Python matplotlib.mlab.demean() Examples

The following are 30 code examples of matplotlib.mlab.demean(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module matplotlib.mlab , or try the search function .
Example #1
Source File: test_mlab.py    From coffeegrindsize with MIT License 5 votes vote down vote up 
def test_demean_1D_d1_ValueError(self):
        input = self.sig_slope
        with pytest.raises(ValueError):
            mlab.demean(input, axis=1)
Example #2
Source File: test_mlab.py    From ImageFusion with MIT License 5 votes vote down vote up 
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)
Example #3
Source File: test_mlab.py    From ImageFusion with MIT License 5 votes vote down vote up 
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)
Example #4
Source File: test_mlab.py    From ImageFusion with MIT License 5 votes vote down vote up 
def test_demean_1D_d1_ValueError(self):
        input = self.sig_slope
        assert_raises(ValueError, mlab.demean, input, axis=1)
Example #5
Source File: test_mlab.py    From ImageFusion with MIT License 5 votes vote down vote up 
def test_demean_2D_d2_ValueError(self):
        input = self.sig_slope[np.newaxis]
        assert_raises(ValueError, mlab.demean, input, axis=2)
Example #6
Source File: test_mlab.py    From coffeegrindsize with MIT License 5 votes vote down vote up 
def test_demean_0D_off(self):
        input = 5.5
        targ = 0.
        res = mlab.demean(input, axis=None)
        assert_almost_equal(res, targ)
Example #7
Source File: test_mlab.py    From coffeegrindsize with MIT License 5 votes vote down vote up 
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)
Example #8
Source File: test_mlab.py    From coffeegrindsize with MIT License 5 votes vote down vote up 
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)
Example #9
Source File: test_mlab.py    From coffeegrindsize with MIT License 5 votes vote down vote up 
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)
Example #10
Source File: test_mlab.py    From coffeegrindsize with MIT License 5 votes vote down vote up 
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)
Example #11
Source File: test_mlab.py    From coffeegrindsize with MIT License 5 votes vote down vote up 
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)
Example #12
Source File: test_mlab.py    From coffeegrindsize with MIT License 5 votes vote down vote up 
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)
Example #13
Source File: test_mlab.py    From coffeegrindsize with MIT License 5 votes vote down vote up 
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)
Example #14
Source File: test_mlab.py    From ImageFusion with MIT License 5 votes vote down vote up 
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)
Example #15
Source File: test_mlab.py    From coffeegrindsize with MIT License 5 votes vote down vote up 
def test_demean_2D_d2_ValueError(self):
        input = self.sig_slope[np.newaxis]
        with pytest.raises(ValueError):
            mlab.demean(input, axis=2)
Example #16
Source File: test_mlab.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
def test_demean_0D_off(self):
        input = 5.5
        targ = 0.
        res = mlab.demean(input, axis=None)
        assert_almost_equal(res, targ)
Example #17
Source File: test_mlab.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
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)
Example #18
Source File: test_mlab.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
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)
Example #19
Source File: test_mlab.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
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)
Example #20
Source File: test_mlab.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
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)
Example #21
Source File: test_mlab.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
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)
Example #22
Source File: test_mlab.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
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)
Example #23
Source File: test_mlab.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
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)
Example #24
Source File: test_mlab.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
def test_demean_1D_d1_ValueError(self):
        input = self.sig_slope
        with pytest.raises(ValueError):
            mlab.demean(input, axis=1)
Example #25
Source File: test_mlab.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
def test_demean_2D_d2_ValueError(self):
        input = self.sig_slope[np.newaxis]
        with pytest.raises(ValueError):
            mlab.demean(input, axis=2)
Example #26
Source File: test_mlab.py    From python3_ios with BSD 3-Clause "New" or "Revised" License 5 votes vote down vote up 
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)
Example #27
Source File: test_mlab.py    From neural-network-animation with MIT License 5 votes vote down vote up 
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)
Example #28
Source File: test_mlab.py    From neural-network-animation with MIT License 5 votes vote down vote up 
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)
Example #29
Source File: test_mlab.py    From neural-network-animation with MIT License 5 votes vote down vote up 
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)
Example #30
Source File: test_mlab.py    From neural-network-animation with MIT License 5 votes vote down vote up 
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)