This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
Latest Version Dependencies status unknown Test status unknown Test coverage unknown
Project Description

When we search for ordinary written documents, we send words into a search engine and get pages of words back.

What if we could search for spreadsheets by sending spreadsheets into a search engine and getting spreadsheets back? The order of the results would be determined by various specialized statistics; just as we use PageRank to find relevant hypertext documents, we can develop other statistics that help us find relevant spreadsheets. Read more here

Indexing

To index a new spreadsheet, run this.

, --index [csv file]

For example,

, --index /home/tlevine/Math Scores 2009 Copy (1).csv \
  http://opendata.comune.bari.it/storage/f/2013-09-02T163858/2012_comune_assessori.csv

Caches from the indexing process are stored in the ~/., directory.

By default, CSV files that have already been indexed will be skipped; to index the same CSV file again, run with the --force or -f option.

, --index --force [csv file]

Once you have indexed a bunch of CSV files, you can search.

, [csv file]

You’ll see a bunch of data tables as results.

$ , 'Math Scores 2009.csv'
/home/tlevine/math-scores-2010-gender.csv
/home/tlevine/Math Scores 2009.csv
/home/tlevine/Math Scores 2009 Copy (1).csv
/home/tlevine/math-scores-2009-ethnicity.csv
http://opendata.comune.bari.it/storage/f/2013-09-02T163858/2012_comune_assessori.csv
mysql://bob:password@localhost/schools

To do

  • Add non-exact column matches so that there can be more matches.
  • Store distributions of values (collections.Counter objects) instead of just distinct values (set objects) so that I can run more interesting comparisons.
  • Store a preview of the table in the db or load it from the cache so that the web interface can show the preview.
Release History

Release History

0.0.3

This version

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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0.0.2

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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0.0.1

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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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
commasearch-0.0.3.tar.gz (5.2 kB) Copy SHA256 Checksum SHA256 Source Jun 5, 2014

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