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Python for Secret Agents - Volume II

You're reading from   Python for Secret Agents - Volume II Gather, analyze, and decode data to reveal hidden facts using Python, the perfect tool for all aspiring secret agents

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Product type Paperback
Published in Dec 2015
Publisher
ISBN-13 9781785283406
Length 180 pages
Edition 2nd Edition
Languages
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Author (1):
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Steven F. Lott Steven F. Lott
Author Profile Icon Steven F. Lott
Steven F. Lott
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Toc

Getting text data from a document

We'll need to add some more features to our class definition so that we can extract meaningful, aggregated blocks of text. We'll need to add some layout rules and a text aggregator that uses the rules and the raw page to create aggregated blocks of text.

We'll override the init_device() method to create a more sophisticated device. Here's the next subclass, built on the foundation of the Miner_Page and Miner classes:

from pdfminer.converter import PDFPageAggregator
from pdfminer.layout import LAParams
class Miner_Layout(Miner_Page):
    def __init__(self, *args, **kw):
        super().__init__(*args, **kw)
    def init_device(self, resource_manager, **params):
        """Return an PDFPageAggregator as a device."""
        self.layout_params = LAParams(**params)
        return PDFPageAggregator(resource_manager, laparams=self.layout_params)
    def page_iter(self):
        """Yields a LTPage...
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