Skip to main content

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

Project description

SimpleSQLite

Summary

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

https://badge.fury.io/py/SimpleSQLite.svg https://img.shields.io/pypi/pyversions/SimpleSQLite.svg Linux CI test status https://img.shields.io/appveyor/ci/thombashi/simplesqlite/master.svg?label=Windows https://coveralls.io/repos/github/thombashi/SimpleSQLite/badge.svg?branch=master https://img.shields.io/github/stars/thombashi/SimpleSQLite.svg?style=social&label=Star

Features

Examples

Create a table

Create a table from data matrix

Sample Code:
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.fetch_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.fetch_attr_type(table_name), indent=4))
Output:
['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

Sample Code:
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.fetch_attr_name_list(table_name))
result = con.select(select="*", table_name=table_name)
for record in result.fetchall():
    print(record)
Output:
['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

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

Insert records into a table

Insert dictionary

Sample Code:
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,
    record={
        "attr_a": 4,
        "attr_b": 4.4,
        "attr_c": "ddd",
        "attr_d": 4.44,
        "attr_e": "hoge",
    })
con.insert_many(
    table_name,
    row_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)
Output:
(1, 1.1, 'aaa', 1, 1)
(4, 4.4, 'ddd', 4.44, 'hoge')
(5, 5.5, 'eee', 5.55, 'foo')
(6, None, 'fff', None, None)

Insert list/tuple/namedtuple

Sample Code:
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, record=[7, 7.7, "fff", 7.77, "bar"])
con.insert_many(
    table_name,
    row_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)
Output:
(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

Sample Code:
from simplesqlite import SimpleSQLite

con = SimpleSQLite("sample.sqlite", "w", profile=True)

con.create_table_from_data_matrix(
    table_name="sample_table",
    attr_name_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"],
    ])

print(con.select_as_dataframe(table_name="sample_table"))
Output:
$ 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 3.4+

Mandatory Dependencies

Optional Dependencies

Test Dependencies

Documentation

http://simplesqlite.rtfd.io/

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

SimpleSQLite-0.27.1.tar.gz (48.0 kB view hashes)

Uploaded Source

Built Distribution

SimpleSQLite-0.27.1-py2.py3-none-any.whl (22.8 kB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page