Hi, Just for clarification: when you say simultaneously you mean 'all three tables concatenated in the order given in the list' or 'one curve per table, all three in the same plot'?
I am going to assume the former. From the point of view of organizing your data, you do really have the option of concatenating them on-disk because queries and slicing off disk are so fast (you can store indexes to relevant slices on another table --my preferred solution--, or dedicate a column to indicate whether a sample belongs in 1, 2, or 3). This is assuming that the file boundary can be smashed, which it probably can't from the way you formulate your question. Be ware that if you have long time series to plot (i.e. what is your sampling rate?) the bottleneck may be in matplotlib, which may be too small for the rendering. In that case what you probably want is to couple the panning events to lazy loading of preceding/succeeding data chunks (I would also be interested in this, btw, if anybody has a recipe). My 2c, -á. On Wed, May 2, 2012 at 2:25 AM, lef...@cnr.colostate.edu <lef...@gmail.com> wrote: > I am just starting to work with python and pytables and have a question for > the group. > > We have multiple HDF5 files, each of which contains 30 seconds of data from > a longer sequence. Rather than merge the data, we'd like to be able to > create a list (or array) of pytables objects and operate on > them simultaneously. For instance we have three h5 data files, each of which > can be opened with the openFile command. > > data_1=tables.openFile(fname_1) > plt.plot(data_1.root.photon.channel001.elev[:]) > > If we define the following list: > > all_data=[data_1, data_2, data_3] > > the we can do the following : > > plt.plot(all_data[0].root.photon.channel001.elev[:]) > > What we'd like to do is plot the data from all three (or more generally, N) > hdf5 files simultaneously: > > plt.plot(all_data[0].root.photon.channel001.elev[:]) > > but this doesn't work. Is there a syntax that will work for this ? > > M > -- > Michael Lefsky > Center for Ecological Applications of Lidar > College of Natural Resources > Colorado State University > http://www.researcherid.com/rid/A-7224-2009 > > If I were creating the world I wouldn't mess about with butterflies and > daffodils. I would have started with lasers, eight o'clock, Day One! - Time > Bandits > > > ------------------------------------------------------------------------------ > 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 > Pytables-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/pytables-users > ------------------------------------------------------------------------------ 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 Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
