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import tables as tb
class Particle(tb.IsDescription):
identity = tb.StringCol(itemsize=22, dflt=" ", pos=0)
# character String
idnumber = tb.Int16Col(dflt=1, pos=1) # short integer
speed = tb.Float32Col(dflt=1, pos=1) # single-precision
# Open a file in "w"rite mode
fileh = tb.open_file("objecttree.h5", mode="w")
# Get the HDF5 root group
root = fileh.root
# Create the groups:
group1 = fileh.create_group(root, "group1")
group2 = fileh.create_group(root, "group2")
# Now, create an array in root group
# Currently PyTables arrays don't support Unicode strings,
# so we need to make sure we pass plain bytes
array1 = fileh.create_array(
root, "array1", [b"string", b"array"], "String array"
)
# Create 2 new tables in group1
table1 = fileh.create_table(group1, "table1", Particle)
table2 = fileh.create_table("/group2", "table2", Particle)
# Create the last table in group2
array2 = fileh.create_array("/group1", "array2", [1, 2, 3, 4])
# Now, fill the tables:
for table in (table1, table2):
# Get the record object associated with the table:
row = table.row
# Fill the table with 10 records
for i in range(10):
# First, assign the values to the Particle record
row["identity"] = "This is particle: %2d" % (i)
row["idnumber"] = i
row["speed"] = i * 2
# This injects the Record values
row.append()
# Flush the table buffers
table.flush()
# Finally, close the file (this also will flush all the remaining buffers!)
fileh.close()
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