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 to first set up your keys by parsing just the first line, all columns, another function to parse the data, then call them in order.

all_fields_list = []
header_dict = {}
def parse_data_headers(sheet):
   global header_dict
   for c in range(sheet.ncols):
       key = sheet.cell(1, c) #here 1 is the row number where your header is
       header_dict[c] = key   #store it somewhere, here I have chosen to store in a dict
def parse_data(sheet):
   for r in range(2, sheet.nrows):
       row_dict = {}
       for c in range(sheet.ncols):
           value = sheet.cell(r,c)
           row_dict[c] = value
       all_fields_list.append(row_dict)