Hi Eraldo,
Indeed Pandas is a really really nice module. If it going to take part of
numpy, that's even better.
Thanks for the suggestion.
All the Best,
Fred
Eraldo Pomponi wrote:
>
> Hi Fred,
>
> Pandas has a nice interface to PyTable if you still need it:
>
> http://pandas.sourceforge.net/
Hi Eraldo,
Indeed, Pandas is a really really nice module! If it is going to take part
of numpy, that's even better.
Thanks for the suggestion.
All the Best,
Fred
Eraldo Pomponi wrote:
>
> Hi Fred,
>
> Pandas has a nice interface to PyTable if you still need it:
>
> http://pandas.sourceforge.
Thanks for the correction.
Good to know! I've got this outdated information from pytable's mailing
list.
Regards,
Fred
David Verelst wrote:
>
> Note that the pytables pro you are referring to is no longer behind a
> pay wall. Recently the project went through some changes and the pro
> versio
Note that the pytables pro you are referring to is no longer behind a
pay wall. Recently the project went through some changes and the pro
versions disappeared. All pro features where merged into the main
project and, are as a consequence, also available for free.
Regards,
David
On 13/12/11 21
Hi Fred,
Pandas has a nice interface to PyTable if you still need it:
http://pandas.sourceforge.net/io.html#hdf5-pytables
However, my intention was just to point you to pandas because it
is really a powerful tool if you need to deal with tabular heterogenic
data. It is also important to notice t
Hi Eraldo,
Thanks for your suggestion. I was using pytables but give up after known
that some very useful capabilities are sold as a professional package.
However, it still useful to many printing and data manipulation and, also,
it can handle extremely large datasets (which is not my case.).
Reg
Hi Fred,
I would suggest you to have a look at pandas (http://pandas.sourceforge.net/)
. It was
really helpful for me. It seems well suited for the type of data that you
are working
with. It has nice "brodcasting" capabilities to apply numpy functions to a
set column.
http://pandas.sourceforge.net
Aronne Merrelli wrote:
>
> I can recreate this error if tab is a structured ndarray - what is the
> dtype of tab?
>
> If that is correct, I think you could fix this by simplifying things.
> Since
> tab is already an ndarray, you should not need to convert it back into a
> python list. By conver
On Sat, Dec 10, 2011 at 5:47 AM, ferreirafm wrote:
>
>
> Hi Stéfan,
> Thanks for your replay. Have a look in the arrays at:
> http://ompldr.org/vYm83ZA
> Regards,
> Fred
> --
I can recreate this error if tab is a structured ndarray - what is the
dtype of tab?
If that is correct, I think you co
Stéfan van der Walt wrote:
>
> When posting to the mailing list, it's a good idea to have a small,
> self contained example (otherwise we can't reproduce your problem).
> In this specific case, I'd like to be able to see what the outputs of
> "print tab" and "print stat_array" are.
>
> Regards
On Fri, Dec 9, 2011 at 11:47 AM, ferreirafm wrote:
>
> Hi everyone,
> I'm quite new to numpy and python either. Could someone, please, tell me
> what I'm doing wrong?
> Here goes my peace of code:
>
> def stats(filename):
> """Utilility to perform some basic statistics on columns."""
> tab =
Hi everyone,
I'm quite new to numpy and python either. Could someone, please, tell me
what I'm doing wrong?
Here goes my peace of code:
def stats(filename):
"""Utilility to perform some basic statistics on columns."""
tab = get_textab(filename)
stat_list = [ ]
for row in sort_tab(
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