Skip to content

Instantly share code, notes, and snippets.

@patmandenver
Created February 5, 2020 21:26
Show Gist options
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
  • Save patmandenver/b3cd69725c22bc58f58bbb6f36dc5aeb to your computer and use it in GitHub Desktop.
Save patmandenver/b3cd69725c22bc58f58bbb6f36dc5aeb to your computer and use it in GitHub Desktop.
#!/usr/bin/env python3
import openpyxl
import json
from openpyxl import load_workbook
#############################################
# MAIN
#############################################
if __name__ == '__main__':
wb = load_workbook(filename = 'test_json.xlsx')
ws = wb["First Sheet"]
budget_dict = {}
column_headers = {}
#Returns a Tuple that are cell type
first_row = ws[1]
#Skip the first column
for cell in first_row[1:]:
column_headers[cell.column] = cell.internal_value
for row in ws.iter_rows(min_row=2):
#Store months out
month_cell = row[0]
temp_cell_dict = {}
#Skip the month cell
for cell in row[1:]:
#Store the data in dict with key as column name
col_name = column_headers[cell.column]
temp_cell_dict[col_name] = cell.internal_value
#Set month key to be contents of row
budget_dict[month_cell.internal_value] = temp_cell_dict
#Convert dict to JSON
data_json = json.dumps(budget_dict)
#Write json file
with open("new.json", "w") as f:
f.write(data_json)
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment