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Re: gEDA-user: 2 make errors installing gwave
Hi Dan and all,
On Samstag, 1. Dezember 2007, Dan McMahill wrote:
> Werner Hoch wrote:
> > Yes, but I'd still would like to have a "standard" binary format.
> > hdf5 would be nice.
> > http://hdf.ncsa.uiuc.edu/products/hdf5/index.html
>
> How well to ascii output files scale when you want to write out
> 30,000 node voltages and be able to pick out one to plot without it
> taking a long time? I don't know the answer, but it seems like a
> binary format could have advantages there.
>
> Like Werner, I've also wondered about hdf5 since there is a library
> available for it and octave and I believe scilab both support it.
I guess nearly every math package supports hdf5. A quick google search
tells that you have support for R, ruby, python, perl, ...
Appended is a short python script that writes a table using the pytables
modul. It takes 10 seconds to write a table with 1 million entries and
creates a file with ~60MB.
> My
> weak understanding of hdf5 is that it would meet some of the
> requirements for a simulator output file (you can write many
> variables a sample at a time instead of .mat file where you write all
> the samples of 1 variable followed by all the samples of another).
That's right.
> It also appears that it would not nearly be enough to just say "hdf5"
> but you'd have to further specify the file format.
Yes, but it's quit easy doing it in the hierarchical structur of hdf5:
simulation_n --> plot_n --> table
or
simulation_n --> plot_n --> metadata
simulation_n --> plot_n --> vector_n
> In terms of commercial simulators, it is annoying as all get out that
> they insist on wanting to use their own proprietary binary formats
> for results because sometimes you really want to get the data into a
> different tool. grrrrrr. This is clearly an area where geda can
> hands down win just by documenting the file format used.
Fully agreed.
Regards
Werner
#!/usr/bin/python
from tables import *
# Define a user record to characterize some kind of particles
class Particle(IsDescription):
name = StringCol(30) # 16-character String
idnumber = Int64Col() # Signed 64-bit integer
ADCcount = UInt16Col() # Unsigned short integer
TDCcount = UInt8Col() # unsigned byte
grid_i = Int32Col() # integer
grid_j = Int32Col() # integer
pressure = Float32Col() # float (single-precision)
energy = FloatCol() # double (double-precision)
filename="largetable.hdf5"
# Open a file in "w"rite mode
h5file = openFile(filename, mode = "w", title = "Test file")
# Create a new group under "/" (root)
group = h5file.createGroup("/", 'detector', 'Detector information')
# Create one table on it
table = h5file.createTable(group, 'readout', Particle, "Readout example")
# Fill the table with 10 particles
particle = table.row
for i in xrange(1000000):
particle['name'] = 'Particle: %6d' % (i)
particle['TDCcount'] = i % 256
particle['ADCcount'] = (i * 256) % (1 << 16)
particle['grid_i'] = i
particle['grid_j'] = 10 - i
particle['pressure'] = float(i*i)
particle['energy'] = float(particle['pressure'] ** 4)
particle['idnumber'] = i * (2 ** 34)
# Insert a new particle record
particle.append()
# Close (and flush) the file
h5file.close()
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