
Overview
In Python, the “DELETE FROM” statement is used to remove data from a MySQL table.
DELETE FROM… WHERE
Wheras the “DELETE FROM” statement points to the table to use, the “WHERE” statement points to which row or rows will be deleted. Without the “WHERE” statement, all rows in the table will be deleted.
import mysql.connector
mydb = mysql.connector.connect(
host="localhost",
user="myusername",
password="mypassword",
database="mydatabase"
)
mycursor = mydb.cursor()
sql = "DELETE FROM customers WHERE age = 57"
mycursor.execute(sql)
mydb.commit()
print(mycursor.rowcount, "record(s) deleted")
Note
The mydb.commit() statement is required to make the changes. No changes are made to the table without this statement appearing after the changes.
Output:
1 record(s) deleted
Deleting an Entire Table (Dropping a Table)
The “DROP TABLE” statement is used to delete an existing table
import mysql.connector
mydb = mysql.connector.connect(
host="localhost",
user="myusername",
password="mypassword",
database="mydatabase"
)
mycursor = mydb.cursor()
sql = "DROP TABLE customers"
mycursor.execute(sql)
Output:
#If no errors are thrown, the table has been successfully deleted
Using the “IF EXISTS” keyword, the table will be deleted only if it exists. This avoids throwing an error for trying to delete a non-existent table.
import mysql.connector
mydb = mysql.connector.connect(
host="localhost",
user="myusername",
password="mypassword",
database="mydatabase"
)
mycursor = mydb.cursor()
sql = "DROP TABLE IF EXISTS customers"
mycursor.execute(sql)
Output:
#The table will be deleted, but only if it exists; no errors will be thrown either way
Python Notes:
- The most recent major version of Python is Python 3; however, Python 2 is still in use and quite popular, although not being updated with anything other than security updates
- Python uses new lines to complete a command, as opposed to other programming languages which often use semicolons or parentheses
- Python relies on indentation, using whitespace to define scope, such as the scope of loops, functions, and classes; other programming languages often use curly-brackets for this purpose
- Python string methods return new values, and DO NOT change the original string
- Python tuples are unchangeable after created (their items CANNOT be changed or re-ordered at a later point)
- Python sets are unordered (may appear in random orders when called), unchangeable (the value of individual items cannot be changed after creation), unindexed (items cannot be referred to by index or key), and duplicates are NOT ALLOWED
- As of v3.7, Python dictionaries are ordered and duplicates ARE ALLOWED; in v3.6 and earlier, dictionaries were unordered (did not have a defined order and could not be referred to using an index)
- Python does not have built-in support for arrays, but Python lists can be used as pseudo “arrays”; therefore, all Python list methods will work with these pseudo “arrays”
We’d like to acknowledge that we learned a great deal of our coding from W3Schools and TutorialsPoint, borrowing heavily from their teaching process and excellent code examples. We highly recommend both sites to deepen your experience, and further your coding journey. We’re just hitting the basics here at 1SMARTchicken.