.. contents:: pytablereader :backlinks: top :depth: 2

Summary

pytablereader <https://github.com/thombashi/pytablereader>__ is a Python library to load structured table data from files/strings/URL with various data format: CSV / Excel / Google-Sheets / HTML / JSON / LDJSON / LTSV / Markdown / SQLite / TSV.

.. image:: https://badge.fury.io/py/pytablereader.svg :target: https://badge.fury.io/py/pytablereader :alt: PyPI package version

.. image:: https://img.shields.io/pypi/pyversions/pytablereader.svg :target: https://pypi.org/project/pytablereader :alt: Supported Python versions

.. image:: https://img.shields.io/pypi/implementation/pytablereader.svg :target: https://pypi.org/project/pytablereader :alt: Supported Python implementations

.. image:: https://github.com/thombashi/pytablereader/actions/workflows/lint_and_test.yml/badge.svg :target: https://github.com/thombashi/pytablereader/actions/workflows/lint_and_test.yml :alt: CI status of Linux/macOS/Windows

.. image:: https://coveralls.io/repos/github/thombashi/pytablereader/badge.svg?branch=master :target: https://coveralls.io/github/thombashi/pytablereader?branch=master :alt: Test coverage

.. image:: https://github.com/thombashi/pytablereader/actions/workflows/github-code-scanning/codeql/badge.svg :target: https://github.com/thombashi/pytablereader/actions/workflows/github-code-scanning/codeql :alt: CodeQL

Features

• Extract structured tabular data from various data format:
  • CSV / Tab separated values (TSV) / Space separated values (SSV)
  • Microsoft Excel :superscript:TM file
  • Google Sheets <https://www.google.com/intl/en_us/sheets/about/>_
  • HTML (table tags)
  • JSON
  • Labeled Tab-separated Values (LTSV) <http://ltsv.org/>__
  • Line-delimited JSON(LDJSON) <https://en.wikipedia.org/wiki/JSON_streaming#Line-delimited_JSON>__ / NDJSON / JSON Lines
  • Markdown
  • MediaWiki
  • SQLite database file
• Supported data sources are:
  • Files on a local file system
  • Accessible URLs
  • str instances
• Loaded table data can be used as:
  • pandas.DataFrame <https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html>__ instance
  • dict instance

Examples

Load a CSV table

:Sample Code: .. code-block:: python

    import pytablereader as ptr
    import pytablewriter as ptw


    # prepare data ---
    file_path = "sample_data.csv"
    csv_text = "\n".join([
        '"attr_a","attr_b","attr_c"',
        '1,4,"a"',
        '2,2.1,"bb"',
        '3,120.9,"ccc"',
    ])

    with open(file_path, "w") as f:
        f.write(csv_text)

    # load from a csv file ---
    loader = ptr.CsvTableFileLoader(file_path)
    for table_data in loader.load():
        print("\n".join([
            "load from file",
            "==============",
            "{:s}".format(ptw.dumps_tabledata(table_data)),
        ]))

    # load from a csv text ---
    loader = ptr.CsvTableTextLoader(csv_text)
    for table_data in loader.load():
        print("\n".join([
            "load from text",
            "==============",
            "{:s}".format(ptw.dumps_tabledata(table_data)),
        ]))

:Output: .. code-block::

    load from file
    ==============
    .. table:: sample_data

        ======  ======  ======
        attr_a  attr_b  attr_c
        ======  ======  ======
             1     4.0  a
             2     2.1  bb
             3   120.9  ccc
        ======  ======  ======

    load from text
    ==============
    .. table:: csv2

        ======  ======  ======
        attr_a  attr_b  attr_c
        ======  ======  ======
             1     4.0  a
             2     2.1  bb
             3   120.9  ccc
        ======  ======  ======

Get loaded table data as pandas.DataFrame instance

:Sample Code: .. code-block:: python

    import pytablereader as ptr

    loader = ptr.CsvTableTextLoader(
        "\n".join([
            "a,b",
            "1,2",
            "3.3,4.4",
        ]))
    for table_data in loader.load():
        print(table_data.as_dataframe())

:Output: .. code-block::

         a    b
    0    1    2
    1  3.3  4.4

For more information

More examples are available at https://pytablereader.rtfd.io/en/latest/pages/examples/index.html

Installation

Install from PyPI

::

pip install pytablereader

Some of the formats require additional dependency packages, you can install the dependency packages as follows:

• Excel
  • pip install pytablereader[excel]
• Google Sheets
  • pip install pytablereader[gs]
• Markdown
  • pip install pytablereader[md]
• Mediawiki
  • pip install pytablereader[mediawiki]
• SQLite
  • pip install pytablereader[sqlite]
• Load from URLs
  • pip install pytablereader[url]
• All of the extra dependencies
  • pip install pytablereader[all]

Install from PPA (for Ubuntu)

::

sudo add-apt-repository ppa:thombashi/ppa
sudo apt update
sudo apt install python3-pytablereader

Dependencies

• Python 3.7+
• Python package dependencies (automatically installed) <https://github.com/thombashi/pytablereader/network/dependencies>__

Optional Python packages

• logging extras
  • loguru <https://github.com/Delgan/loguru>__: Used for logging if the package installed
• excel extras
  • excelrd <https://github.com/thombashi/excelrd>__
• md extras
  • Markdown <https://github.com/Python-Markdown/markdown>__
• mediawiki extras
  • pypandoc <https://github.com/bebraw/pypandoc>__
• sqlite extras
  • SimpleSQLite <https://github.com/thombashi/SimpleSQLite>__
• url extras
  • retryrequests <https://github.com/thombashi/retryrequests>__
• pandas <https://pandas.pydata.org/>__
  • required to get table data as a pandas data frame
• lxml <https://lxml.de/installation.html>__

Optional packages (other than Python packages)

• libxml2 (faster HTML conversion)
• pandoc <https://pandoc.org/>__ (required when loading MediaWiki file)

Documentation

https://pytablereader.rtfd.io/

Related Project

• pytablewriter <https://github.com/thombashi/pytablewriter>__
  • Tabular data loaded by pytablereader can be written another tabular data format with pytablewriter.

Sponsors

.. image:: https://avatars.githubusercontent.com/u/44389260?s=48&u=6da7176e51ae2654bcfd22564772ef8a3bb22318&v=4 :target: https://github.com/chasbecker :alt: Charles Becker (chasbecker) .. image:: https://avatars.githubusercontent.com/u/46711571?s=48&u=57687c0e02d5d6e8eeaf9177f7b7af4c9f275eb5&v=4 :target: https://github.com/Arturi0 :alt: onetime: Arturi0 .. image:: https://avatars.githubusercontent.com/u/3658062?s=48&v=4 :target: https://github.com/b4tman :alt: onetime: Dmitry Belyaev (b4tman)

Become a sponsor <https://github.com/sponsors/thombashi>__