问题描述
例如，如果我有两个大小不同的数据集:
If I have two datasets with different sizes for example:
x1 = [0,2,5,10,12,20,15,14] #length = 8
y1 = [0,0.3,0.6,1.1,1.3,2.1,1.6,1.5] #length = 8
x2 = [0,2,4,5,10,12,13,20,18,15,14] #length = 11
y2 = [0.3,0.4,0.5,0.7,1.1,1.3,1.4,2.2,1.6,1.9,1.8] #length = 11
如何获取x1，y1数据以匹配x2，y2数据大小?因此它们的长度均为11.
How can I get the x1,y1 data to match the x2,y2 data size? So they both get length 11.
我看过 scipy.interpolate 及其其他功能.但是我没有得到正确的数字，或者我使用了错误的函数.如果有人知道正确的功能或其他解决方法，那就太好了.
I have had a look at scipy.interpolate and its other functions. But I don't get correct numbers, or I am using wrong functions. If someone knows the correct function or a different method to solve this, then it would be great.
因此，x1，y1的最终长度为11.
So the final lengths of x1,y1 would be 11.
推荐答案
我会使用interp1
I would use interp1
https://uk.mathworks.com/help/matlab/ref/interp1.html
x1i = interp1(1:8，x1，linspace(1,8,11)，'spline');
x1i = interp1(1:8, x1, linspace(1,8,11), 'spline');
y1i = interp1(1:8，y1，linspace(1,8,11)，'spline');
y1i = interp1(1:8, y1, linspace(1,8,11), 'spline');
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