Matplotlib | matplotlib 绘图可视化知识点 | Data Visualization library

Here's my csv file CSV

I'm trying to take the mean of columns "Angle Min" and "Angle Max" and then multiply every row in the resulting dataframe with the "Angle Conversion Factor" in cell D8. Likewise I want to do the same with "Torque Min" and "Torque Max" (get the mean and then multiply the resulting dataframe by the "Torque Conversion Factor" in Cell E8).

Here's my code so far:

I am trying to reduce lines of code because I realized that I am repeating the same equations every time. I am programming a contour map and putting several sources of intensity into it. Until now I put 3 sources, but in the future I want to put more, and that will increase the lines a lot. So I want to see if it is possible to reduce the lines of "source positions" and "Intensity equations". As you can see the last equation is a logaritmic summation of z1, z2 and z3, is it possible to reduce that, any idea?

So... I can sympy.integrate a normal distribution with mean and standard deviation:

In the following histogram,

I have a red and a blue area between some graphs. Where the two areas overlap, I want the area to be hatched in red and blue, i.e. red and blue stripes (like in the picture, but blue and red instead of white and red). So I want to pass the two colors by their color code onto the function. Is this possible with matplotlib.pyplot.fill_between? Or how could I do this?

Say I had 6 plots I wanted to arrange into a subplot setup in the usual way (plt.subplots etc.).

However for visualisation reasons I need them arranged in the following way:

I have a list of 9 colors like this:

Good morning,

I am creating an animation by connecting 6 nodes coordinates at 10 different time steps.

I start with a test: I first create a static plot for a time equal to 2 (for example) and I get the exact static plot that I am expecting: all and only the consecutive nodes are connected.

Then I create the animation. Unfortunately, the animated plot connects the nodes in the wrong way. You can see that the animation connects the consecutive nodes, but also the second and the second to last nodes.

Any idea why? Thanks

This python 2 code generates random time series data with a certain noise: