在python中的interp2函数类似于MATLAB的interp2。

I am new to python and an amateur programmer so please bear with me. Right now I have a matrix which is 15x9. I essentially want to expand this matrix such that it contains more values. Thus I want to interpolate this data a number times, similar to the interp2 function in MATLAB which allows you to interpolate n times.
If you could perhaps show me a function that perform this task or even steps as to how to solve this problem any help would be greatly appreciated.

我是python的新手和业余程序员，所以请宽容我。现在我有一个矩阵，它是15x9。我想要扩展这个矩阵，使它包含更多的值。因此，我想要把这个数据插入一个数字时代，类似于MATLAB中的interp2函数，它允许你插入n次。如果您可以向我展示一个执行这个任务的函数，或者甚至是关于如何解决这个问题的步骤，您将非常感激。

Sorry I should have stated this before, but yes I am using a numpy array, not a list.

对不起，我之前应该说过，但是我使用的是numpy数组，而不是列表。

2 个解决方案

#1

I have encountered the same issue, and figured out that scipy.ndimage.map_coordinates does the same as Vq = interp2(V,Xq,Yq). Please read the documentation of these commands to find out the solution for your case.

我也遇到过同样的问题，并发现了这个问题。map_坐标与Vq = interp2(V,Xq,Yq)相同。请阅读这些命令的文档，找出你的案例的解决方案。

Try this for Matlab's Vq = interp2(V,Xq,Yq) :

尝试用Matlab的Vq = interp2(V,Xq,Yq):

Vq = scipy.ndimage.map_coordinates(V, [Xq.ravel(), Yq.ravel()], order=3, mode='nearest').reshape(V.shape)

#2

Use griddata from scipy.

使用来自scipy griddata。

Tutorial here: http://docs.scipy.org/doc/scipy/reference/tutorial/interpolate.html

教程:http://docs.scipy.org/doc/scipy/reference/tutorial/interpolate.html

#1