Metadata-Version: 2.0
Name: pytablereader
Version: 0.12.5
Summary: A Python library to load structured table data from files/strings/URL with various data format: CSV/Excel/Google-Sheets/HTML/JSON/LTSV/Markdown/SQLite/TSV.
Requires-Dist: beautifulsoup4 (>=4.6.0)
Requires-Dist: DataProperty (>=0.25.1)
Requires-Dist: jsonschema (>=2.6.0)
Requires-Dist: logbook
Requires-Dist: markdown2 (>=2.3.4)
Requires-Dist: mbstrdecoder
Requires-Dist: pathvalidate (>=0.16.0)
Requires-Dist: path.py (>=10.3.1)
Requires-Dist: pyparsing (>=2.2.0)
Requires-Dist: requests (>=2.18.1)
Requires-Dist: SimpleSQLite (>=0.12.1)
Requires-Dist: six
Requires-Dist: typepy (>=0.0.14)
Requires-Dist: urllib3 (<1.22)
Requires-Dist: xlrd (>=1.0.0)
Requires-Dist: enum34

Home-page: https://github.com/thombashi/pytablereader
Author: Tsuyoshi Hombashi
Author-email: tsuyoshi.hombashi@gmail.com
License: MIT License
Description: pytablereader
        =============
        
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        Summary
        -------
        
        A Python library to load structured table data from files/strings/URL with various data format: CSV/Excel/Google-Sheets/HTML/JSON/LTSV/Markdown/SQLite/TSV.
        
        Features
        --------
        
        - Extract structured tabular data from various data format:
            - CSV
            - Microsoft Excel :superscript:`TM` file
            - `Google Sheets <https://www.google.com/intl/en_us/sheets/about/>`_
            - HTML
            - JSON
            - `Labeled Tab-separated Values (LTSV) <http://ltsv.org/>`__
            - Markdown
            - MediaWiki
            - SQLite database file
            - Tab separated values (TSV)
        - Supported data sources are:
            - Files on a local file system
            - Accessible URLs
            - ``str`` instances
        - Loaded table data can be used as:
            - `pandas.DataFrame <http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html>`__ instance
            - ``dict`` instance
        
        Examples
        ========
        
        Load a CSV table
        ----------------
        
        :Sample Code:
            .. code:: 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.dump_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.dump_tabledata(table_data)),
                    ]))
        
        
        :Output:
            .. code::
        
                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:: python
        
                from pytablereader import TableData
        
                TableData(
                    table_name="sample",
                    header_list=["a", "b"],
                    record_list=[[1, 2], [3.3, 4.4]]
                ).as_dataframe()
        
        
        :Output:
            .. code::
        
                     a    b
                0    1    2
                1  3.3  4.4
        
        For more information
        --------------------
        
        More examples are available at 
        http://pytablereader.rtfd.io/en/latest/pages/examples/index.html
        
        Installation
        ============
        
        ::
        
            pip install pytablereader
        
        
        Dependencies
        ============
        
        Python 2.7+ or 3.3+
        
        Mandatory Python packages
        ----------------------------------
        - `beautifulsoup4 <https://www.crummy.com/software/BeautifulSoup/>`__
        - `DataPropery <https://github.com/thombashi/DataProperty>`__ (Used to extract data types)
        - `jsonschema <https://github.com/Julian/jsonschema>`__
        - `mbstrdecoder <https://github.com/thombashi/mbstrdecoder>`__
        - `pathvalidate <https://github.com/thombashi/pathvalidate>`__
        - `path.py <https://github.com/jaraco/path.py>`__
        - `requests <http://python-requests.org/>`__
        - `six <https://pypi.python.org/pypi/six/>`__
        - `typepy <https://github.com/thombashi/typepy>`__
        - `xlrd <https://github.com/python-excel/xlrd>`__
        
        Optional Python packages
        ------------------------------------------------
        - `pypandoc <https://github.com/bebraw/pypandoc>`__
            - required when loading MediaWiki file
        - `pandas <http://pandas.pydata.org/>`__
            - required to get table data as a pandas data frame
        
        Optional packages (other than Python packages)
        ------------------------------------------------
        - `lxml <http://lxml.de/installation.html>`__ (faster HTML convert if installed)
        - `pandoc <http://pandoc.org/>`__ (required when loading MediaWiki file)
        
        
        Test dependencies
        -----------------
        - `pytablewriter <https://github.com/thombashi/pytablewriter>`__
        - `pytest <http://pytest.org/latest/>`__
        - `pytest-runner <https://pypi.python.org/pypi/pytest-runner>`__
        - `tox <https://testrun.org/tox/latest/>`__
        - `XlsxWriter <http://xlsxwriter.readthedocs.io/>`__
        
        Documentation
        =============
        
        http://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``.
        
        
Keywords: table,reader,pandas,CSV,Excel,HTML,JSON,LTSV,Markdown,MediaWiki,TSV,SQLite
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
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
