Re: [Pytables-users] Tables vs Arrays

2013-07-28 Thread Anthony Scopatz
On Sun, Jul 28, 2013 at 8:38 PM, David Reed david.ree...@gmail.com wrote:

 I'm really trying to become more productive using PyTables, but am
 struggling with what I should be using.  Whats the difference between a
 table and an array?


Hi David,

The difference between Arrays and Tables, conceptually is the same as the
different between numpy arrays and numpy structured arrays.  The plain old
[Aa]rray is a continuous block of a single data type.  Tables and
structured arrays have a more complex data type that is composed of a
continuous sequence of other data types (ie the fields / columns).  Which
data structure you use really depends a lot of the type of problem you are
trying to solve and what kinds of questions you want to answer with that
data structure.

That said, the implementation of Tables is far more similar to EArrays than
Arrays.  So a lot of the performance trade offs that you see are similar.

You should watch my HDF5 is for Lovers talk for more generic advice [1].
 I hope this helps!

Be Well
Anthony

1. http://www.youtube.com/watch?v=Nzx0HAd3FiI






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Re: [Pytables-users] Tables vs Arrays

2013-07-28 Thread Francesc Alted
On 7/28/13 9:58 PM, Anthony Scopatz wrote:

 On Sun, Jul 28, 2013 at 8:38 PM, David Reed david.ree...@gmail.com 
 mailto:david.ree...@gmail.com wrote:

 I'm really trying to become more productive using PyTables, but am
 struggling with what I should be using.  Whats the difference
 between a table and an array?


 Hi David,

 The difference between Arrays and Tables, conceptually is the same as 
 the different between numpy arrays and numpy structured arrays.  The 
 plain old [Aa]rray is a continuous block of a single data type. 
  Tables and structured arrays have a more complex data type that is 
 composed of a continuous sequence of other data types (ie the fields / 
 columns).  Which data structure you use really depends a lot of the 
 type of problem you are trying to solve and what kinds of questions 
 you want to answer with that data structure.

 That said, the implementation of Tables is far more similar to EArrays 
 than Arrays.  So a lot of the performance trade offs that you see are 
 similar.

Besides this, another interesting difference is that Tables allow 
queries to be performed in a similar way to relational databases (but 
using a more NumPy-esque syntax).  Here it is some examples:

http://pytables.github.io/cookbook/hints_for_sql_users.html?highlight=query#selecting-data

and you can index columns too:

http://pytables.github.io/cookbook/hints_for_sql_users.html?highlight=query#creating-an-index

so that you can accelerate queries involving indexed columns.

-- 
Francesc Alted


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