From: Juan M. V. T. <jmv...@gm...> - 2012-08-05 22:15:24
|
Thank you Antonio, I will try Cheers Juanma El Aug 5, 2012, a las 17:32, Antonio Valentino <ant...@ti...> escribió: > Hi Juan Manuel, > > Il 05/08/2012 22:52, Juan Manuel Vázquez Tovar ha scritto: >> Hi Antonio, >> >> This is the piece of code I use to read the part of the table I need: >> >> data = [case[´loads´][i] for case in table] >> >> where i is the index of the row that I need to read from the matrix (133x6) >> stored in each cell of the column "loads". >> >> Juanma >> > > that looks perfectly fine to me. > No idea about what could be the issue :/ > > You can perfform patrial reads using Table.iterrows: > > data = [case[´loads´][i] for case in table.iterrows(start, stop)] > > Please also consider that using a single np.array with 1e8 rows instead > of a list of arrays will allows you to save the memory overhead of 1e8 > array objects. > Considering that 6 doubles are 48 bytes while an empty np.array takes 80 > bytes > > In [64]: sys.getsizeof(np.zeros((0,))) > Out[64]: 80 > > you should be able to reduce the memory footprint by far more than an half. > > > cheers > > >> 2012/8/5 Antonio Valentino <ant...@ti...> >> >>> Hi Juan Manuel, >>> >>> Il 05/08/2012 22:28, Juan Manuel Vázquez Tovar ha scritto: >>>> Hi Antonio, >>>> >>>> You are right, I don´t need to load the entire table into memory. >>>> The fourth column has multidimensional cells and when I read a single row >>>> from every cell in the column, I almost fill the workstation memory. >>>> I didn´t expect that process to use so much memory, but the fact is that >>> it >>>> uses it. >>>> May be I didn´t explain very well last time. >>>> >>>> Thank you, >>>> >>>> Juanma >>>> >>> >>> Sorry, still don't understand. >>> Can you please post a short code snipped that shows how exactly do you >>> read data into your program? >>> >>> My impression is that somewhere you use some instruction that triggers >>> loading of unnecessary data into memory. > > > -- > Antonio Valentino > > ------------------------------------------------------------------------------ > Live Security Virtual Conference > Exclusive live event will cover all the ways today's security and > threat landscape has changed and how IT managers can respond. Discussions > will include endpoint security, mobile security and the latest in malware > threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ > _______________________________________________ > Pytables-users mailing list > Pyt...@li... > https://lists.sourceforge.net/lists/listinfo/pytables-users |