Created
November 29, 2011 15:43
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This program creates a VLArray using PyTables. One dimensional Numpy arrays of varying length are appended as rows.
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################################################################################## | |
# # | |
# This program creates a VLArray using PyTables. One dimensional numpy arrays of # | |
# varying length are appended as rows # # # | |
# # | |
################################################################################### | |
import tables as tb | |
import numpy as np | |
#initialize | |
filename='vlarrayEx.h5' | |
atom=tb.Int32Atom(shape=()) | |
#open hdf5 file and create an vlarray | |
fileh=tb.openFile(filename,'w') | |
vlarray=fileh.createVLArray(fileh.root,'vlarray',atom,"Experimental VL Array", \ | |
filters=tb.Filters(1)) | |
#append variable length rows | |
vlarray.append(np.array([x for x in range(10)])) | |
vlarray.append(np.array([x**2 for x in range(2)])) | |
vlarray.append(np.array([x**3 for x in range(3)])) | |
#close file | |
fileh.close() | |
#open the file again to append | |
file1=tb.openFile(filename,'a') | |
root=file1.root | |
print "root --> ", root | |
arr=root.vlarray | |
#print file1 | |
#append more rows | |
arr.append(np.array([4*x for x in range(4)])) | |
#read the strings in the file | |
for s in arr: | |
print '%s [%d] --> %s' % (arr.name,arr.nrow,s) | |
#close the file | |
file1.close() | |
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