first_text_line_obj=page.extract_text_lines()[-1]table_settings={'explicit_horizontal_lines':[m...
"vertical_strategy":"lines", "horizontal_strategy":"lines", "explicit_vertical_lines": [], "explicit_horizontal_lines": [], "snap_tolerance":3, "join_tolerance":3, "edge_min_length":3, "min_words_vertical":3, "min_words_horizontal":1, "keep_blank_chars":False, "text_tolerance":3...
"horizontal_strategy" 水平策略,可选值 "lines", "lines_strict", "text", "explicit". 见后续说明 "explicit_vertical_lines" 明确划分表中单元格的垂直线列表。可与上述任何策略结合使用。列表中的项目应该是数字(表示一条直线的x坐标,即页面的全高)或 line/rect/curve对象。 "explicit_horizontal_lines" 明...
"text" For vertical_strategy: Deduce the (imaginary) lines that connect the left, right, or center of words on the page, and use those lines as the borders of potential table-cells. For horizontal_strategy, the same but using the tops of words. "explicit" Only use the lines explicitly ...
"horizontal_strategy": "lines", "intersection_x_tolerance": 5, "intersection_y_tolerance": 5, }) print("手动解析表格:") for row in table: print(row) 5. 示例应用场景 (1) 批量提取 PDF 文本 import os import pdfplumber # 批量处理多个 PDF 文件 ...
对于没有线条完美包裹的table,pdfplumber中有words_to_edges函数,可以从字符识别出隐形的边框,把边框添加到explicit_vertical_line(或者水平)中。这种方法相当于text、lines策略的结合:主要用lines策略,再用words识别出隐形边框,添加为辅助线。识别效果非常不错。
问pdfplumber处理pdf表格具体的参数设置？在大多数常规数据文件中，pdf文件因其特殊的性质导致对其信息进行...
尝试将horizontal_strategy设置为explicit，并像处理vertical_strategy那样提供explicit_horizontal_lines假设30...
withpdfplumber.open("complex_table.pdf")aspdf:page=pdf.pages[0]# 自定义表格设置table_settings={"vertical_strategy":"text","horizontal_strategy":"text","intersection_y_tolerance":10}table=page.extract_table(table_settings) 1. 2. 3.
[], "explicit_horizontal_lines": [], "snap_tolerance": 3, "join_tolerance": 3, "edge_min_length": 3, "min_words_vertical": 3, "min_words_horizontal": 1, "keep_blank_chars": False, "text_tolerance": 3, "text_x_tolerance": None, "text_y_tolerance": None, "intersection_...