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Project Description
Home-page: https://github.com/thombashi/SimpleSQLite
Author: Tsuyoshi Hombashi
Author-email: gogogo.vm@gmail.com
License: MIT License
Description: SimpleSQLite
============

.. image:: https://badge.fury.io/py/SimpleSQLite.svg
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:target: https://travis-ci.org/thombashi/SimpleSQLite
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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 <http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html>`__ instance
- `pytablereader.TableData <http://pytablereader.rtfd.io/en/latest/pages/reference/data.html#tabledata>`__ instance loaded by `pytablereader <https://github.com/thombashi/pytablereader>`__
- Get data from a table as:
- `pandas.DataFrame <http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html>`__ instance
- `pytablereader.TableData <http://pytablereader.rtfd.io/en/latest/pages/reference/data.html#tabledata>`__ instance



Examples
========

Create a table
--------------

Create a table from data matrix
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. code:: python

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))


.. code::

['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
~~~~~~~~~~~~~~~~~~~~~~~

.. code:: python

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)


.. code::

['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
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. code:: python

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")


.. code::

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

Insert records into a table
---------------------------

Insert dictionary
~~~~~~~~~~~~~~~~~

.. code:: python

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
~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. code:: python

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)


.. code::

(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
-----------------------------------------

.. code:: python

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"))


.. code::

$ 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 <https://github.com/thombashi/DataProperty>`__ (Used to extract data types)
- `logbook <http://logbook.readthedocs.io/en/stable/>`__
- `mbstrdecoder <https://github.com/thombashi/mbstrdecoder>`__
- `pathvalidate <https://github.com/thombashi/pathvalidate>`__
- `pytablereader <https://github.com/thombashi/pytablereader>`__
- `six <https://pypi.python.org/pypi/six/>`__
- `typepy <https://github.com/thombashi/typepy>`__


Test dependencies
-----------------

- `pytest <http://pytest.org/latest/>`__
- `pytest-runner <https://pypi.python.org/pypi/pytest-runner>`__
- `tox <https://testrun.org/tox/latest/>`__

Documentation
=============

http://simplesqlite.rtfd.io/

Related project
===============

- `sqlitebiter <https://github.com/thombashi/sqlitebiter>`__: CLI tool to convert CSV/Excel/HTML/JSON/LTSV/Markdown/TSV/Google-Sheets SQLite database by using SimpleSQLite


Keywords: SQLite,CSV,Google Sheets,JSON
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Database
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Release History

Release History

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0.4.1

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Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.3.6

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.3.5

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.3.4

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.3.3

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.3.2

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.3.1

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.3.0

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.2.3

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.2.2

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.2.1

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.2.0

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.1.0

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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Download Files

Download Files

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

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
SimpleSQLite-0.11.0-py2.py3-none-any.whl (22.0 kB) Copy SHA256 Checksum SHA256 py2.py3 Wheel May 28, 2017
SimpleSQLite-0.11.0.tar.gz (42.0 kB) Copy SHA256 Checksum SHA256 Source May 28, 2017

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