File size: 2,772 Bytes
2c3c408 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 | # multirange_indexing.py
#
# LICENSE
#
# The MIT License
#
# Copyright (c) 2020 TileDB, Inc.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
#
# DESCRIPTION
#
# Please see the TileDB documentation for more information:
# https://docs.tiledb.com/main/how-to/arrays/reading-arrays/multi-range-subarrays
#
# When run, this program will create a simple 2D dense array with two
# attributes, write some data to it, and read a slice of the data back on
# (i) both attributes, and (ii) subselecting on only one of the attributes.
#
import numpy as np
import tiledb
# Name of the array to create.
array_name = "multi_range"
def create_array():
# Check if the array already exists.
if tiledb.object_type(array_name) == "array":
return
dom = tiledb.Domain(
tiledb.Dim(name="x", domain=(1, 20), tile=4, dtype=np.int64),
tiledb.Dim(name="y", domain=(1, 20), tile=4, dtype=np.int64),
)
# Add a single "a" float attribute
schema = tiledb.ArraySchema(
domain=dom, sparse=False, attrs=[tiledb.Attr(name="a", dtype=np.float64)]
)
# Create the (empty) array on disk.
tiledb.DenseArray.create(array_name, schema)
def write_array():
# Open the array and write to it.
with tiledb.DenseArray(array_name, mode="w") as A:
data_a = np.arange(400).reshape(20, 20)
A[:, :] = {"a": data_a}
def read_array():
# Open the array and read from it.
with tiledb.DenseArray(array_name, mode="r") as A:
# Slice only rows: (1,3) inclusive, and 5
# cols: 2, 5, 7
data = A.multi_index[[(1, 3), 5], [2, 5, 7]]
print("Reading attribute 'a', [ [1:3, 5], [2,5,7] ]")
a = data["a"]
print(a)
create_array()
write_array()
read_array()
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