Arrange Table by Gender
[]
["Create table If Not Exists Genders (user_id int, gender ENUM('female', 'other', 'male'))", 'Truncate table Genders', "insert into Genders (user_id, gender) values ('4', 'male')", "insert into Genders (user_id, gender) values ('7', 'female')", "insert into Genders (user_id, gender) values ('2', 'other')", "insert into Genders (user_id, gender) values ('5', 'male')", "insert into Genders (user_id, gender) values ('3', 'female')", "insert into Genders (user_id, gender) values ('8', 'male')", "insert into Genders (user_id, gender) values ('6', 'other')", "insert into Genders (user_id, gender) values ('1', 'other')", "insert into Genders (user_id, gender) values ('9', 'female')"]
{"mysql": ["Create table If Not Exists Genders (user_id int, gender ENUM('female', 'other', 'male'))"], "mssql": ["Create table Genders (user_id int, gender VARCHAR(6) NOT NULL CHECK (gender IN ('female', 'other', 'male')))"], "oraclesql": ["Create table Genders (user_id int, gender VARCHAR(6) NOT NULL CHECK (gender IN ('female', 'other', 'male')))"], "database": true, "name": "arrange_table", "pythondata": ["Genders = pd.DataFrame([], columns=['user_id', 'gender']).astype({'user_id':'Int64', 'gender':'object'})"], "postgresql": ["Create table If Not Exists Genders (user_id int, gender VARCHAR(30) CHECK (gender IN ('female', 'other', 'male')))\n"], "database_schema": {"Genders": {"user_id": "INT", "gender": "ENUM('female', 'other', 'male')"}}}
{"mysql": ["MySQL", "<p><code>MySQL 8.0</code>.</p>"], "mssql": ["MS SQL Server", "<p><code>mssql server 2019</code>.</p>"], "oraclesql": ["Oracle", "<p><code>Oracle Sql 11.2</code>.</p>"], "pythondata": ["Pandas", "<p>Python 3.10 with Pandas 2.2.2 and NumPy 1.26.4</p>"], "postgresql": ["PostgreSQL", "<p>PostgreSQL 16</p>"]}
['Database']