如何使用tabula-py将PDF转换为CSV? [英] How to convert PDF to CSV with tabula-py?

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问题描述

在Python 3中,我有一个PDF文件"Ativos_Fevereiro_2018_servidores_rj.pdf",具有6,041页.我在装有Ubuntu的计算机上

In Python 3, I have a PDF file "Ativos_Fevereiro_2018_servidores_rj.pdf" with 6,041 pages. I'm on a machine with Ubuntu

在每个页面的顶部,两行都是文本.在表格下方,带有标题和两列.每张表排成36行,最后一页则减少

On each page there is text at the top of the page, two lines. And below a table, with header and two columns. Each table in 36 rows, less on the last page

在每页末尾,表格之后,还有一行文字

At the end of each page, after the tables, there is also a line of text

我想从此PDF创建CSV,仅考虑页面中的表格.并忽略表格前后的文字

I want to create a CSV from this PDF, considering only the tables in the pages. And ignoring the texts before and after the tables

最初,我测试了表格.但它会生成一个空文件:

Initially I tested the tabula-py. But it generates an empty file:

from tabula import convert_into

convert_into("Ativos_Fevereiro_2018_servidores_rj.pdf", "test_s.csv", output_format="csv")

请问,有人知道这种方法可以使用tabula-py吗?

Please, does anyone know of another method to use tabula-py for this type of demand?

还是将这种文件类型的PDF转换为CSV的另一种方法?

Or another way to convert PDF to CSV in this file type?

推荐答案

好,我发现了问题:您必须设置spreadsheet=True并保持utf-8编码:

Ok, I've found the issue: you have to set spreadsheet=True and keep utf-8 encoding:

df = tabula.read_pdf("Ativos_Fevereiro_2018_servidores_rj.pdf", encoding='utf-8', spreadsheet=True, pages='1-6041')

在下面的图片中,我仅在首页进行了测试(因为您的文件很大):

In the picture below I tested it with just the first page (because your file is huge):

之后,您可以将DataFrame另存为csv:

You can save the DataFrame as csv afterwards:

df.to_csv('otuput.csv', encoding='utf-8')

好的,该错误可能是Java内存问题.为了使其更快,我添加了pages选项.此外,还有一个编码问题,因此encoding='utf-8'已添加到csv导出中. 如果您仍然遇到Java错误,请尝试分批解析它,例如pages='1-300'.我刚刚完成了所有6041(在64GB RAM机器上),工作正常.

Ok, the error could be a java-memory issue. To make it faster I added the pages option. And there also was an encoding problem, so encoding='utf-8' added to the csv export. If you keep running into the java-error, try parse it in chunks, e.g. pages='1-300'. I just did all 6041 (on a 64GB RAM Machine), it worked fine.

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