Overview

This section shows a simple example of using Pandemy to write a pandas.DataFrame to a SQLite database and reading it back again.

Save a DataFrame to a table

Let’s create a new SQLite database and save a pandas.DataFrame to it.

overview_save_df.py

# overview_save_df.py

import io
import pandas as pd
import pandemy

# Data to save to the database
data = io.StringIO("""
ItemId,ItemName,MemberOnly,Description
1,Pot,0,This pot is empty.
2,Jug,0,This jug is empty.
3,Shears,0,For shearing sheep.
4,Bucket,0,It's a wooden bucket.
5,Bowl,0,Useful for mixing things.
6,Amulet of glory,1,A very powerful dragonstone amulet.
""")

df = pd.read_csv(filepath_or_buffer=data, index_col='ItemId')  # Create a DataFrame

# SQL statement to create the table Item in which to save the DataFrame df
create_table_item = """
-- The available items in General Stores
CREATE TABLE IF NOT EXISTS Item (
   ItemId      INTEGER,
   ItemName    TEXT    NOT NULL,
   MemberOnly  INTEGER NOT NULL,
   Description TEXT,

   CONSTRAINT ItemPk PRIMARY KEY (ItemId)
);
"""

db = pandemy.SQLiteDb(file='Runescape.db')  # Create the SQLite DatabaseManager instance

with db.engine.connect() as conn:
   db.execute(sql=create_table_item, conn=conn)
   db.save_df(df=df, table='Item', conn=conn)

$ python overview_save_df.py

The database is managed through the DatabaseManager class which is this case is the SQLiteDb instance. Each SQL dialect will be a subclass of DatabaseManager. The creation of the DatabaseManager instance creates the database engine, which is used to create a connection to the database. The engine is created with the sqlalchemy.create_engine() function. The connection is automatically closed when the context manager exits. If the database file does not exist it will be created.

The DatabaseManager.execute() method allows for execution of arbitrary SQL statements such as creating a table. The DatabaseManager.save_df() method saves the DataFrame df to the table Item in the database db by using the pandas.DataFrame.to_sql() method.

Load a table into a DataFrame

The pandas.DataFrame saved to the table Item of the database Runescape.db can easily be read back into a pandas.DataFrame.

overview_load_table.py

# overview_load_table.py

import pandemy

db = pandemy.SQLiteDb(file='Runescape.db', must_exist=True)

sql = """SELECT * FROM Item ORDER BY ItemId;"""  # Query to read back table Item into a DataFrame

with db.engine.connect() as conn:
   df_loaded = db.load_table(sql=sql, conn=conn, index_col='ItemId')

print(df_loaded)

$ python overview_load_table.py

               ItemName  MemberOnly                          Description
ItemId
1                   Pot           0                   This pot is empty.
2                   Jug           0                   This jug is empty.
3                Shears           0                  For shearing sheep.
4                Bucket           0                It's a wooden bucket.
5                  Bowl           0            Useful for mixing things.
6       Amulet of glory           1  A very powerful dragonstone amulet.

If the must_exist parameter is set to True pandemy.DatabaseFileNotFoundError will be raised if the database file is not found. This is useful if you expect the database to exist and you want to avoid creating a new database by mistake if it does not exist.

The DatabaseManager.load_table() method takes either a table name or a SQL statement for the sql parameter and uses the pandas.read_sql() function.