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I'm trying to produce rolling regressions using the sklearn package and subsequently plot them in using matplotlib.

I've been able to produce the rolling regression coefficients, but appending output is resulting in a 3-D list that I'm having difficulty plotting.

Code below is giving the following error:

ValueError: x and y can be no greater than 2-D, but have shapes (130,) and (130, 1, 5)

I've created an object that has about 7+ parts to it including its body and smaller parts that 'attach' to it in different places. My goal is to rotate the entire object. I tried to simply call glRotatef(angle, 0, 1, 0) before constructing the entire object, but I realize that this seems to rotate 'everything' around the origin, no matter the translation. The following code was an attempt to rotate the body itself and rotate the attached parts to it.

I'm attempting to draw an eclipse-shaped object so I used a sphere and scaled it as necessary. I'm attempting to rotate this eclipse-shaped object with the following code but it won't budge (or at least it doesn't look like it's budging). I've tested by simply changing to another 3D shape and it rotates. Is there something I'm doing wrong? What's so different about a glutSolidSphere?

I have a picture of goldfish in a page, but it doesn't move when I change the values of the position

This is my pandas dataframe.

i need to test some algorithms from scikit-feature and i want to use some datasets that are in text file, for example: link

I only know that the matlab files the algorithms use as input, are formated like this: the class is in a 'Y' array and the data in a 'X' array, here is some code to show just how they open and get the data from the .mat files:

Here is the algorithm code