I want to parse a table from a .docx file using Python and python-docx into some useful data structure.
The .docx file contains only a single table in my case. I've uploaded it so you can have a look. Here's a screenshot:
I want to parse a table from a .docx file using Python and python-docx into some useful data structure.
The .docx file contains only a single table in my case. I've uploaded it so you can have a look. Here's a screenshot:
您可以使用下面的代码段将您的文档解析为一个列表,其中每一行都是一个字典,将表头值映射到列值。
from docx.api import Document
# Load the first table from your document. In your example file,
# there is only one table, so I just grab the first one.
document = Document('Books.docx')
table = document.tables[0]
# Data will be a list of rows represented as dictionaries
# containing each row's data.
data = []
keys = None
for i, row in enumerate(table.rows):
text = (cell.text for cell in row.cells)
# Establish the mapping based on the first row
# headers; these will become the keys of our dictionary
if i == 0:
keys = tuple(text)
continue
# Construct a dictionary for this row, mapping
# keys to values for this row
row_data = dict(zip(keys, text))
data.append(row_data)
这会给你:
data = [
{u'Pub.': u'Penguin Books',
u'Auther': u'Edward de BONO',
u'Sr. No.': u'1',
u'Name of Book': u'Six Thinking Hats'
},
...
]
如果你只想为每一行创建一个元组,你应该创建一个字典,而不是只设置row_data
为元组值text
,所以在循环中而不是构造dict
,做:
# Construct a tuple for this row
row_data = tuple(text)
data.append(row_data)
现在,data
将持有这样的东西:
data = [
(u'1',
u'Six Thinking Hats',
u'Edward de BONO',
u'Penguin Books'
),
...
]
然后你可以跳过构造keys
,显然(但仍然跳过第一行!)。