Python PDF Mining 获取每行文本的位置

Question

我目前正在使用此处的答案中提供的课程：

如何从pdf文件中提取文本和文本坐标？

提供的课程非常有用，因为我可以获取 PDF 中每个文本框的位置。每次文本框中有新行时，给定的类也会插入一个“_”。

我想知道是否有某种方法可以获取文本框中每行文本的位置？

Answer 1

找到它：解决方案是即使有文本框也递归，直到找到文本行。当 parsepdf 方法被调用时，下面的类应该提供 pdf 上每行文本的 x 和 y 坐标。

from pdfminer.pdfparser import PDFParser
from pdfminer.pdfdocument import PDFDocument
from pdfminer.pdfpage import PDFPage
from pdfminer.pdfpage import PDFTextExtractionNotAllowed
from pdfminer.pdfinterp import PDFResourceManager
from pdfminer.pdfinterp import PDFPageInterpreter
from pdfminer.pdfdevice import PDFDevice
from pdfminer.layout import LAParams
from pdfminer.converter import PDFPageAggregator
import pdfminer

class pdfPositionHandling:

    def parse_obj(self, lt_objs):

        # loop over the object list
        for obj in lt_objs:

            if isinstance(obj, pdfminer.layout.LTTextLine):
                print "%6d, %6d, %s" % (obj.bbox[0], obj.bbox[1], obj.get_text().replace('\n', '_'))

            # if it's a textbox, also recurse
            if isinstance(obj, pdfminer.layout.LTTextBoxHorizontal):
                self.parse_obj(obj._objs)

            # if it's a container, recurse
            elif isinstance(obj, pdfminer.layout.LTFigure):
                self.parse_obj(obj._objs)

    def parsepdf(self, filename, startpage, endpage):

        # Open a PDF file.
        fp = open(filename, 'rb')

        # Create a PDF parser object associated with the file object.
        parser = PDFParser(fp)

        # Create a PDF document object that stores the document structure.
        # Password for initialization as 2nd parameter
        document = PDFDocument(parser)

        # Check if the document allows text extraction. If not, abort.
        if not document.is_extractable:
            raise PDFTextExtractionNotAllowed

        # Create a PDF resource manager object that stores shared resources.
        rsrcmgr = PDFResourceManager()

        # Create a PDF device object.
        device = PDFDevice(rsrcmgr)

        # BEGIN LAYOUT ANALYSIS
        # Set parameters for analysis.
        laparams = LAParams()

        # Create a PDF page aggregator object.
        device = PDFPageAggregator(rsrcmgr, laparams=laparams)

            # Create a PDF interpreter object.
        interpreter = PDFPageInterpreter(rsrcmgr, device)


        i = 0
        # loop over all pages in the document
        for page in PDFPage.create_pages(document):
            if i >= startpage and i <= endpage:
                # read the page into a layout object
                interpreter.process_page(page)
                layout = device.get_result()

                # extract text from this object
                self.parse_obj(layout._objs)
            i += 1