我尝试从不同的数组(例如np.mean(,axis=1)，但具有不同的x值)计算y的平均值.
I tried to calculate the average of y from different arrays such as np.mean(,axis=1), but with different x values.
要生成x和y数组，我使用了以下代码:
To produce x and y arrays, I used the code as below:
x1=np.arange(10) x2 = np.arange(10)+1 x3 = np.arange(10)+2 x4 = np.arange(10)+3 y1 = x1+1 y2 = x2+2 y3 = x3+3 y4 = x4 +4代码产生:
x1 = [0 1 2 3 4 5 6 7 8 9] x2 = [ 1 2 3 4 5 6 7 8 9 10] x3 = [ 2 3 4 5 6 7 8 9 10 11] x4 = [ 3 4 5 6 7 8 9 10 11 12] y1 = [ 1 2 3 4 5 6 7 8 9 10] y2 = [ 3 4 5 6 7 8 9 10 11 12] y3 = [ 5 6 7 8 9 10 11 12 13 14] y4 = [ 7 8 9 10 11 12 13 14 15 16]如果我绘制(x1，y1)，(x2，y2)，(x3，y3)，(x4，y4)，则y值将从0到16之间的x值分布如下.在图中，某些x值只有一个y值，而其他x值可能具有多个值.我想取每个x值的y值的平均值.
If I plot (x1,y1), (x2,y2), (x3,y3), (x4,y4), y values are distributed from x values between 0 and 16 as below. Some x value have just one y values and other may have several values in the plot. I would like to take an average of y values at each x values.
推荐答案
import numpy_indexed as npi x = np.concatenate([x1,x2,x3,x4]) y = np.concatenate([y1,y2,y3,y4]) x_unique, y_mean = npi.group_by(x).mean(y)