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Python core.array方法代碼示例

本文整理匯總了Python中numpy.core.array方法的典型用法代碼示例。如果您正苦於以下問題:Python core.array方法的具體用法?Python core.array怎麽用?Python core.array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numpy.core的用法示例。


在下文中一共展示了core.array方法的12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_scalar

# 需要導入模塊: from numpy import core [as 別名]
# 或者: from numpy.core import array [as 別名]
def test_scalar(self):
        x = np.inf
        actual = np.isposinf(x)
        expected = np.True_
        assert_equal(actual, expected)
        assert_equal(type(actual), type(expected))

        x = -3.4
        actual = np.fix(x)
        expected = np.float64(-3.0)
        assert_equal(actual, expected)
        assert_equal(type(actual), type(expected))

        out = np.array(0.0)
        actual = np.fix(x, out=out)
        assert_(actual is out) 
開發者ID:Frank-qlu,項目名稱:recruit,代碼行數:18,代碼來源:test_ufunclike.py

示例2: test_fix_with_subclass

# 需要導入模塊: from numpy import core [as 別名]
# 或者: from numpy.core import array [as 別名]
def test_fix_with_subclass(self):
        class MyArray(nx.ndarray):
            def __new__(cls, data, metadata=None):
                res = nx.array(data, copy=True).view(cls)
                res.metadata = metadata
                return res

            def __array_wrap__(self, obj, context=None):
                obj.metadata = self.metadata
                return obj

        a = nx.array([1.1, -1.1])
        m = MyArray(a, metadata='foo')
        f = ufl.fix(m)
        assert_array_equal(f, nx.array([1, -1]))
        assert_(isinstance(f, MyArray))
        assert_equal(f.metadata, 'foo') 
開發者ID:ryfeus,項目名稱:lambda-packs,代碼行數:19,代碼來源:test_ufunclike.py

示例3: test_fix_with_subclass

# 需要導入模塊: from numpy import core [as 別名]
# 或者: from numpy.core import array [as 別名]
def test_fix_with_subclass(self):
        class MyArray(nx.ndarray):
            def __new__(cls, data, metadata=None):
                res = nx.array(data, copy=True).view(cls)
                res.metadata = metadata
                return res

            def __array_wrap__(self, obj, context=None):
                obj.metadata = self.metadata
                return obj

        a = nx.array([1.1, -1.1])
        m = MyArray(a, metadata='foo')
        f = ufl.fix(m)
        assert_array_equal(f, nx.array([1, -1]))
        assert_(isinstance(f, MyArray))
        assert_equal(f.metadata, 'foo')

        # check 0d arrays don't decay to scalars
        m0d = m[0,...]
        m0d.metadata = 'bar'
        f0d = ufl.fix(m0d)
        assert_(isinstance(f0d, MyArray))
        assert_equal(f0d.metadata, 'bar') 
開發者ID:birforce,項目名稱:vnpy_crypto,代碼行數:26,代碼來源:test_ufunclike.py

示例4: test_fix_with_subclass

# 需要導入模塊: from numpy import core [as 別名]
# 或者: from numpy.core import array [as 別名]
def test_fix_with_subclass(self):
        class MyArray(nx.ndarray):
            def __new__(cls, data, metadata=None):
                res = nx.array(data, copy=True).view(cls)
                res.metadata = metadata
                return res
            def __array_wrap__(self, obj, context=None):
                obj.metadata = self.metadata
                return obj

        a = nx.array([1.1, -1.1])
        m = MyArray(a, metadata='foo')
        f = ufl.fix(m)
        assert_array_equal(f, nx.array([1, -1]))
        assert_(isinstance(f, MyArray))
        assert_equal(f.metadata, 'foo') 
開發者ID:ktraunmueller,項目名稱:Computable,代碼行數:18,代碼來源:test_ufunclike.py

示例5: test_isposinf

# 需要導入模塊: from numpy import core [as 別名]
# 或者: from numpy.core import array [as 別名]
def test_isposinf(self):
        a = nx.array([nx.inf, -nx.inf, nx.nan, 0.0, 3.0, -3.0])
        out = nx.zeros(a.shape, bool)
        tgt = nx.array([True, False, False, False, False, False])

        res = ufl.isposinf(a)
        assert_equal(res, tgt)
        res = ufl.isposinf(a, out)
        assert_equal(res, tgt)
        assert_equal(out, tgt)

        a = a.astype(np.complex)
        with assert_raises(TypeError):
            ufl.isposinf(a) 
開發者ID:Frank-qlu,項目名稱:recruit,代碼行數:16,代碼來源:test_ufunclike.py

示例6: test_isneginf

# 需要導入模塊: from numpy import core [as 別名]
# 或者: from numpy.core import array [as 別名]
def test_isneginf(self):
        a = nx.array([nx.inf, -nx.inf, nx.nan, 0.0, 3.0, -3.0])
        out = nx.zeros(a.shape, bool)
        tgt = nx.array([False, True, False, False, False, False])

        res = ufl.isneginf(a)
        assert_equal(res, tgt)
        res = ufl.isneginf(a, out)
        assert_equal(res, tgt)
        assert_equal(out, tgt)

        a = a.astype(np.complex)
        with assert_raises(TypeError):
            ufl.isneginf(a) 
開發者ID:Frank-qlu,項目名稱:recruit,代碼行數:16,代碼來源:test_ufunclike.py

示例7: test_fix

# 需要導入模塊: from numpy import core [as 別名]
# 或者: from numpy.core import array [as 別名]
def test_fix(self):
        a = nx.array([[1.0, 1.1, 1.5, 1.8], [-1.0, -1.1, -1.5, -1.8]])
        out = nx.zeros(a.shape, float)
        tgt = nx.array([[1., 1., 1., 1.], [-1., -1., -1., -1.]])

        res = ufl.fix(a)
        assert_equal(res, tgt)
        res = ufl.fix(a, out)
        assert_equal(res, tgt)
        assert_equal(out, tgt)
        assert_equal(ufl.fix(3.14), 3) 
開發者ID:Frank-qlu,項目名稱:recruit,代碼行數:13,代碼來源:test_ufunclike.py

示例8: test_fix_with_subclass

# 需要導入模塊: from numpy import core [as 別名]
# 或者: from numpy.core import array [as 別名]
def test_fix_with_subclass(self):
        class MyArray(nx.ndarray):
            def __new__(cls, data, metadata=None):
                res = nx.array(data, copy=True).view(cls)
                res.metadata = metadata
                return res

            def __array_wrap__(self, obj, context=None):
                if isinstance(obj, MyArray):
                    obj.metadata = self.metadata
                return obj

            def __array_finalize__(self, obj):
                self.metadata = getattr(obj, 'metadata', None)
                return self

        a = nx.array([1.1, -1.1])
        m = MyArray(a, metadata='foo')
        f = ufl.fix(m)
        assert_array_equal(f, nx.array([1, -1]))
        assert_(isinstance(f, MyArray))
        assert_equal(f.metadata, 'foo')

        # check 0d arrays don't decay to scalars
        m0d = m[0,...]
        m0d.metadata = 'bar'
        f0d = ufl.fix(m0d)
        assert_(isinstance(f0d, MyArray))
        assert_equal(f0d.metadata, 'bar') 
開發者ID:Frank-qlu,項目名稱:recruit,代碼行數:31,代碼來源:test_ufunclike.py

示例9: rand

# 需要導入模塊: from numpy import core [as 別名]
# 或者: from numpy.core import array [as 別名]
def rand(*args):
    """Returns an array of random numbers with the given shape.

    This only uses the standard library, so it is useful for testing purposes.
    """
    import random
    from numpy.core import zeros, float64
    results = zeros(args, float64)
    f = results.flat
    for i in range(len(f)):
        f[i] = random.random()
    return results 
開發者ID:ryfeus,項目名稱:lambda-packs,代碼行數:14,代碼來源:utils.py

示例10: test_isposinf

# 需要導入模塊: from numpy import core [as 別名]
# 或者: from numpy.core import array [as 別名]
def test_isposinf(self):
        a = nx.array([nx.inf, -nx.inf, nx.nan, 0.0, 3.0, -3.0])
        out = nx.zeros(a.shape, bool)
        tgt = nx.array([True, False, False, False, False, False])

        res = ufl.isposinf(a)
        assert_equal(res, tgt)
        res = ufl.isposinf(a, out)
        assert_equal(res, tgt)
        assert_equal(out, tgt) 
開發者ID:ryfeus,項目名稱:lambda-packs,代碼行數:12,代碼來源:test_ufunclike.py

示例11: test_isneginf

# 需要導入模塊: from numpy import core [as 別名]
# 或者: from numpy.core import array [as 別名]
def test_isneginf(self):
        a = nx.array([nx.inf, -nx.inf, nx.nan, 0.0, 3.0, -3.0])
        out = nx.zeros(a.shape, bool)
        tgt = nx.array([False, True, False, False, False, False])

        res = ufl.isneginf(a)
        assert_equal(res, tgt)
        res = ufl.isneginf(a, out)
        assert_equal(res, tgt)
        assert_equal(out, tgt) 
開發者ID:ryfeus,項目名稱:lambda-packs,代碼行數:12,代碼來源:test_ufunclike.py

示例12: test_fix

# 需要導入模塊: from numpy import core [as 別名]
# 或者: from numpy.core import array [as 別名]
def test_fix(self):
        a = nx.array([[1.0, 1.1, 1.5, 1.8], [-1.0, -1.1, -1.5, -1.8]])
        out = nx.zeros(a.shape, float)
        tgt = nx.array([[ 1., 1., 1., 1.], [-1., -1., -1., -1.]])

        res = ufl.fix(a)
        assert_equal(res, tgt)
        res = ufl.fix(a, out)
        assert_equal(res, tgt)
        assert_equal(out, tgt)
        assert_equal(ufl.fix(3.14), 3) 
開發者ID:ktraunmueller,項目名稱:Computable,代碼行數:13,代碼來源:test_ufunclike.py


注:本文中的numpy.core.array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。