Name: [4498] The Carabos crew
Member: 101 months
Authored: 4 videos
Description: `Carabos <>`_ is the name of a cooperative composed by a group of computer professionals that enjoy making high quality, industrial-strength software to solve challenging business and scientific problems. Our focus is on developing and offering support services on software m ...

Working with tables under PyTables [ID:668] (2/2)

in series: PyTables Tutorials

video tutorial by The Carabos crew, added 04/08

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PyTables is a Free Software solution that brings together Python, HDF5 and NumPy to enable you to efficiently and easily handle extremely large amounts of data.

This video explains how to work with tables, PyTables' main data container. It shows how to describe the structure of a table, how to create a table, iterate over it and access it by blocks, how to handle big tables and how to perform a query on a table.

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  • Published: 100 months ago

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23. Ed Lynch Mon, 27 Sep 2010 17:31

Fine video tutorial

22. Balenciaga Medium Classic Metallic Edge City Black Satchel Thu, 05 Aug 2010 13:10

great video, thank you! Though, looking at large datasets in the terminal seems less useful than graphically plotting them.

I am most curious on how to get matplotlib and pytables to play nice with each other (think histograms) for tables on the order of several tera-bytes.

21. islfabcl Tue, 27 Jul 2010 01:41

Very nice video with clear instructions. I am excited to try pytables now. Thanks for your effort!

20. mbt clogs damen Tue, 08 Jun 2010 10:42

Excellent once again!

19. cheap oakley sunglasses Mon, 03 May 2010 06:16

following this tutorial I get the following error:

class SensorMeasurement(IsDescription):

id = Int64Col(pos=0)

pos = Float32Col(shape=3, pos=1)

tstart= Time32Col(pos=2)

tend = Time32Col(pos=3)

kind = StringCol(itemsize=16, dflt="temperature", pos=4)

value = FloatCol(pos=5)

sensors = hdf5.createGroup('/', 'sensors', SensorMeasurement)

I get a PickleError:

PicklingError: Can't pickle <class 'tables.description.SensorMeasurement'>: attribute lookup tables.description.SensorMeasurement failed

I'm running pytables 2.1.2 and python 2.6

18. sandals birkenstock Sat, 24 Apr 2010 09:43

Great demo! -- I am very excited to start playing with this module.

Many Thanks for your hard work

17. cheap oakley sunglasses wholesale Wed, 21 Apr 2010 06:31

Great tool, nice presentation

16. marinir seo jasa seo Tue, 16 Mar 2010 10:29

Thank you very much. I've been using python and numpy for 4 years and woder how to handle huge datasets. Your video taught me some essential items of pyTables and now I can try them out.

15. marinir seo Wed, 03 Mar 2010 01:35

Thank you. Excellent tutorial. I am using PyTables in my current project :)

14. blackhawks 2009 winter classic jersey Sat, 23 Jan 2010 14:25

The videos are a good introduction. I would like to see more information on adding new data to existing arrays.

13. Francesles Tue, 19 Jan 2010 07:17

Instructional and easy to follow, thanks.

12. anonymous Thu, 31 Dec 2009 20:36

very informative video, thanks!

11. anonymous Sun, 20 Dec 2009 11:47

good presentation!

10. anonymous Thu, 12 Nov 2009 10:23

Absolutely excellent. Saved me having to download install, read docs etc. just to decide whether it was useful for my purposes (which it definitely is!)

9. anonymous Thu, 05 Nov 2009 17:20

Very helpful screencasts. Gave me a good taste for what PyTables and the HDF5 format has to offer for storage and retrieval of large datasets, very applicable to my current work. Thanks very much.



8. anonymous Fri, 25 Sep 2009 10:20

Thank you, nice introduction to PyTables!

7. anonymous Thu, 18 Jun 2009 11:38

The 2 short video clips are a great way to jumpstart using pytables. Thanks also for pointing out using ipython for easier interactive use.

6. anonymous Mon, 25 May 2009 15:21

Excellent as quick introduction to the capabilities of PyTables.

3. anonymous Sun, 08 Feb 2009 12:03

Thank you for the screencast, I think I'll start to use pytables!

audio is messed up in this one

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