當前位置: 首頁>>代碼示例>>Python>>正文

Python mlab.detrend_mean方法代碼示例

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

在下文中一共展示了mlab.detrend_mean方法的15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_detrend_mean_0D_zeros

# 需要導入模塊: from matplotlib import mlab [as 別名]
# 或者: from matplotlib.mlab import detrend_mean [as 別名]
def test_detrend_mean_0D_zeros(self):
        input = 0.
        targ = 0.
        res = mlab.detrend_mean(input)
        assert_almost_equal(res, targ)

開發者ID:miloharper，項目名稱:neural-network-animation，代碼行數:7，代碼來源:test_mlab.py

示例2: test_detrend_detrend_mean_0D_zeros

# 需要導入模塊: from matplotlib import mlab [as 別名]
# 或者: from matplotlib.mlab import detrend_mean [as 別名]
def test_detrend_detrend_mean_0D_zeros(self):
        input = 0.
        targ = 0.
        res = mlab.detrend(input, key=mlab.detrend_mean)
        assert_almost_equal(res, targ)

開發者ID:miloharper，項目名稱:neural-network-animation，代碼行數:7，代碼來源:test_mlab.py

示例3: test_detrend_mean_0D_off

# 需要導入模塊: from matplotlib import mlab [as 別名]
# 或者: from matplotlib.mlab import detrend_mean [as 別名]
def test_detrend_mean_0D_off(self):
        input = 5.5
        targ = 0.
        res = mlab.detrend_mean(input)
        assert_almost_equal(res, targ)

開發者ID:miloharper，項目名稱:neural-network-animation，代碼行數:7，代碼來源:test_mlab.py

示例4: test_detrend_detrend_mean_0D_off

# 需要導入模塊: from matplotlib import mlab [as 別名]
# 或者: from matplotlib.mlab import detrend_mean [as 別名]
def test_detrend_detrend_mean_0D_off(self):
        input = 5.5
        targ = 0.
        res = mlab.detrend(input, key=mlab.detrend_mean)
        assert_almost_equal(res, targ)

開發者ID:miloharper，項目名稱:neural-network-animation，代碼行數:7，代碼來源:test_mlab.py

示例5: test_detrend_mean_1D_zeros

# 需要導入模塊: from matplotlib import mlab [as 別名]
# 或者: from matplotlib.mlab import detrend_mean [as 別名]
def test_detrend_mean_1D_zeros(self):
        input = self.sig_zeros
        targ = self.sig_zeros
        res = mlab.detrend_mean(input)
        assert_allclose(res, targ, atol=self.atol)

開發者ID:miloharper，項目名稱:neural-network-animation，代碼行數:7，代碼來源:test_mlab.py

示例6: test_detrend_mean_1D_base_off

# 需要導入模塊: from matplotlib import mlab [as 別名]
# 或者: from matplotlib.mlab import detrend_mean [as 別名]
def test_detrend_mean_1D_base_off(self):
        input = self.sig_base + self.sig_off
        targ = self.sig_base
        res = mlab.detrend_mean(input)
        assert_allclose(res, targ, atol=self.atol)

開發者ID:miloharper，項目名稱:neural-network-animation，代碼行數:7，代碼來源:test_mlab.py

示例7: test_detrend_mean_1D_base_slope

# 需要導入模塊: from matplotlib import mlab [as 別名]
# 或者: from matplotlib.mlab import detrend_mean [as 別名]
def test_detrend_mean_1D_base_slope(self):
        input = self.sig_base + self.sig_slope
        targ = self.sig_base + self.sig_slope_mean
        res = mlab.detrend_mean(input)
        assert_allclose(res, targ, atol=self.atol)

開發者ID:miloharper，項目名稱:neural-network-animation，代碼行數:7，代碼來源:test_mlab.py

示例8: test_detrend_mean_1D_base_slope_off

# 需要導入模塊: from matplotlib import mlab [as 別名]
# 或者: from matplotlib.mlab import detrend_mean [as 別名]
def test_detrend_mean_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.detrend_mean(input)
        assert_allclose(res, targ, atol=1e-08)

開發者ID:miloharper，項目名稱:neural-network-animation，代碼行數:7，代碼來源:test_mlab.py

示例9: test_detrend_mean_1D_base_slope_off_axis0

# 需要導入模塊: from matplotlib import mlab [as 別名]
# 或者: from matplotlib.mlab import detrend_mean [as 別名]
def test_detrend_mean_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.detrend_mean(input, axis=0)
        assert_allclose(res, targ, atol=1e-08)

開發者ID:miloharper，項目名稱:neural-network-animation，代碼行數:7，代碼來源:test_mlab.py

示例10: test_detrend_mean_1D_base_slope_off_list

# 需要導入模塊: from matplotlib import mlab [as 別名]
# 或者: from matplotlib.mlab import detrend_mean [as 別名]
def test_detrend_mean_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.detrend_mean(input.tolist())
        assert_allclose(res, targ, atol=1e-08)

開發者ID:miloharper，項目名稱:neural-network-animation，代碼行數:7，代碼來源:test_mlab.py

示例11: test_detrend_mean_2D_default

# 需要導入模塊: from matplotlib import mlab [as 別名]
# 或者: from matplotlib.mlab import detrend_mean [as 別名]
def test_detrend_mean_2D_default(self):
        arri = [self.sig_off,
                self.sig_base + self.sig_off]
        arrt = [self.sig_zeros,
                self.sig_base]
        input = np.vstack(arri)
        targ = np.vstack(arrt)
        res = mlab.detrend_mean(input)
        assert_allclose(res, targ, atol=1e-08)

開發者ID:miloharper，項目名稱:neural-network-animation，代碼行數:11，代碼來源:test_mlab.py

示例12: test_detrend_mean_2D_none

# 需要導入模塊: from matplotlib import mlab [as 別名]
# 或者: from matplotlib.mlab import detrend_mean [as 別名]
def test_detrend_mean_2D_none(self):
        arri = [self.sig_off,
                self.sig_base + self.sig_off]
        arrt = [self.sig_zeros,
                self.sig_base]
        input = np.vstack(arri)
        targ = np.vstack(arrt)
        res = mlab.detrend_mean(input, axis=None)
        assert_allclose(res, targ,
                        atol=1e-08)

開發者ID:miloharper，項目名稱:neural-network-animation，代碼行數:12，代碼來源:test_mlab.py

示例13: test_detrend_mean_2D_none_T

# 需要導入模塊: from matplotlib import mlab [as 別名]
# 或者: from matplotlib.mlab import detrend_mean [as 別名]
def test_detrend_mean_2D_none_T(self):
        arri = [self.sig_off,
                self.sig_base + self.sig_off]
        arrt = [self.sig_zeros,
                self.sig_base]
        input = np.vstack(arri).T
        targ = np.vstack(arrt)
        res = mlab.detrend_mean(input, axis=None)
        assert_allclose(res.T, targ,
                        atol=1e-08)

開發者ID:miloharper，項目名稱:neural-network-animation，代碼行數:12，代碼來源:test_mlab.py

示例14: test_detrend_mean_2D_axis0

# 需要導入模塊: from matplotlib import mlab [as 別名]
# 或者: from matplotlib.mlab import detrend_mean [as 別名]
def test_detrend_mean_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.detrend_mean(input, axis=0)
        assert_allclose(res, targ,
                        atol=1e-08)

開發者ID:miloharper，項目名稱:neural-network-animation，代碼行數:16，代碼來源:test_mlab.py

示例15: test_detrend_mean_2D_axis1

# 需要導入模塊: from matplotlib import mlab [as 別名]
# 或者: from matplotlib.mlab import detrend_mean [as 別名]
def test_detrend_mean_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.detrend_mean(input, axis=1)
        assert_allclose(res, targ,
                        atol=1e-08)

開發者ID:miloharper，項目名稱:neural-network-animation，代碼行數:16，代碼來源:test_mlab.py

注：本文中的matplotlib.mlab.detrend_mean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。