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#!/usr/bin/env python3
# Copyright (C) 2005-2007 Carabos Coop. V. All rights reserved
# Copyright (C) 2008-2024 Vicent Mas. All rights reserved
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
# Author: Vicent Mas - vmas@vitables.org
#
# This script is based on a set of scripts by Francesc Alted.
"""Several simple Arrays."""
import numpy as np
import tables
# Open a new empty HDF5 file
fileh = tables.open_file("array_samples.h5", mode = "w")
# Get the root group
root = fileh.root
# Create an Array
a = np.array([-1, 2, 4], np.int16)
# Save it on the HDF5 file
hdfarray = fileh.create_array(root, 'array_int16', a, "Signed short array")
# Create a scalar Array
a = np.array(4, np.int16)
# Save it on the HDF5 file
hdfarray = fileh.create_array(root, 'scalar_array', a,
"Scalar signed short array")
# Create a 3-d array of floats
a = np.arange(120, dtype=np.float64).reshape(20, 3, 2)
# Save it on the HDF5 file
hdfarray = fileh.create_array(root, 'array_f3D', a, "3-D float array")
# Create an array of floats
a = np.array([1, 2.7182818284590451, 3.141592], np.float)
# Save it on the HDF5 file
hdfarray = fileh.create_array(root, 'array_f', a, "Float array")
# Create a large array
#a = reshape(array(range(2**16), "s"), (2,) * 16)
a = np.ones((2,) * 8, np.int8)
# Save it on the HDF5 file
hdfarray = fileh.create_array(root, 'array_int8', a, "Large array")
# Create a set of arrays and save them on the HDF5 file
basedim = 4
group = root
dtypes = [np.int8, np.uint8, np.int16, np.int, np.float32,
np.float]
i = 1
for dtype in dtypes:
# Create an array of dtype, with incrementally bigger ranges
a = np.ones((basedim,) * i, dtype)
# Save it on the HDF5 file
dsetname = 'array_' + a.dtype.char
hdfarray = fileh.create_array(group, dsetname, a, "Large array")
# Create a new group
group = fileh.create_group(root, 'group' + str(i))
# increment the range for next iteration
i += 1
# Close the file
fileh.close()
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