本文整理汇总了Python中matplotlib.mlab.detrend_mean方法的典型用法代码示例。如果您正苦于以下问题：Python mlab.detrend_mean方法的具体用法？Python mlab.detrend_mean怎么用？Python mlab.detrend_mean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类matplotlib.mlab的用法示例。
在下文中一共展示了mlab.detrend_mean方法的15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_detrend_mean_0D_zeros
# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import detrend_mean [as 别名]
def test_detrend_mean_0D_zeros(self):
input = 0.
targ = 0.
res = mlab.detrend_mean(input)
assert_almost_equal(res, targ) 示例2: test_detrend_detrend_mean_0D_zeros
# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import detrend_mean [as 别名]
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) 示例3: test_detrend_mean_0D_off
# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import detrend_mean [as 别名]
def test_detrend_mean_0D_off(self):
input = 5.5
targ = 0.
res = mlab.detrend_mean(input)
assert_almost_equal(res, targ) 示例4: test_detrend_detrend_mean_0D_off
# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import detrend_mean [as 别名]
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) 示例5: test_detrend_mean_1D_zeros
# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import detrend_mean [as 别名]
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) 示例6: test_detrend_mean_1D_base_off
# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import detrend_mean [as 别名]
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) 示例7: test_detrend_mean_1D_base_slope
# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import detrend_mean [as 别名]
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) 示例8: test_detrend_mean_1D_base_slope_off
# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import detrend_mean [as 别名]
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) 示例9: test_detrend_mean_1D_base_slope_off_axis0
# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import detrend_mean [as 别名]
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) 示例10: test_detrend_mean_1D_base_slope_off_list
# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import detrend_mean [as 别名]
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) 示例11: test_detrend_mean_2D_default
# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import detrend_mean [as 别名]
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) 示例12: test_detrend_mean_2D_none
# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import detrend_mean [as 别名]
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) 示例13: test_detrend_mean_2D_none_T
# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import detrend_mean [as 别名]
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) 示例14: test_detrend_mean_2D_axis0
# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import detrend_mean [as 别名]
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) 示例15: test_detrend_mean_2D_axis1
# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import detrend_mean [as 别名]
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)