编写自定义函数乘以x,y的平均值
x=[17,13,12,15,16,14,16,16,18,19]
y=[94,73,59,80,93,85,66,79,77,91]我有两个列表,我想计算它的平均值。在得到两个平均值后,我想乘以
这段代码我试图实现这个功能,但无法获得预期的输出。如果有什么帮助
def X_bar_y_bar(x,y):
x1=[]
y1=[]
ab=[]
for i in x:
result_x1=i-sum(x)/float(len(x))
result_x1=result_x
x1.append(result_x1)
for k in y:
result_y1=k-sum(y)/float(len(y))
result_y1=result_y
y1.append(result_y1)
total=0
for i in x1:
for j in y1:
r1=i*j
total = +r1
print("{:.2f}".format(total))期望产出:
20.02
17.42
74.52
-0.18
5.32
-5.48
-0.28
-6.48
38.42发布于 2018-12-10 13:23:07
如果不必使用“numpy”,则可以使用以下代码:
x=[17,13,12,15,16,14,16,16,18,19]
y=[94,73,59,80,93,85,66,79,77,91]
def X_bar_y_bar(x,y):
xave = sum(x)/float(len(x))
yave = sum(y)/float(len(y))
for i in range(len(x)):
result=((x[i]-xave)*(y[i]-yave))
print("{:.2f}".format(result))
X_bar_y_bar(x,y)与代码相比,很少有更改:
1)平均计算一次,你应该把它从循环中取出来。2)赋值‘Resulx1=result’,什么也不做,跳过它
发布于 2018-12-10 13:06:12
您确实应该将NumPy用于以下内容:
import numpy as np
x=np.array([17,13,12,15,16,14,16,16,18,19])
y=np.array([94,73,59,80,93,85,66,79,77,91])
(x - np.mean(x)) * (y - np.mean(y))
# array([20.02, 17.42, 74.52, -0.18, 5.32, -8.48, -5.48, -0.28, -6.48, 38.42])https://stackoverflow.com/questions/53706076
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