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import numpy as np
import tables as tb
# Open a new empty HDF5 file
fileh = tb.open_file("attributes1.h5", mode="w", title="Testing attributes")
# Get the root group
root = fileh.root
# Create an array
a = np.array([1, 2, 4], np.int32)
# Save it on the HDF5 file
hdfarray = fileh.create_array(root, "array", a, "Integer array")
# Assign user attributes
# A string
hdfarray.attrs.string = "This is an example"
# A Char
hdfarray.attrs.char = "1"
# An integer
hdfarray.attrs.int = 12
# A float
hdfarray.attrs.float = 12.32
# A generic object
hdfarray.attrs.object = {"a": 32.1, "b": 1, "c": [1, 2]}
# Close the file
fileh.close()
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