Skip to main content

can't insert a row into my table with pymysql

when i try to run this code i get error ((1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ''music' ('Number', 'Song', 'Band', 'Link', 'Sad depressing', 'Dreamy', 'Anxious ' at line 1")) and i don't know why. everything seems right to me

import pymysql
def mysqladd(Number, Song, Band, Link, Sad_depressing, Dreamy, Anxious_tense, Scary_fearful, Annoying, Indignant_defiant, Energizing_pump_up, Amusing, Joyful_cheerful, Erotic_Desirous, Calm_relaxing, Beatyful):
    connection = pymysql.connect(host='localhost', user='cd63913_neurohac', password='1234', database='cd63913_neurohac')
    cur = connection.cursor()
    #cur.execute("select @@version")

    mySql_insert_query = "INSERT INTO 'music' ('Number', 'Song', 'Band', 'Link', 'Sad depressing', 'Dreamy', 'Anxious tense', 'Scary fearful', 'Annoying', 'Indignant defiant', 'Energizing pump-up', 'Amusing', 'Joyful cheerful', 'Erotic Desirous', 'Calm relaxing', 'Beatyful') VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)"  
    record = (Number, Song, Band, Link, Sad_depressing, Dreamy, Anxious_tense, Scary_fearful, Annoying, Indignant_defiant, Energizing_pump_up, Amusing, Joyful_cheerful, Erotic_Desirous, Calm_relaxing, Beatyful)
    cur.execute(mySql_insert_query, record)
    connection.commit()
    print(cur.rowcount, "Success")


    # To close the connection
    connection.close()
  
# Driver Code
if __name__ == "__main__" :
    mysqladd(8, "One Way Or Another", "Blondie", "https://youtu.be/valVixMpzQY", 10, 50, 0, 0, 0, 0, 0, 0, 100, 0, 69, 100) ```


source https://stackoverflow.com/questions/75596388/cant-insert-a-row-into-my-table-with-pymysql

Comments

Popular posts from this blog

How to show number of registered users in Laravel based on usertype?

i'm trying to display data from the database in the admin dashboard i used this: <?php use Illuminate\Support\Facades\DB; $users = DB::table('users')->count(); echo $users; ?> and i have successfully get the correct data from the database but what if i want to display a specific data for example in this user table there is "usertype" that specify if the user is normal user or admin i want to user the same code above but to display a specific usertype i tried this: <?php use Illuminate\Support\Facades\DB; $users = DB::table('users')->count()->WHERE usertype =admin; echo $users; ?> but it didn't work, what am i doing wrong? source https://stackoverflow.com/questions/68199726/how-to-show-number-of-registered-users-in-laravel-based-on-usertype

Why is my reports service not connecting?

I am trying to pull some data from a Postgres database using Node.js and node-postures but I can't figure out why my service isn't connecting. my routes/index.js file: const express = require('express'); const router = express.Router(); const ordersCountController = require('../controllers/ordersCountController'); const ordersController = require('../controllers/ordersController'); const weeklyReportsController = require('../controllers/weeklyReportsController'); router.get('/orders_count', ordersCountController); router.get('/orders', ordersController); router.get('/weekly_reports', weeklyReportsController); module.exports = router; My controllers/weeklyReportsController.js file: const weeklyReportsService = require('../services/weeklyReportsService'); const weeklyReportsController = async (req, res) => { try { const data = await weeklyReportsService; res.json({data}) console...

ValueError: X has 10 features, but LinearRegression is expecting 1 features as input

So, I am trying to predict the model but its throwing error like it has 10 features but it expacts only 1. So I am confused can anyone help me with it? more importantly its not working for me when my friend runs it. It works perfectly fine dose anyone know the reason about it? cv = KFold(n_splits = 10) all_loss = [] for i in range(9): # 1st for loop over polynomial orders poly_order = i X_train = make_polynomial(x, poly_order) loss_at_order = [] # initiate a set to collect loss for CV for train_index, test_index in cv.split(X_train): print('TRAIN:', train_index, 'TEST:', test_index) X_train_cv, X_test_cv = X_train[train_index], X_test[test_index] t_train_cv, t_test_cv = t[train_index], t[test_index] reg.fit(X_train_cv, t_train_cv) loss_at_order.append(np.mean((t_test_cv - reg.predict(X_test_cv))**2)) # collect loss at fold all_loss.append(np.mean(loss_at_order)) # collect loss at order plt.plot(np.log(al...