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import numpy as np
import tables as tb
# Open a new empty HDF5 file
fileh = tb.open_file("array3.h5", mode="w")
# Get the root group
root = fileh.root
# Create a large array
# a = reshape(array(range(2**16), "s"), (2,) * 16)
a = np.ones((2,) * 8, np.int8)
print("About to write array a")
print(" with shape: ==>", a.shape)
print(" and dtype: ==>", a.dtype)
# Save it on the HDF5 file
hdfarray = fileh.create_array(root, "carray", a, "Large array")
# Get metadata on the previously saved array
print()
print("Info on the object:", repr(root.carray))
# Close the file
fileh.close()
# Open the previous HDF5 file in read-only mode
fileh = tb.open_file("array3.h5", mode="r")
# Get the root group
root = fileh.root
# Get metadata on the previously saved array
print()
print("Getting info on retrieved /carray object:", repr(root.carray))
# Get the actual array
# b = fileh.readArray("/carray")
# You can obtain the same result with:
b = root.carray.read()
print()
print("Array b read from file")
print(" with shape: ==>", b.shape)
print(" with dtype: ==>", b.dtype)
# print " contents:", b
# Close the file
fileh.close()
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