============== metapack-build ============== Install ======= Install the Metapack package from PiPy with: .. code-block:: bash $ pip install metapack-build Quick Start =========== Generate a new Metapack package with examples: .. code-block:: bash $ mp new -o metatab.org -d tutorial -L -E -T "Quickstart Example Package" You now have a Metapack package in the :file:`metatab.org-tutorial` directory, with two example data resources. Build the data packages with: .. code-block:: bash $ mp build metatab.org-tutorial/ -f -e -z Now the :file:`metatab.org-tutorial/_packages` directory has a Zip, Excel and Filesystem package, along with links to each package's unversioned name. Explore the schema for one of the built packages with: .. code-block:: bash $ cd metatab.org-tutorial/_packages/ $ mp info -s metatab.org-tutorial-1.zip#random_names And dump a sample of the data for a resource in a table format: .. code-block:: bash $ mp run -T metatab.org-tutorial-1.zip#random_names Also, open the Excel package (metatab.org-tutorial-1.xlsx) to see the pretty formatting of the metadata, and the generated HTML documentation in :file:`metatab.org-tutorial-1/index.html` That's just a quick preview of how the system works. For more details see :doc:`build/GettingStarted`. Contents ======== .. toctree:: :maxdepth: 2 Getting Started Generating Rows Altering rows with transforms Geographic data Basic Data Wranging License Authors Changelog Module Reference CLI Commands ============ .. toctree:: :maxdepth: 1 commands Indices and tables ================== * :ref:`genindex` * :ref:`modindex` * :ref:`search` .. _toctree: http://www.sphinx-doc.org/en/master/usage/restructuredtext/directives.html .. _reStructuredText: http://www.sphinx-doc.org/en/master/usage/restructuredtext/basics.html .. _references: http://www.sphinx-doc.org/en/stable/markup/inline.html .. _Python domain syntax: http://sphinx-doc.org/domains.html#the-python-domain .. _Sphinx: http://www.sphinx-doc.org/ .. _Python: http://docs.python.org/ .. _Numpy: http://docs.scipy.org/doc/numpy .. _SciPy: http://docs.scipy.org/doc/scipy/reference/ .. _matplotlib: https://matplotlib.org/contents.html# .. _Pandas: http://pandas.pydata.org/pandas-docs/stable .. _Scikit-Learn: http://scikit-learn.org/stable .. _autodoc: http://www.sphinx-doc.org/en/stable/ext/autodoc.html .. _Google style: https://github.com/google/styleguide/blob/gh-pages/pyguide.md#38-comments-and-docstrings .. _NumPy style: https://numpydoc.readthedocs.io/en/latest/format.html .. _classical style: http://www.sphinx-doc.org/en/stable/domains.html#info-field-lists