XLRD/Python: Reading Excel file into dict with for-loops

Question

I\'m looking to read in an Excel workbook with 15 fields and about 2000 rows, and convert each row to a dictionary in Python. I then want to append each dictionary to a list

Answer 1

Try this one. This function below will return generator contains dict of each row and column.

from xlrd import open_workbook

for row in parse_xlsx():
    print row # {id: 4, thread_id: 100, forum_id: 3, post_time: 1377000566, votes: 1, post_text: 'here is some text'}

def parse_xlsx():
    workbook = open_workbook('excelsheet.xlsx')
    sheets = workbook.sheet_names()
    active_sheet = workbook.sheet_by_name(sheets[0])
    num_rows = active_sheet.nrows
    num_cols = active_sheet.ncols
    header = [active_sheet.cell_value(0, cell).lower() for cell in range(num_cols)]
    for row_idx in xrange(1, num_rows):
        row_cell = [active_sheet.cell_value(row_idx, col_idx) for col_idx in range(num_cols)]
        yield dict(zip(header, row_cell))