python-docx：将表解析为Panda Dataframe

问题描述

我正在使用 python-docx 库提取ms word文档。我可以使用相同的库从word文档中获取所有表格。但是，我想将表格解析为熊猫数据框，是否可以使用任何内置功能将表格解析为数据框，还是必须手动进行？
另外，是否有可能知道表所在的标题名称？谢谢

I'm using the python-docx library to extract ms word document. I'm able to get all the tables from the word document by using the same library. However, I'd like to parse the table into a panda data frame, is there any built-in functionality I can use to parse the table into data frame or I'll have to do it manually?Also, is there a possibility to know the heading name in which the table lies inside? Thank you

from docx import Document
from docx.shared import Inches
document = Document('test.docx')

tabs = document.tables

推荐答案

您可以使用以下代码从数据框中的文档中提取表：

You can extract tables from the document in data-frame by using this code :

from docx import Document
import pandas as pd
document = Document('test.docx')

tables = []
for table in document.tables:
    df = [['' for i in range(len(table.columns))] for j in range(len(table.rows))]
    for i, row in enumerate(table.rows):
        for j, cell in enumerate(row.cells):
            if cell.text:
                df[i][j] = cell.text
    tables.append(pd.DataFrame(df))
print(tables)

您可以从表变量中获取所有表。

You can get all the tables from the tables variable.

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