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Python numpy.nested_iters方法代碼示例

本文整理匯總了Python中numpy.nested_iters方法的典型用法代碼示例。如果您正苦於以下問題：Python numpy.nested_iters方法的具體用法？Python numpy.nested_iters怎麽用？Python numpy.nested_iters使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類numpy的用法示例。


在下文中一共展示了numpy.nested_iters方法的8個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: test_0d

# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import nested_iters [as 別名]
def test_0d(self):
        a = np.arange(12).reshape(2, 3, 2)
        i, j = np.nested_iters(a, [[], [1, 0, 2]])
        vals = [list(j) for _ in i]
        assert_equal(vals, [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]])

        i, j = np.nested_iters(a, [[1, 0, 2], []])
        vals = [list(j) for _ in i]
        assert_equal(vals, [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11]])

        i, j, k = np.nested_iters(a, [[2, 0], [], [1]])
        vals = []
        for x in i:
            for y in j:
                vals.append([z for z in k])
        assert_equal(vals, [[0, 2, 4], [1, 3, 5], [6, 8, 10], [7, 9, 11]])
開發者ID:Frank-qlu，項目名稱:recruit，代碼行數:18，代碼來源:test_nditer.py

示例2: test_iter_nested_iters_basic

# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import nested_iters [as 別名]
def test_iter_nested_iters_basic():
    # Test nested iteration basic usage
    a = arange(12).reshape(2, 3, 2)

    i, j = np.nested_iters(a, [[0], [1, 2]])
    vals = []
    for x in i:
        vals.append([y for y in j])
    assert_equal(vals, [[0, 1, 2, 3, 4, 5], [6, 7, 8, 9, 10, 11]])

    i, j = np.nested_iters(a, [[0, 1], [2]])
    vals = []
    for x in i:
        vals.append([y for y in j])
    assert_equal(vals, [[0, 1], [2, 3], [4, 5], [6, 7], [8, 9], [10, 11]])

    i, j = np.nested_iters(a, [[0, 2], [1]])
    vals = []
    for x in i:
        vals.append([y for y in j])
    assert_equal(vals, [[0, 2, 4], [1, 3, 5], [6, 8, 10], [7, 9, 11]])
開發者ID:abhisuri97，項目名稱:auto-alt-text-lambda-api，代碼行數:23，代碼來源:test_nditer.py

示例3: test_iter_nested_iters_broadcast

# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import nested_iters [as 別名]
def test_iter_nested_iters_broadcast():
    # Test nested iteration with broadcasting
    a = arange(2).reshape(2, 1)
    b = arange(3).reshape(1, 3)

    i, j = np.nested_iters([a, b], [[0], [1]])
    vals = []
    for x in i:
        vals.append([y for y in j])
    assert_equal(vals, [[[0, 0], [0, 1], [0, 2]], [[1, 0], [1, 1], [1, 2]]])

    i, j = np.nested_iters([a, b], [[1], [0]])
    vals = []
    for x in i:
        vals.append([y for y in j])
    assert_equal(vals, [[[0, 0], [1, 0]], [[0, 1], [1, 1]], [[0, 2], [1, 2]]])
開發者ID:abhisuri97，項目名稱:auto-alt-text-lambda-api，代碼行數:18，代碼來源:test_nditer.py

示例4: test_0d_nested_iter

# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import nested_iters [as 別名]
def test_0d_nested_iter():
    a = np.arange(12).reshape(2, 3, 2)
    i, j = np.nested_iters(a, [[], [1, 0, 2]])
    vals = []
    for x in i:
        vals.append([y for y in j])
    assert_equal(vals, [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]])

    i, j = np.nested_iters(a, [[1, 0, 2], []])
    vals = []
    for x in i:
        vals.append([y for y in j])
    assert_equal(vals, [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11]])

    i, j, k = np.nested_iters(a, [[2, 0], [], [1]])
    vals = []
    for x in i:
        for y in j:
            vals.append([z for z in k])
    assert_equal(vals, [[0, 2, 4], [1, 3, 5], [6, 8, 10], [7, 9, 11]])
開發者ID:abhisuri97，項目名稱:auto-alt-text-lambda-api，代碼行數:22，代碼來源:test_nditer.py

示例5: test_basic

# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import nested_iters [as 別名]
def test_basic(self):
        # Test nested iteration basic usage
        a = arange(12).reshape(2, 3, 2)

        i, j = np.nested_iters(a, [[0], [1, 2]])
        vals = []
        for x in i:
            vals.append([y for y in j])
        assert_equal(vals, [[0, 1, 2, 3, 4, 5], [6, 7, 8, 9, 10, 11]])

        i, j = np.nested_iters(a, [[0, 1], [2]])
        vals = []
        for x in i:
            vals.append([y for y in j])
        assert_equal(vals, [[0, 1], [2, 3], [4, 5], [6, 7], [8, 9], [10, 11]])

        i, j = np.nested_iters(a, [[0, 2], [1]])
        vals = []
        for x in i:
            vals.append([y for y in j])
        assert_equal(vals, [[0, 2, 4], [1, 3, 5], [6, 8, 10], [7, 9, 11]])
開發者ID:birforce，項目名稱:vnpy_crypto，代碼行數:23，代碼來源:test_nditer.py

示例6: test_broadcast

# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import nested_iters [as 別名]
def test_broadcast(self):
        # Test nested iteration with broadcasting
        a = arange(2).reshape(2, 1)
        b = arange(3).reshape(1, 3)

        i, j = np.nested_iters([a, b], [[0], [1]])
        vals = []
        for x in i:
            vals.append([y for y in j])
        assert_equal(vals, [[[0, 0], [0, 1], [0, 2]], [[1, 0], [1, 1], [1, 2]]])

        i, j = np.nested_iters([a, b], [[1], [0]])
        vals = []
        for x in i:
            vals.append([y for y in j])
        assert_equal(vals, [[[0, 0], [1, 0]], [[0, 1], [1, 1]], [[0, 2], [1, 2]]])
開發者ID:birforce，項目名稱:vnpy_crypto，代碼行數:18，代碼來源:test_nditer.py

示例7: test_0d

# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import nested_iters [as 別名]
def test_0d(self):
        a = np.arange(12).reshape(2, 3, 2)
        i, j = np.nested_iters(a, [[], [1, 0, 2]])
        vals = []
        for x in i:
            vals.append([y for y in j])
        assert_equal(vals, [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]])

        i, j = np.nested_iters(a, [[1, 0, 2], []])
        vals = []
        for x in i:
            vals.append([y for y in j])
        assert_equal(vals, [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11]])

        i, j, k = np.nested_iters(a, [[2, 0], [], [1]])
        vals = []
        for x in i:
            for y in j:
                vals.append([z for z in k])
        assert_equal(vals, [[0, 2, 4], [1, 3, 5], [6, 8, 10], [7, 9, 11]])
開發者ID:birforce，項目名稱:vnpy_crypto，代碼行數:22，代碼來源:test_nditer.py

示例8: test_basic

# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import nested_iters [as 別名]
def test_basic(self):
        # Test nested iteration basic usage
        a = arange(12).reshape(2, 3, 2)

        i, j = np.nested_iters(a, [[0], [1, 2]])
        vals = [list(j) for _ in i]
        assert_equal(vals, [[0, 1, 2, 3, 4, 5], [6, 7, 8, 9, 10, 11]])

        i, j = np.nested_iters(a, [[0, 1], [2]])
        vals = [list(j) for _ in i]
        assert_equal(vals, [[0, 1], [2, 3], [4, 5], [6, 7], [8, 9], [10, 11]])

        i, j = np.nested_iters(a, [[0, 2], [1]])
        vals = [list(j) for _ in i]
        assert_equal(vals, [[0, 2, 4], [1, 3, 5], [6, 8, 10], [7, 9, 11]])
開發者ID:Frank-qlu，項目名稱:recruit，代碼行數:17，代碼來源:test_nditer.py


注：本文中的numpy.nested_iters方法示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台，相關代碼片段篩選自各路編程大神貢獻的開源項目，源碼版權歸原作者所有，傳播和使用請參考對應項目的License；未經允許，請勿轉載。