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Python umath.log方法代码示例

本文整理汇总了Python中numpy.core.umath.log方法的典型用法代码示例。如果您正苦于以下问题：Python umath.log方法的具体用法？Python umath.log怎么用？Python umath.log使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类numpy.core.umath的用法示例。


在下文中一共展示了umath.log方法的8个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: test_branch_cuts

# 需要导入模块: from numpy.core import umath [as 别名]
# 或者: from numpy.core.umath import log [as 别名]
def test_branch_cuts(self):
        # check branch cuts and continuity on them
        _check_branch_cut(np.log,   -0.5, 1j, 1, -1, True)
        _check_branch_cut(np.log2,  -0.5, 1j, 1, -1, True)
        _check_branch_cut(np.log10, -0.5, 1j, 1, -1, True)
        _check_branch_cut(np.log1p, -1.5, 1j, 1, -1, True)
        _check_branch_cut(np.sqrt,  -0.5, 1j, 1, -1, True)

        _check_branch_cut(np.arcsin, [ -2, 2],   [1j, 1j], 1, -1, True)
        _check_branch_cut(np.arccos, [ -2, 2],   [1j, 1j], 1, -1, True)
        _check_branch_cut(np.arctan, [0-2j, 2j],  [1,  1], -1, 1, True)

        _check_branch_cut(np.arcsinh, [0-2j,  2j], [1,   1], -1, 1, True)
        _check_branch_cut(np.arccosh, [ -1, 0.5], [1j,  1j], 1, -1, True)
        _check_branch_cut(np.arctanh, [ -2,   2], [1j, 1j], 1, -1, True)

        # check against bogus branch cuts: assert continuity between quadrants
        _check_branch_cut(np.arcsin, [0-2j, 2j], [ 1,  1], 1, 1)
        _check_branch_cut(np.arccos, [0-2j, 2j], [ 1,  1], 1, 1)
        _check_branch_cut(np.arctan, [ -2,  2], [1j, 1j], 1, 1)

        _check_branch_cut(np.arcsinh, [ -2,  2, 0], [1j, 1j, 1], 1, 1)
        _check_branch_cut(np.arccosh, [0-2j, 2j, 2], [1,  1,  1j], 1, 1)
        _check_branch_cut(np.arctanh, [0-2j, 2j, 0], [1,  1,  1j], 1, 1)
开发者ID:Frank-qlu，项目名称:recruit，代码行数:26，代码来源:test_umath.py

示例2: test_branch_cuts_complex64

# 需要导入模块: from numpy.core import umath [as 别名]
# 或者: from numpy.core.umath import log [as 别名]
def test_branch_cuts_complex64(self):
        # check branch cuts and continuity on them
        _check_branch_cut(np.log,   -0.5, 1j, 1, -1, True, np.complex64)
        _check_branch_cut(np.log2,  -0.5, 1j, 1, -1, True, np.complex64)
        _check_branch_cut(np.log10, -0.5, 1j, 1, -1, True, np.complex64)
        _check_branch_cut(np.log1p, -1.5, 1j, 1, -1, True, np.complex64)
        _check_branch_cut(np.sqrt,  -0.5, 1j, 1, -1, True, np.complex64)

        _check_branch_cut(np.arcsin, [ -2, 2],   [1j, 1j], 1, -1, True, np.complex64)
        _check_branch_cut(np.arccos, [ -2, 2],   [1j, 1j], 1, -1, True, np.complex64)
        _check_branch_cut(np.arctan, [0-2j, 2j],  [1,  1], -1, 1, True, np.complex64)

        _check_branch_cut(np.arcsinh, [0-2j,  2j], [1,   1], -1, 1, True, np.complex64)
        _check_branch_cut(np.arccosh, [ -1, 0.5], [1j,  1j], 1, -1, True, np.complex64)
        _check_branch_cut(np.arctanh, [ -2,   2], [1j, 1j], 1, -1, True, np.complex64)

        # check against bogus branch cuts: assert continuity between quadrants
        _check_branch_cut(np.arcsin, [0-2j, 2j], [ 1,  1], 1, 1, False, np.complex64)
        _check_branch_cut(np.arccos, [0-2j, 2j], [ 1,  1], 1, 1, False, np.complex64)
        _check_branch_cut(np.arctan, [ -2,  2], [1j, 1j], 1, 1, False, np.complex64)

        _check_branch_cut(np.arcsinh, [ -2,  2, 0], [1j, 1j, 1], 1, 1, False, np.complex64)
        _check_branch_cut(np.arccosh, [0-2j, 2j, 2], [1,  1,  1j], 1, 1, False, np.complex64)
        _check_branch_cut(np.arctanh, [0-2j, 2j, 0], [1,  1,  1j], 1, 1, False, np.complex64)
开发者ID:Frank-qlu，项目名称:recruit，代码行数:26，代码来源:test_umath.py

示例3: test_branch_cuts

# 需要导入模块: from numpy.core import umath [as 别名]
# 或者: from numpy.core.umath import log [as 别名]
def test_branch_cuts(self):
        # check branch cuts and continuity on them
        yield _check_branch_cut, np.log,   -0.5, 1j, 1, -1, True
        yield _check_branch_cut, np.log2,  -0.5, 1j, 1, -1, True
        yield _check_branch_cut, np.log10, -0.5, 1j, 1, -1, True
        yield _check_branch_cut, np.log1p, -1.5, 1j, 1, -1, True
        yield _check_branch_cut, np.sqrt,  -0.5, 1j, 1, -1, True

        yield _check_branch_cut, np.arcsin, [ -2, 2],   [1j, 1j], 1, -1, True
        yield _check_branch_cut, np.arccos, [ -2, 2],   [1j, 1j], 1, -1, True
        yield _check_branch_cut, np.arctan, [0-2j, 2j],  [1,  1], -1, 1, True

        yield _check_branch_cut, np.arcsinh, [0-2j,  2j], [1,   1], -1, 1, True
        yield _check_branch_cut, np.arccosh, [ -1, 0.5], [1j,  1j], 1, -1, True
        yield _check_branch_cut, np.arctanh, [ -2,   2], [1j, 1j], 1, -1, True

        # check against bogus branch cuts: assert continuity between quadrants
        yield _check_branch_cut, np.arcsin, [0-2j, 2j], [ 1,  1], 1, 1
        yield _check_branch_cut, np.arccos, [0-2j, 2j], [ 1,  1], 1, 1
        yield _check_branch_cut, np.arctan, [ -2,  2], [1j, 1j], 1, 1

        yield _check_branch_cut, np.arcsinh, [ -2,  2, 0], [1j, 1j, 1], 1, 1
        yield _check_branch_cut, np.arccosh, [0-2j, 2j, 2], [1,  1,  1j], 1, 1
        yield _check_branch_cut, np.arctanh, [0-2j, 2j, 0], [1,  1,  1j], 1, 1
开发者ID:abhisuri97，项目名称:auto-alt-text-lambda-api，代码行数:26，代码来源:test_umath.py

示例4: test_branch_cuts_complex64

# 需要导入模块: from numpy.core import umath [as 别名]
# 或者: from numpy.core.umath import log [as 别名]
def test_branch_cuts_complex64(self):
        # check branch cuts and continuity on them
        yield _check_branch_cut, np.log,   -0.5, 1j, 1, -1, True, np.complex64
        yield _check_branch_cut, np.log2,  -0.5, 1j, 1, -1, True, np.complex64
        yield _check_branch_cut, np.log10, -0.5, 1j, 1, -1, True, np.complex64
        yield _check_branch_cut, np.log1p, -1.5, 1j, 1, -1, True, np.complex64
        yield _check_branch_cut, np.sqrt,  -0.5, 1j, 1, -1, True, np.complex64

        yield _check_branch_cut, np.arcsin, [ -2, 2],   [1j, 1j], 1, -1, True, np.complex64
        yield _check_branch_cut, np.arccos, [ -2, 2],   [1j, 1j], 1, -1, True, np.complex64
        yield _check_branch_cut, np.arctan, [0-2j, 2j],  [1,  1], -1, 1, True, np.complex64

        yield _check_branch_cut, np.arcsinh, [0-2j,  2j], [1,   1], -1, 1, True, np.complex64
        yield _check_branch_cut, np.arccosh, [ -1, 0.5], [1j,  1j], 1, -1, True, np.complex64
        yield _check_branch_cut, np.arctanh, [ -2,   2], [1j, 1j], 1, -1, True, np.complex64

        # check against bogus branch cuts: assert continuity between quadrants
        yield _check_branch_cut, np.arcsin, [0-2j, 2j], [ 1,  1], 1, 1, False, np.complex64
        yield _check_branch_cut, np.arccos, [0-2j, 2j], [ 1,  1], 1, 1, False, np.complex64
        yield _check_branch_cut, np.arctan, [ -2,  2], [1j, 1j], 1, 1, False, np.complex64

        yield _check_branch_cut, np.arcsinh, [ -2,  2, 0], [1j, 1j, 1], 1, 1, False, np.complex64
        yield _check_branch_cut, np.arccosh, [0-2j, 2j, 2], [1,  1,  1j], 1, 1, False, np.complex64
        yield _check_branch_cut, np.arctanh, [0-2j, 2j, 0], [1,  1,  1j], 1, 1, False, np.complex64
开发者ID:abhisuri97，项目名称:auto-alt-text-lambda-api，代码行数:26，代码来源:test_umath.py

示例5: test_branch_cuts

# 需要导入模块: from numpy.core import umath [as 别名]
# 或者: from numpy.core.umath import log [as 别名]
def test_branch_cuts(self):
        # check branch cuts and continuity on them
        yield _check_branch_cut, np.log,   -0.5, 1j, 1, -1
        yield _check_branch_cut, np.log2,  -0.5, 1j, 1, -1
        yield _check_branch_cut, np.log10, -0.5, 1j, 1, -1
        yield _check_branch_cut, np.log1p, -1.5, 1j, 1, -1
        yield _check_branch_cut, np.sqrt,  -0.5, 1j, 1, -1

        yield _check_branch_cut, np.arcsin, [ -2, 2],   [1j, -1j], 1, -1
        yield _check_branch_cut, np.arccos, [ -2, 2],   [1j, -1j], 1, -1
        yield _check_branch_cut, np.arctan, [-2j, 2j],  [1,  -1 ], -1, 1

        yield _check_branch_cut, np.arcsinh, [-2j,  2j], [-1,   1], -1, 1
        yield _check_branch_cut, np.arccosh, [ -1, 0.5], [1j,  1j], 1, -1
        yield _check_branch_cut, np.arctanh, [ -2,   2], [1j, -1j], 1, -1

        # check against bogus branch cuts: assert continuity between quadrants
        yield _check_branch_cut, np.arcsin, [-2j, 2j], [ 1,  1], 1, 1
        yield _check_branch_cut, np.arccos, [-2j, 2j], [ 1,  1], 1, 1
        yield _check_branch_cut, np.arctan, [ -2,  2], [1j, 1j], 1, 1

        yield _check_branch_cut, np.arcsinh, [ -2,  2, 0], [1j, 1j, 1 ], 1, 1
        yield _check_branch_cut, np.arccosh, [-2j, 2j, 2], [1,  1,  1j], 1, 1
        yield _check_branch_cut, np.arctanh, [-2j, 2j, 0], [1,  1,  1j], 1, 1
开发者ID:ktraunmueller，项目名称:Computable，代码行数:26，代码来源:test_umath.py

示例6: test_log_values

# 需要导入模块: from numpy.core import umath [as 别名]
# 或者: from numpy.core.umath import log [as 别名]
def test_log_values(self):
        x = [1, 2, 4, 8, 16, 32, 64, 128, 256, 512, 1024]
        y = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
        for dt in ['f', 'd', 'g']:
            log2_ = 0.69314718055994530943
            xf = np.array(x, dtype=dt)
            yf = np.array(y, dtype=dt)*log2_
            assert_almost_equal(np.log(xf), yf)
开发者ID:Frank-qlu，项目名称:recruit，代码行数:10，代码来源:test_umath.py

示例7: test_logaddexp_values

# 需要导入模块: from numpy.core import umath [as 别名]
# 或者: from numpy.core.umath import log [as 别名]
def test_logaddexp_values(self):
        x = [1, 2, 3, 4, 5]
        y = [5, 4, 3, 2, 1]
        z = [6, 6, 6, 6, 6]
        for dt, dec_ in zip(['f', 'd', 'g'], [6, 15, 15]):
            xf = np.log(np.array(x, dtype=dt))
            yf = np.log(np.array(y, dtype=dt))
            zf = np.log(np.array(z, dtype=dt))
            assert_almost_equal(np.logaddexp(xf, yf), zf, decimal=dec_)
开发者ID:Frank-qlu，项目名称:recruit，代码行数:11，代码来源:test_umath.py

示例8: test_log1p

# 需要导入模块: from numpy.core import umath [as 别名]
# 或者: from numpy.core.umath import log [as 别名]
def test_log1p(self):
        assert_almost_equal(ncu.log1p(0.2), ncu.log(1.2))
        assert_almost_equal(ncu.log1p(1e-6), ncu.log(1+1e-6))
开发者ID:Frank-qlu，项目名称:recruit，代码行数:5，代码来源:test_umath.py


注：本文中的numpy.core.umath.log方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。