如何可视化散点图中的非线性关系

从

lowess

Definition: lowess(endog, exog, frac=0.6666666666666666, it=3, delta=0.0, is_sorted=False, missing='drop', return_sorted=True)[...]Parameters----------endog: 1-D numpy array    The y-values of the observed pointsexog: 1-D numpy array    The x-values of the observed points

它以其他顺序接受参数。它还不仅返回

y

>>> lowess(y, x)array([[  0.00000000e+00,   1.13752478e+00],       [  1.00000000e-02,   1.14087128e+00],       [  2.00000000e-02,   1.14421582e+00],       ...,        [  9.97000000e+00,  -5.17702654e-04],       [  9.98000000e+00,  -5.94304755e-03],       [  9.99000000e+00,  -1.13692896e-02]])

但是如果你打电话

ys = lowess(y, x)[:,1]

你应该看到类似