Import data from python dataframe to sql database

Question

I need your help.

I have a list of information, which in form of list= [x0, x1,...x_end] ( with x0 = [name, phone number....] => about 25 details of one person)

I change the list into a dataframe, and now I want to push the data into SQL server database.

I use this line of code to insert a single data point to my database

cursor.execute('''
                INSERT INTO Table (name of all the columns)
                VALUES
                (all value of a certain row)
                ''')

conn.commit()

now I want to push all the rows from list or from dataframe to the database.

I try something like:

def insert_sql(x):
    cursor.execute('''INSERT INTO Table (name of all the columns)  VALUES(x)''') 
    conn.commit()
for i in list:
    insert_sql(i)

But it doesn't work.

Any idea? Also, there are many columns. Is there any way to automatically insert the row without listing all the name of the columns like what I did above?

Answer 1

Pandas provide a function to directly write your dataframe to DB, use the below function

DataFrame.to_sql(name, con, schema=None, if_exists='fail', index=True, index_label=None, chunksize=None, dtype=None, method=None)

First create a Table:

cursor.execute('CREATE TABLE Table_name (Brand text, Price number)')
conn.commit()

Next insert the records using to_sql:

your_df.to_sql('Table_name', conn, if_exists='replace', index = False)

Ref: to_sql