擅长:python、mysql、java
<p>看一下<a href="http://docs.scipy.org/doc/scipy-0.14.0/reference/generated/scipy.stats.linregress.html" rel="nofollow">^{<cd1>}</a>的文档:第一个参数是<code>x</code>,横坐标,第二个参数是<code>y</code>,你观察到的值。{{{cd7}的值不应该根据cd2}来计算</p>
<pre><code># This calculates the regression equation.
slope, intercept, r_value, p_value, std_err = scipy.stats.linregress(x=Weight, y=Mortality)
# This calculates the predicted value for each observed value
obs_values = Mortality
pred_values = []
for i in Weight:
pred_i = float(i) * float(slope) + float(intercept)
pred_values.append(pred_i)
</code></pre>
<p>另外,您可以使用numpy(scpy无论如何都会使用它)来大幅减少(并加速)代码。在</p>
^{pr2}$