Name: [4498] The Carabos crew
Member: 81 months
Authored: 4 videos
Description: `Carabos <http://www.carabos.com>`_ 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

(Showmedo is undergoing major changes. To report any problems viewing the videos please email us and include browser and OS specifics. Cheers - Kyran.)

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.

Got any questions?

Get answers in the ShowMeDo Learners Google Group.

Video statistics:

  • Video's rank shown in the most popular listing
  • Video plays: 4512 (since July 30th)
  • Plays in last week: 14
  • Published: 80 months ago

Thank-yous, questions and comments

If this video tutorial was helpful please take some time to say thank-you to the authors for their hard work. Feel free to ask questions. Let the author know why their video tutorial was useful - what are you learning about? Did the video tutorial save you time? Would you like to see more?

You may also want to see our ShowMeDo Google Group to speak to our active users and authors.

Your email address will not be published.

Show some quick comments >>








All comments excluding tick-boxed quick-comments

23. Aubrey Jackson Mon, 27 Sep 2010 17:31

Fine video tutorial


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. wouter peters Tue, 27 Jul 2010 01:41

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


Excellent once again!


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. Joe Murdzek Sat, 24 Apr 2010 09:43

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

Many Thanks for your hard work


Great tool, nice presentation


16. Mark Marlett 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.


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


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


13. Åsmund Hjulstad 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.

Regards

Richard


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


Video published, thanks for contributing to ShowMeDo


Showmedo is a peer-produced video-tutorials and screencasts site for free and open-source software (FOSS)- with the exception of some club videos, the large majority are free to watch and download.

how to help » about » faq »

Educating the Open-source Community With Showmedo

Although as important as the software it supports, education and documentation are relatively neglected in the Open-source world. Coders love to code, and explaining how best to use or improve the software tends to be deferred or even sidelined.

At Showmedo we believe the community can play a vital role here and also say thanks for the tools and software that make our lives easier. If you have a piece of software you love or a programming langugage you are enthusiastic about, why not make a screencast showing others how to use it? All the stuff you wish you'd been told, the tips, tricks, insights that would have saved you time and frustration.

Screencasting is easier than you think, and we're happy to help you. You can emailus for advice or just use some of the how-to screencasts on the site. This screencasting learning-pathis a good place to start.

Kudos and Thanks for The

By the Same Author

Content

Feedback

Showmedo's development is fairly rapid and bugs will inevitably creep in. If you have any problems please drop us a line using the contact address below. Likewise, any suggestions for improvements to the site are gratefully received.

feedback@showmedo.com