Intel® Distribution for Python*
Engage in discussions with community peers related to Python* applications and core computational packages.
413 Discussions

pydaal tables vs pandas frames

Sabih__Muhammad
Beginner
‎05-10-2018 04:17 AM
307 Views

Hi,

I want to load my data into pandas dataframe and give it to gpu for processing. For this situation, the second approach is only using pydaal's tables  and then giving to the GPU for processing.

If my data is homogenous, is there any benefit of using pydaal's tables for storage instead of pandas data frame ?

I am not going to use other functionality of pydaal.  So basically my question is that merely storing your data in pydaal's tables has benefit on its own or not ?

0 Kudos

Link Copied

1 Reply
Oleksandr_P_Intel
Employee
‎05-10-2018 08:55 AM
307 Views

Hi,

The short answer to your question is no. Homogeneous Numeric Table for that purpose is equivalent to storing data in a C array, which you can also store within NumPy array.

0 Kudos
Copy link
Reply

Community support is provided during standard business hours (Monday to Friday 7AM - 5PM PST). Other contact methods are available here.

Intel does not verify all solutions, including but not limited to any file transfers that may appear in this community. Accordingly, Intel disclaims all express and implied warranties, including without limitation, the implied warranties of merchantability, fitness for a particular purpose, and non-infringement, as well as any warranty arising from course of performance, course of dealing, or usage in trade.

For more complete information about compiler optimizations, see our Optimization Notice.