Important Announcement: February 4, 2004
Look up table or tabular in Wiktionary, the free dictionary. Table may refer to: Table (information), a data arrangement with rows and columns. Tabular meaning: 1. (of information, especially in printed material) in the form of a table (= an arrangement of. Tabular Editor provides an intuitive hierarchical view of every object in your Tabular Model metadata. Columns, Measures and Hierarchies are arranged in Display Folders by default. You can edit properties of one or more objects, by (multi)selecting them in the tree.
Flagpoles Incorporated located in East Setauket NY is pleased to announce that as of June 2, 2003 it has acquired all of the assets of the former P&K Pole products of Newark NJ. A new Corporation P&K Tubular Products (P&K) has been created in order to continue and improve upon the experience and leadership the name P&K has stood for in the Pole Industry. By combining P&K's 65 years and Flagpoles 35 years of experience in the Pole Industry a new, much stronger organization has been formed. Featuring the entire product catalogue of innovative, outstanding quality and cost effective products that customers have come to expect from the P&K name; P&K Tubular Products and Flagpoles Incorporated look forward to working with our customers as we add a new chapter to the P&K legacy
P&K teamed with Flagpoles Incorporated now has unmatched capability in the manufacture of lighting standards, traffic equipment and tapered shafts. No other Pole Manufacturing facility in the world has a more versatile, larger and high Tech capability.
Whether producing a custom designed ornamental project or supplying exact replacements for a 50 year old installation, P&K has the expertise and capabilities the customer deserves. You may have tried the rest- now come back to the best P&K Tubular.
Visit www.pkpole.com for the P&K online catalog.
Flagpoles Inc
95 Gnarled Hollow Road
P.O.Box 833
East Setauket, N.Y. 11733
Phone 631 751 7788
Fax 631 751 7955
Roadway Lighting | Area LightingMilitary Products | Tapered Tubes | Finishes
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Tabular data can be easily represented in Python using the language’s native objects – e.g. by lists of tuples representing the records of the data set. Though easy to create, these kind of representations typically do not enable important tabular data manipulations, like efficient column selection, matrix mathematics, or spreadsheet-style operations.
Tabular is a package of Python modules for working with tabular data. Its main object is the tabarray class, a data structure for holding and manipulating tabular data. By putting data into a tabarray object, you’ll get a representation of the data that is more flexible and powerful than a native Python representation. More specifically, tabarray provides:
- ultra-fast filtering, selection, and numerical analysis methods, using convenient Matlab-style matrix operation syntax
- spreadsheet-style operations, including row & column operations, ‘sort’, ‘replace’, ‘aggregate’, ‘pivot’, and ‘join’
- flexible load and save methods for a variety of file formats, including delimited text (CSV), binary, and HTML
- sophisticated inference algorithms for determining formatting parameters and data types of input files
- support for hierarchical groupings of columns, both as data structures and file formats
Note to NumPy Users: The tabarray object is based on the ndarray object from the Numerical Python package (NumPy), and the Tabular package is built to interface well with NumPy in general. In particular, users of NumPy can get many of the benefits of Tabular, e.g. the spreadsheet-style operations, without having replace their usual NumPy objects with tabarrays, since most of the useful functional pieces of Tabular are written to work directly on NumPy ndarrays and record arrays (see relationship to NumPy).
Download¶
Download the latest release of tabular from the Python Package Index (PyPi): http://pypi.python.org/pypi/tabular/.
Tabular requires Python 2.6 or higher, but will not work with Python 3k (since NumPy itself is not ported to Py3k). Tabular requires NumPy v1.6 or higher. Any earlier version WILL NOT WORK.
Once these dependencies are installed, you can simply go to the Tabular source directory in your terminal and run the command “python setup.py install” (see Installing Python Modules).
You can also clone our github repository: https://github.com/yamins81/tabular. You can report bugs, make suggestions, submit pull requests, and follow an RSS from our github site.
Quickstart¶
Get started using tabular quickly:
- QuickStart
Reference¶
Tutorial-style reference covering most asepcts of normal usage in some detail.
- The Organization of the Tabular Package
- Creating Tabular Arrays
- Input and Output
- Manipulating Tabular Arrays
- Fast Array Operations
- Web & HTML
Code Documentation¶
Tabular Latex
Detailed documentation for Tabular functions and the tabarray class. See the “Reference” section above for basic usage tutorials and examples. The main class in tabular is tabular.tabarray.tabarray in the tabular.tabarray module. Many of its methods are wrappers for functions contained in the other modules, e.g. the tabarray constructor, tabular.tabarray.tabarray.__new__() is a unified wrapper for the various load methods in the tabular.io module.
Tabular Analysis
Index of functions and modules: