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import numpy as np
import tables as tb
# Open a new empty HDF5 file
fileh = tb.open_file("array2.h5", mode="w")
# Shortcut to the root group
root = fileh.root
# Create an array
a = np.array([1, np.e, np.pi], float)
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, "Float 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("array2.h5", mode="r")
# Get the root group
root = fileh.root
# Get metadata on the previously saved array
print()
print("Info on the object:", repr(root.carray))
# Get the actual array
b = root.carray.read()
print()
print("Array read from file:", b)
print(" with shape: ==>", b.shape)
print(" and dtype ==>", b.dtype)
# Close the file
fileh.close()
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