Reputation: 39
I am trying to parse a word (.docx) for tables, then copy these tables over to excel using xlsxwriter. This is my code:
from docx.api import Document
import xlsxwriter
document = Document('/Users/xxx/Documents/xxx/Clauses Sample - Copy v1 - for merge.docx')
tables = document.tables
wb = xlsxwriter.Workbook('C:/Users/xxx/Documents/xxx/test clause retrieval.xlsx')
Sheet1 = wb.add_worksheet("Compliance")
index_row = 0
print(len(tables))
for table in document.tables:
data = []
keys = None
for i, row in enumerate(table.rows):
text = (cell.text for cell in row.cells)
if i == 0:
keys = tuple(text)
continue
row_data = dict(zip(keys, text))
data.append(row_data)
#print (data)
#big_data.append(data)
Sheet1.write(index_row,0, str(row_data))
index_row = index_row + 1
print(row_data)
wb.close()
This is my desired output:
However, here is my actual output:
I am aware that my current output produces a list of string instead.
Is there anyway that I can get my desired output using xlsxwriter? Any help is greatly appreciated
Upvotes: 1
Views: 9664
Reputation: 39
This is the portion of my code update that allowed me to get the output I want:
for row in block.rows:
for x, cell in enumerate(row.cells):
print(cell.text)
Sheet1.write(index_row, x, cell.text)
index_row += 1
Output:
Upvotes: 2
Reputation: 4743
I would go using pandas
package, instead of xlsxwriter
, as follows:
from docx.api import Document
import pandas as pd
document = Document("D:/tmp/test.docx")
tables = document.tables
df = pd.DataFrame()
for table in document.tables:
for row in table.rows:
text = [cell.text for cell in row.cells]
df = df.append([text], ignore_index=True)
df.columns = ["Column1", "Column2"]
df.to_excel("D:/tmp/test.xlsx")
print df
Which outputs the following that is inserted in the excel:
>>>
Column1 Column2
0 Hello TEST
1 Est Ting
2 Gg ff
Upvotes: 4