Answers for "create database sqlite pyhton"

0

create sqlite database python

import sqlite3

conn = sqlite3.connect('TestDB.db')  # You can create a new database by changing the name within the quotes
c = conn.cursor() # The database will be saved in the location where your 'py' file is saved

# Create table - CLIENTS
c.execute('''CREATE TABLE CLIENTS
             ([generated_id] INTEGER PRIMARY KEY,[Client_Name] text, [Country_ID] integer, [Date] date)''')
          
# Create table - COUNTRY
c.execute('''CREATE TABLE COUNTRY
             ([generated_id] INTEGER PRIMARY KEY,[Country_ID] integer, [Country_Name] text)''')
        
# Create table - DAILY_STATUS
c.execute('''CREATE TABLE DAILY_STATUS
             ([Client_Name] text, [Country_Name] text, [Date] date)''')
                 
conn.commit()

# Note that the syntax to create new tables should only be used once in the code (unless you dropped the table/s at the end of the code). 
# The [generated_id] column is used to set an auto-increment ID for each record
# When creating a new table, you can add both the field names as well as the field formats (e.g., Text)
Posted by: Guest on April-21-2021
0

create sqlite database and table in python

import sqlite3
from sqlite3 import Error


def create_connection(db_file):
    """ create a database connection to the SQLite database
        specified by db_file
    :param db_file: database file
    :return: Connection object or None
    """
    conn = None
    try:
        conn = sqlite3.connect(db_file)
        return conn
    except Error as e:
        print(e)

    return conn


def create_table(conn, create_table_sql):
    """ create a table from the create_table_sql statement
    :param conn: Connection object
    :param create_table_sql: a CREATE TABLE statement
    :return:
    """
    try:
        c = conn.cursor()
        c.execute(create_table_sql)
    except Error as e:
        print(e)


def main():
    database = r"C:sqlitedbpythonsqlite.db"

    sql_create_projects_table = """ CREATE TABLE IF NOT EXISTS projects (
                                        id integer PRIMARY KEY,
                                        name text NOT NULL,
                                        begin_date text,
                                        end_date text
                                    ); """

    sql_create_tasks_table = """CREATE TABLE IF NOT EXISTS tasks (
                                    id integer PRIMARY KEY,
                                    name text NOT NULL,
                                    priority integer,
                                    status_id integer NOT NULL,
                                    project_id integer NOT NULL,
                                    begin_date text NOT NULL,
                                    end_date text NOT NULL,
                                    FOREIGN KEY (project_id) REFERENCES projects (id)
                                );"""

    # create a database connection
    conn = create_connection(database)

    # create tables
    if conn is not None:
        # create projects table
        create_table(conn, sql_create_projects_table)

        # create tasks table
        create_table(conn, sql_create_tasks_table)
    else:
        print("Error! cannot create the database connection.")


if __name__ == '__main__':
    main()Code language: Python (python)
Posted by: Guest on May-08-2021
0

create sqlite database python

import sqlite3
import pandas as pd
from pandas import DataFrame

conn = sqlite3.connect('TestDB.db')  
c = conn.cursor()

read_clients = pd.read_csv (r'C:UsersRonDesktopClientClient_14-JAN-2019.csv')
read_clients.to_sql('CLIENTS', conn, if_exists='append', index = False) # Insert the values from the csv file into the table 'CLIENTS' 

read_country = pd.read_csv (r'C:UsersRonDesktopClientCountry_14-JAN-2019.csv')
read_country.to_sql('COUNTRY', conn, if_exists='replace', index = False) # Replace the values from the csv file into the table 'COUNTRY'

# When reading the csv:
# - Place 'r' before the path string to read any special characters, such as ''
# - Don't forget to put the file name at the end of the path + '.csv'
# - Before running the code, make sure that the column names in the CSV files match with the column names in the tables created and in the query below
# - If needed make sure that all the columns are in a TEXT format

c.execute('''
INSERT INTO DAILY_STATUS (Client_Name,Country_Name,Date)
SELECT DISTINCT clt.Client_Name, ctr.Country_Name, clt.Date
FROM CLIENTS clt
LEFT JOIN COUNTRY ctr ON clt.Country_ID = ctr.Country_ID
          ''')

c.execute('''
SELECT DISTINCT *
FROM DAILY_STATUS
WHERE Date = (SELECT max(Date) FROM DAILY_STATUS)
          ''')
   
#print(c.fetchall())

df = DataFrame(c.fetchall(), columns=['Client_Name','Country_Name','Date'])
print (df) # To display the results after an insert query, you'll need to add this type of syntax above: 'c.execute(''' SELECT * from latest table ''')

df.to_sql('DAILY_STATUS', conn, if_exists='append', index = False) # Insert the values from the INSERT QUERY into the table 'DAILY_STATUS'

# export_csv = df.to_csv (r'C:UsersRonDesktopClientexport_list.csv', index = None, header=True) # Uncomment this syntax if you wish to export the results to CSV. Make sure to adjust the path name
# Don't forget to add '.csv' at the end of the path (as well as r at the beg to address special characters)
Posted by: Guest on April-21-2021

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