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Python mlab.demean方法代码示例

本文整理汇总了Python中matplotlib.mlab.demean方法的典型用法代码示例。如果您正苦于以下问题:Python mlab.demean方法的具体用法?Python mlab.demean怎么用?Python mlab.demean使用的例子?那么恭喜您, 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matplotlib.mlab的用法示例。


在下文中一共展示了mlab.demean方法的12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_demean_0D_off

# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import demean [as 别名]
def test_demean_0D_off(self):
        input = 5.5
        targ = 0.
        res = mlab.demean(input, axis=None)
        assert_almost_equal(res, targ) 
开发者ID:miloharper,项目名称:neural-network-animation,代码行数:7,代码来源:test_mlab.py

示例2: test_demean_1D_base_slope_off

# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import demean [as 别名]
def test_demean_1D_base_slope_off(self):
        input = self.sig_base + self.sig_slope + self.sig_off
        targ = self.sig_base + self.sig_slope_mean
        res = mlab.demean(input)
        assert_allclose(res, targ, atol=1e-08) 
开发者ID:miloharper,项目名称:neural-network-animation,代码行数:7,代码来源:test_mlab.py

示例3: test_demean_1D_base_slope_off_axis0

# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import demean [as 别名]
def test_demean_1D_base_slope_off_axis0(self):
        input = self.sig_base + self.sig_slope + self.sig_off
        targ = self.sig_base + self.sig_slope_mean
        res = mlab.demean(input, axis=0)
        assert_allclose(res, targ, atol=1e-08) 
开发者ID:miloharper,项目名称:neural-network-animation,代码行数:7,代码来源:test_mlab.py

示例4: test_demean_1D_base_slope_off_list

# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import demean [as 别名]
def test_demean_1D_base_slope_off_list(self):
        input = self.sig_base + self.sig_slope + self.sig_off
        targ = self.sig_base + self.sig_slope_mean
        res = mlab.demean(input.tolist())
        assert_allclose(res, targ, atol=1e-08) 
开发者ID:miloharper,项目名称:neural-network-animation,代码行数:7,代码来源:test_mlab.py

示例5: test_demean_2D_default

# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import demean [as 别名]
def test_demean_2D_default(self):
        arri = [self.sig_base,
                self.sig_base + self.sig_off,
                self.sig_base + self.sig_slope,
                self.sig_base + self.sig_off + self.sig_slope]
        arrt = [self.sig_base,
                self.sig_base,
                self.sig_base + self.sig_slope_mean,
                self.sig_base + self.sig_slope_mean]
        input = np.vstack(arri).T
        targ = np.vstack(arrt).T
        res = mlab.demean(input)
        assert_allclose(res, targ,
                        atol=1e-08) 
开发者ID:miloharper,项目名称:neural-network-animation,代码行数:16,代码来源:test_mlab.py

示例6: test_demean_2D_axis0

# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import demean [as 别名]
def test_demean_2D_axis0(self):
        arri = [self.sig_base,
                self.sig_base + self.sig_off,
                self.sig_base + self.sig_slope,
                self.sig_base + self.sig_off + self.sig_slope]
        arrt = [self.sig_base,
                self.sig_base,
                self.sig_base + self.sig_slope_mean,
                self.sig_base + self.sig_slope_mean]
        input = np.vstack(arri).T
        targ = np.vstack(arrt).T
        res = mlab.demean(input, axis=0)
        assert_allclose(res, targ,
                        atol=1e-08) 
开发者ID:miloharper,项目名称:neural-network-animation,代码行数:16,代码来源:test_mlab.py

示例7: test_demean_2D_axis1

# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import demean [as 别名]
def test_demean_2D_axis1(self):
        arri = [self.sig_base,
                self.sig_base + self.sig_off,
                self.sig_base + self.sig_slope,
                self.sig_base + self.sig_off + self.sig_slope]
        arrt = [self.sig_base,
                self.sig_base,
                self.sig_base + self.sig_slope_mean,
                self.sig_base + self.sig_slope_mean]
        input = np.vstack(arri)
        targ = np.vstack(arrt)
        res = mlab.demean(input, axis=1)
        assert_allclose(res, targ,
                        atol=1e-08) 
开发者ID:miloharper,项目名称:neural-network-animation,代码行数:16,代码来源:test_mlab.py

示例8: test_demean_2D_axism1

# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import demean [as 别名]
def test_demean_2D_axism1(self):
        arri = [self.sig_base,
                self.sig_base + self.sig_off,
                self.sig_base + self.sig_slope,
                self.sig_base + self.sig_off + self.sig_slope]
        arrt = [self.sig_base,
                self.sig_base,
                self.sig_base + self.sig_slope_mean,
                self.sig_base + self.sig_slope_mean]
        input = np.vstack(arri)
        targ = np.vstack(arrt)
        res = mlab.demean(input, axis=-1)
        assert_allclose(res, targ,
                        atol=1e-08) 
开发者ID:miloharper,项目名称:neural-network-animation,代码行数:16,代码来源:test_mlab.py

示例9: test_demean_1D_d1_ValueError

# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import demean [as 别名]
def test_demean_1D_d1_ValueError(self):
        input = self.sig_slope
        assert_raises(ValueError, mlab.demean, input, axis=1) 
开发者ID:miloharper,项目名称:neural-network-animation,代码行数:5,代码来源:test_mlab.py

示例10: test_demean_2D_d2_ValueError

# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import demean [as 别名]
def test_demean_2D_d2_ValueError(self):
        input = self.sig_slope[np.newaxis]
        assert_raises(ValueError, mlab.demean, input, axis=2) 
开发者ID:miloharper,项目名称:neural-network-animation,代码行数:5,代码来源:test_mlab.py

示例11: test_demean_1D_d1_ValueError

# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import demean [as 别名]
def test_demean_1D_d1_ValueError(self):
        input = self.sig_slope
        with pytest.raises(ValueError):
            mlab.demean(input, axis=1) 
开发者ID:holzschu,项目名称:python3_ios,代码行数:6,代码来源:test_mlab.py

示例12: test_demean_2D_d2_ValueError

# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import demean [as 别名]
def test_demean_2D_d2_ValueError(self):
        input = self.sig_slope[np.newaxis]
        with pytest.raises(ValueError):
            mlab.demean(input, axis=2) 
开发者ID:holzschu,项目名称:python3_ios,代码行数:6,代码来源:test_mlab.py


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