Thanks, interesting.
The thing is that pandas DataFrames have become a sort of de facto standard 
in manipulating data, at least in my area (econometrics/statistics). For 
those who have not used them yet, DFs are awesome in terms of preparing 
data. Still, I will look into what you suggested - always good to know 
there are other approaches. 

Le mercredi 29 octobre 2014 10:50:26 UTC+1, AndroidHiramash a écrit :
>
> Hi,
>
> A suggestion, even if it is not directly related : generally the "io" 
> module is used, with streams, as high level file objects.
> There you have two solutions :
> - either use paraview. I heard they had a Python API. Why not blend Spyder 
> and Paraview, then...
> - Or use HDF5 format and Python bindings. PyTables, as told on their site, 
> has the reputation to be "blind fast" and efficient at loading while having 
> metadata looking like pandas' dataframes. But there it is up to you at the 
> moment to refill your data into hdf stores, I suppose ? Personnally, the 
> hdf5 format reminds me both hyperspy library and TDMS Labview's technical 
> data format...
> Le 28 oct. 2014 15:20, "Charles Vellutini" <[email protected] 
> <javascript:>> a écrit :
>
>> Hi,
>> The addition of DataFrames as objects that can be viewed (and edited) in 
>> Spyder's Variable Explorer is a fantastic development. Viewing data is 
>> extremely important in serious data analysis and related debugging. With 
>> this addition Spyder approaches the convenience and workability of 
>> dedicated, mature statistical packages such as Stata -- all with the 
>> performance and malleability of python. In my view, a true game changer.
>>
>> Now, I have noticed that the feature does not work well (yet) on large 
>> data sets. On my system (python 3.4, 8 Go RAM), attempting to use the 
>> Variable Explorer with a df with more than say 100,000 rows freezes Spyder 
>> altogether. More work is needed is optimize viewing (load rows/columns only 
>> as they are viewed, or a similar strategy?). Also, I would like to suggest 
>> that viewing is much more important than editing -- in case it helps to 
>> optimize the feature? Editing data through a browser is not something you 
>> normally do - viewing data on the other hand, you do all the time. 
>>
>> Again congratulations on this, I truly believe that this is important for 
>> the python data analysis community.
>>
>>
>>
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