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        "right"
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          "output_type": "execute_result",
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            "text/plain": [
              "'1.05'"
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          "execution_count": 4
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