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        "author": "Arthur RENAUD ; Antoine MARULLAZ => Stackadoc",
        "author_email": "arthur.b.renaud@gmail.com",
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        "classifiers": [
            "Development Status :: 1 - Planning",
            "License :: OSI Approved",
            "Natural Language :: French",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3.6",
            "Topic :: Communications"
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        "description": "# pdfannot\n\nThis package aims to create a two-way link between annotated pdf and excel data frame.\n\nIt allows you to :\n\n   - create an DataFrame containing each string annotated of the pdf in a column 'annot_text', along with its annotation in a column 'label' and information such as coordinates, page etc.\n   - annotate a pdf given an DataFrame of the form described above.\n   \nIt can be really useful for generating automatically annotated pdf documents with NLP models capable to\ninfer annotations from raw texts in a data frame.\n\n\n### Prerequisites\n\n- pandas\n- fitz\n\n(pip install pymupdf)\n\n\n\n### Installing\n\npip install pdfannot\n\n\n### Examples\n\nYour DataFrame must contains info on what to annotate on the pdf :\n\n    import pdfannot\n    import pandas as pd\n    \n    # adf stands for annotation dataframe\n    adf = pd.DataFrame([\n    {'x': 40, 'y': 60, 'w': 300, 'h': 50}, \n    {'text': 'APPEAL relating to Cancellation Proceedings No 399', 'type': 'Highlight'},\n    {'text': 'ication for a declaration of i', 'type': 'Highlight', 'label': 'label 1'},\n    {'x': 100, 'y': 600, 'w': 300, 'h': 50, 'page': 1, 'label': 'label 2'}, \n     ])\n    \n    # pdfannot.exple_pdf is a test pdf shipped with pdf annot package / debug is set to True for some verbose\n    pdfannot.annotate_pdf(adf, pdfannot.exple_pdf, '/tmp/test.pdf', debug=True)\n\n\n    \nYour annotation dataframe should have already columns 'x','y','h','w' (coordinate to make a square) or 'text' (texts to annotate).\n   \n    annotate_pdf(DataFrame, orig_pdfpath, dest_pdfpath)\n    \nwill use your DataFrame and the directory of your pdf passed in argument to annotate it and store it at dest_pdfpath.\n\nThe function also considers optional columns 'label' to label your annotations and 'type' to specify whether you want \na 'Square' or a 'Highlight'. \n\nDefaults are label : '' and type : 'Square'. \n\nFinally, specifying the annotation's page with a column 'page' speeds up the algorithm. \"page\" is optional for 1 page pdfs.\n\n\n### Internals\n\nHowever if your DataFrame has one text column per label of annotation (WARNING : each of them must be named annot_{label_name}) then you can transform it with :\n\n    annot_utils.dlf2adf(DataFrame)\n\nto make it acceptable by annotate_pdf. After this execute :\n\n    annotate_pdf(DataFrame, orig_pdfpath, dest_pdfpath)\n\nto annotate your pdf (this method allows only highlights).\n    \n    \n### Authors\n\nArthur Renaud, Antoine Marullaz --> Stackadoc\n\nAny recommendation/question ? --> contact@stackadoc.com",
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