python求斜率_如何计算numpy中的斜率

如果我有一个由50个元素组成的数组，我将如何计算3个周期的斜率和5个周期的斜率？

医生们没有增加太多。。。。。>>> from scipy import stats

>>> import numpy as np

>>> x = np.random.random(10)

>>> y = np.random.random(10)

>>> slope, intercept, r_value, p_value, std_err = stats.linregress(x,y)

这行吗？def slope(x, n):

if i

slope = stats.linregress(x[i:i+n],y[i:i+n])[0]

return slope

但是数组的长度是否相同

@乔：：：xx = [2.0 ,4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30]

x = np.asarray(xx, np.float)

s = np.diff(x[::3])/3

window = [1, 0, 0, 0, -1]

window2 = [1, 0, -1]

slope = np.convolve(x, window, mode='same') / (len(window) - 1)

slope2 = np.convolve(x, window2, mode='same') / (len(window2) - 1)

print x

print s

print slope

print slope2

结果。。。。。[ 2. 4. 6. 8. 10. 12. 14. 16. 18. 20. 22. 24. 26. 28. 30.]

[ 2. 2. 2. 2.]

[ 1.5 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. -6. -6.5]

[ 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. 2. -14.]

除了-6、-6.5和-14不是我要找的结果外，斜率和斜率2是Im之后的结果。

这起作用。。。。。。。window = [1, 0, 0, -1]

slope = np.convolve(xx, window, mode='valid') / float(len(window) - 1)

padlength = len(window) -1

slope = np.hstack([np.ones(padlength), slope])

print slope