Web1 hour ago · Thanks in advance. Here's the code : import sqlite3 import PySimpleGUI as sg # Create connection to SQLite database conn = sqlite3.connect ('Data_Enteries.db') c = conn.cursor () # Create table if it doesn't exist c.execute ('''CREATE TABLE IF NOT EXISTS dictionary (id INTEGER PRIMARY KEY, English TEXT, French TEXT, Spanish … WebOct 30, 2024 · with source_conn.cursor () as source_cursor: source_cursor.execute (sql_query) field_names = [i [0] for i in source_cursor.description] field_names = ', '.join (field_names) fetched_data = source_cursor.fetchall () data = [list (rows) for rows in fetched_data] # this one Share Improve this answer Follow answered Oct 31, 2024 at …
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WebNov 3, 2012 · The following code will convert the entire result set ( Cursor) into a list: myresults = list (mydb.mycollection.find ()) This is fine for relatively small result sets, as you are pulling everything into memory. Share Improve this answer Follow edited Sep 2, 2015 at 19:34 mcont 1,681 1 21 33 answered Nov 4, 2012 at 2:11 Brian Cajes 3,254 3 20 22 WebMay 26, 2024 · First, we will convert the Cursor to the list of dictionary. list_cur = list (cursor) Now, converting the list_cur to the JSON using the method dumps () from bson.json_util. json_data = dumps (list_cur) You can now save it to the file or can use it in the program using loads () function. Below is the implementation. rockingham gp reviews
python - Return SQLAlchemy results as dicts instead of lists
WebJan 13, 2024 · 7. Converting List Into a Dictionary Using Dictionary Comprehension. By using dictionary comprehension, we can convert a list of keys to a dictionary having the same value. d1={k:"a" for k in l1} It will … WebJul 20, 2010 · from django.db import connection sql = 'SELECT to_json (result) FROM (SELECT * FROM TABLE table) result)' with connection.cursor () as cursor: cursor.execute (sql) output = cursor.fetchall () a table like: id, value ---------- 1 3 2 7 will return a Python JSON Object [ {"id": 1, "value": 3}, {"id":2, "value": 7}] Web5. The following code converts the result set into a dictionary. from django.db import connections cursor = connections ['default'].cursor () columns = (x.name for x in cursor.description) result = cursor.fetchone () result = dict (zip (columns, result)) If the result set has multiple rows, iterate over the cursor instead. other term for wife