How to make the content written to Excel in a loop not overwritten by the previous one-CodePudding

Extract data from multiple word tables and write them into the same sheet in Excel.

path = 'folder path'
worddocs_list = []
for filename in os.listdir(path):
    wordDoc = Document(path '\\' filename)
    worddocs_list.append(wordDoc)
    
writer = pd.ExcelWriter("./test.xlsx", engine='xlsxwriter')

i = 0
for wordDoc in worddocs_list:
    for table in wordDoc.tables:
        lst = []
        for row in table.rows[5:6]:
            row_lst = []
            for cell in row.cells[1:7]:
                c = cell.text
                row_lst.append(c)
            lst.append(row_lst)
        df = pd.DataFrame()
        N = 6
        split_list = np.array_split(lst, N, axis=0)
        for i in range(N):
            df.loc[0, 'Column_{}'.format(i)] = split_list[0][0][i]
        print(df)
        df.to_excel(writer, sheet_name=f'Sheet{1}')
    i  = 1

writer.save()

In the TEST file, only the content of the last loop. How to write ‘ROW 1’ in each loop, thank you!!

CodePudding user response：

It looks like you are taking just one row from each table. You can gather all of these rows together and then do one write at the end.

out_rows = [
    [c.text for c in table.rows[5].cells[1:7]]
    for wordDoc in worddocs_list
    for table in wordDoc.tables
]

df = pd.DataFrame(out_rows, columns=[f"Column_{i}" for i in range(6)])
df.to_excel(writer, sheet_name=f'Sheet{1}')