SimpleSQLite 0.10.0

SimpleSQLite is a Python library to simplify SQLite database operations: table creation, data insertion and get data as other data formats.

SimpleSQLite

Summary

SimpleSQLite is a Python library to simplify SQLite database operations: table creation, data insertion and get data as other data formats.

Features

• Automated SQLite table creation from data

• Support various data types of record(s) insertion into a table:

  • dict

  • namedtuple

  • list

  • tuple

• Create table(s) from:

  • CSV file/text

  • JSON file/text

  • pandas.DataFrame instance

  • pytablereader.TableData instance loaded by pytablereader

• Get data from a table as:

  • pandas.DataFrame instance

  • pytablereader.TableData instance

Examples

Create a table

Create a table from data matrix

import json
from simplesqlite import SimpleSQLite

table_name = "sample_table"
con = SimpleSQLite("sample.sqlite", "w")

# create table -----
data_matrix = [
    [1, 1.1, "aaa", 1,   1],
    [2, 2.2, "bbb", 2.2, 2.2],
    [3, 3.3, "ccc", 3,   "ccc"],
]
con.create_table_from_data_matrix(
    table_name,
    attr_name_list=["attr_a", "attr_b", "attr_c", "attr_d", "attr_e"],
    data_matrix=data_matrix)

# display values in the table -----
print(con.get_attr_name_list(table_name))
result = con.select(select="*", table_name=table_name)
for record in result.fetchall():
    print(record)

# display data type for each column in the table -----
print(json.dumps(con.get_attr_type(table_name), indent=4))

['attr_a', 'attr_b', 'attr_c', 'attr_d', 'attr_e']
(1, 1.1, u'aaa', 1.0, u'1')
(2, 2.2, u'bbb', 2.2, u'2.2')
(3, 3.3, u'ccc', 3.0, u'ccc')
{
    "attr_b": " REAL",
    "attr_c": " TEXT",
    "attr_a": " INTEGER",
    "attr_d": " REAL",
    "attr_e": " TEXT"
}

Create a table from CSV

from simplesqlite import SimpleSQLite

with open("sample_data.csv", "w") as f:
    f.write("\n".join([
        '"attr_a","attr_b","attr_c"',
        '1,4,"a"',
        '2,2.1,"bb"',
        '3,120.9,"ccc"',
    ]))

# create table ---
con = SimpleSQLite("sample.sqlite", "w")
con.create_table_from_csv("sample_data.csv")

# output ---
table_name = "sample_data"
print(con.get_attr_name_list(table_name))
result = con.select(select="*", table_name=table_name)
for record in result.fetchall():
    print(record)

['attr_a', 'attr_b', 'attr_c']
(1, 4.0, u'a')
(2, 2.1, u'bb')
(3, 120.9, u'ccc')

Create a table from pandas.DataFrame

from simplesqlite import SimpleSQLite
import pandas

con = SimpleSQLite("pandas_df.sqlite")

con.create_table_from_dataframe(pandas.DataFrame(
    [
        [0, 0.1, "a"],
        [1, 1.1, "bb"],
        [2, 2.2, "ccc"],
    ],
    columns=['id', 'value', 'name']
), table_name="pandas_df")

$ sqlite3 pandas_df.sqlite
sqlite> .schema
CREATE TABLE 'pandas_df' (id INTEGER, value REAL, name TEXT);

Insert records into a table

Insert dictionary

from simplesqlite import SimpleSQLite


table_name = "sample_table"
con = SimpleSQLite("sample.sqlite", "w")
con.create_table_from_data_matrix(
    table_name,
    attr_name_list=["attr_a", "attr_b", "attr_c", "attr_d", "attr_e"],
    data_matrix=[[1, 1.1, "aaa", 1,   1]])

con.insert(
    table_name,
    insert_record={
        "attr_a": 4,
        "attr_b": 4.4,
        "attr_c": "ddd",
        "attr_d": 4.44,
        "attr_e": "hoge",
    }
)
con.insert_many(
    table_name,
    insert_record_list=[
        {
            "attr_a": 5,
            "attr_b": 5.5,
            "attr_c": "eee",
            "attr_d": 5.55,
            "attr_e": "foo",
        },
        {
            "attr_a": 6,
            "attr_c": "fff",
        },
    ]
)

result = con.select(select="*", table_name=table_name)
for record in result.fetchall():
    print(record)

Insert list/tuple/namedtuple

from collections import namedtuple
from simplesqlite import SimpleSQLite


table_name = "sample_table"
con = SimpleSQLite("sample.sqlite", "w")
con.create_table_from_data_matrix(
    table_name,
    attr_name_list=["attr_a", "attr_b", "attr_c", "attr_d", "attr_e"],
    data_matrix=[[1, 1.1, "aaa", 1,   1]])

SampleTuple = namedtuple(
    "SampleTuple", "attr_a attr_b attr_c attr_d attr_e")

con.insert(table_name, insert_record=[7, 7.7, "fff", 7.77, "bar"])
con.insert_many(
    table_name,
    insert_record_list=[
        (8, 8.8, "ggg", 8.88, "foobar"),
        SampleTuple(9, 9.9, "ggg", 9.99, "hogehoge"),
    ]
)

result = con.select(select="*", table_name=table_name)
for record in result.fetchall():
    print(record)

(1, 1.1, u'aaa', 1, 1)
(7, 7.7, u'fff', 7.77, u'bar')
(8, 8.8, u'ggg', 8.88, u'foobar')
(9, 9.9, u'ggg', 9.99, u'hogehoge')

Get Data from a table as pandas DataFrame

from simplesqlite import SimpleSQLite

con = SimpleSQLite("sample.sqlite", "w", profile=True)
header_list = ["a", "b", "c", "d", "e"]
data_matrix = [
    [1, 1.1, "aaa", 1,   1],
    [2, 2.2, "bbb", 2.2, 2.2],
    [3, 3.3, "ccc", 3,   "ccc"],
]

con.create_table_from_data_matrix(
    table_name="sample_table",
    attr_name_list=header_list,
    data_matrix=data_matrix)

print(con.select_as_dataframe(
    column_list=header_list, table_name="sample_table"))

$ sample/select_as_dataframe.py
   a    b    c    d    e
0  1  1.1  aaa  1.0    1
1  2  2.2  bbb  2.2  2.2
2  3  3.3  ccc  3.0  ccc

For more information

More examples are available at http://simplesqlite.rtfd.io/en/latest/pages/examples/index.html

Installation

pip install SimpleSQLite

Dependencies

Python 2.7+ or 3.3+

Mandatory

• DataPropery (Used to extract data types)

• logbook

• mbstrdecoder

• pathvalidate

• pytablereader

• six

• typepy

Test dependencies

• pytest

• pytest-runner

• tox

Documentation

http://simplesqlite.rtfd.io/

Related project

• sqlitebiter: CLI tool to convert CSV/Excel/HTML/JSON/LTSV/Markdown/TSV/Google-Sheets SQLite database by using SimpleSQLite