f20f4743da
Tabular data can be easily represented in Python using the language's native objects. These representations typically do not support 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. 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
30 lines
1,016 B
Text
30 lines
1,016 B
Text
@comment $NetBSD: PLIST,v 1.1 2013/06/02 01:47:54 dholland Exp $
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${PYSITELIB}/${EGG_INFODIR}/PKG-INFO
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${PYSITELIB}/${EGG_INFODIR}/SOURCES.txt
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${PYSITELIB}/${EGG_INFODIR}/dependency_links.txt
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${PYSITELIB}/${EGG_INFODIR}/requires.txt
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${PYSITELIB}/${EGG_INFODIR}/top_level.txt
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${PYSITELIB}/tabular/__init__.py
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${PYSITELIB}/tabular/__init__.pyc
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${PYSITELIB}/tabular/__init__.pyo
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${PYSITELIB}/tabular/colors.py
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${PYSITELIB}/tabular/colors.pyc
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${PYSITELIB}/tabular/colors.pyo
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${PYSITELIB}/tabular/fast.py
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${PYSITELIB}/tabular/fast.pyc
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${PYSITELIB}/tabular/fast.pyo
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${PYSITELIB}/tabular/io.py
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${PYSITELIB}/tabular/io.pyc
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${PYSITELIB}/tabular/io.pyo
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${PYSITELIB}/tabular/spreadsheet.py
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${PYSITELIB}/tabular/spreadsheet.pyc
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${PYSITELIB}/tabular/spreadsheet.pyo
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${PYSITELIB}/tabular/tab.py
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${PYSITELIB}/tabular/tab.pyc
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${PYSITELIB}/tabular/tab.pyo
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${PYSITELIB}/tabular/utils.py
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${PYSITELIB}/tabular/utils.pyc
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${PYSITELIB}/tabular/utils.pyo
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${PYSITELIB}/tabular/web.py
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${PYSITELIB}/tabular/web.pyc
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${PYSITELIB}/tabular/web.pyo
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