Skip to main content

Mac OS X install pytables and h5py

  1. Install tables - need NumPy version 1.6
  2. Get NumPy from sourceforge and install - need Python 2.7
  3. Install python 2.7 on Lion, open new terminal (or refresh path)
  4. curl http://python-distribute.org/distribute_setup.py | python
  5. curl https://raw.github.com/pypa/pip/master/contrib/get-pip.py | python
  6. sudo pip install ipython
  7. sudo pip install tables
  8. need numexpr > 1.4.1, 
  9. Download anc ompile numexpr -> wants to compile using gcc-4.2
  10. sudo ln -s gcc gcc-4.2
  11. sudo pip install cython
  12. Get HDf5 from http://www.hdfgroup.org/ftp/HDF5/current/bin/mac-intel-x86_64/hdf5-1.8.8-mac-intel-x86_64-shared.tar.gz
  13. /configure and compile
  14. Copy the hdf5 folder whereever you want
  15. python setup.py build --hdf5=/path/to/hdf5 (from the unzipped source of h5py)
  16. sudo python setup.py install --hdf5=/usr/local/hdf5/ (in the unzipped dir of pytables)
In contrast, to get h5py working on Ubuntu:

sudo apt-get install libhdf5-serial-dev
 
sudo easy_install h5py 

Comments

  1. Very useful. Suprisingly few links found in google for this issue.

    Thanks a lot.

    ReplyDelete

Post a Comment

Popular posts from this blog

Remove field code from Word document

e.g. before submitting a MS, or hand manipulating some formatting because Word does things (like cross-references) so half-assed [from here ] Select all the text (CTRL-A) Press Ctrl+Shift+F9 Editing to remove anonymous comments that only contain thanks. I really appreciate the thanks, but it makes it harder to find comments that carry pertinent information. I'm also going to try and paste informative comments in the body of the post to make them easier to find.

h5py and multiprocessing

The HDF5 format has been working awesome for me, but I ran into danger when I started to mix it with multiprocessing. It was the worst kind of danger: the intermittent error. Here are the dangers/issues in order of escalation (TL;DR is use a generator to feed data from your file into the child processes as they spawn. It's the easiest way. Read on for harder ways.) An h5py file handle can't be pickled and therefore can't be passed as an argument using pool.map() If you set the handle as a global and access it from the child processes you run the risk of racing which leads to corrupted reads. My personal runin was that my code sometimes ran fine but sometimes would complain that there are NaNs or Infinity in the data. This wasted some time tracking down. Other people have had this kind of problem [ 1 ]. Same problem if you pass the filename and have the different processes open individual instances of the file separately. The hard way to solve this problem is to sw...

Reading spreadsheet data in Python: The lack of a good ODS reader

I try and keep long term data in as simple a format as possible, which means text where ever possible. In earlier times I would enter data in excel spreadsheets and then read them from my Python programs using the xlrd package which is excellent. This works well, but in the back of my mind is the thought that someday Microsoft might do something funny with their business model making office software more janky to use and all my fears about keeping data in proprietary formats would come true. Oh, look, that day is today . So, I'm completely abandoning the MS Office suite and going back to basic text files. However, there is a tension between keeping tabulated data in a simple form, such as csv, and entering it in a convenient manner. Excel, of course, nags you everytime you edit a csv file and save it. Libreoffice is excellent: it handles loading and saving in a very streamlined fashion. However, every time you open up the csv file you need to tell Calc what widths you want...