pylab | This is a place of python experimentation

I have the following dataframe [1] which contains information relating to music listening. I would like to print a line graph like the following 2 (I got it by putting the data manually) in which the slotID and the average bpm are related, without writing the values by hand . Each segment must be one unit long and must match the average bpm.

[1]

I am applying PCA in my csv data. After normalization, seems PCA is working. I want to plot projection by making 4 components. but I am stuck with this error :

See https://docs.scipy.org/doc/scipy/reference/generated/scipy.spatial.Delaunay.html

Consider two sets of points. For each point in X_, I would like to find the nearest delaunay neighbours in "points". I think a slow way is to form Delaunay triangulations of points plus a points from X_ one at a time and then do the neighbours lookup somehow. Is there a more efficient way of doing this using scipy (or another tool)?

I was about to plot a Poincare section of the following DE, which is quite meaningful to have a periodic potential function V(x) = - cos(x) in this equation.

After calculating the solution using RK4 with time interval dt = 0.001, the one that python drew was as the following plot.

But according to the textbook(referred to 2E by J.M.T. Thompson and H.B. Stewart), the section would look like as

:

it has so much difference. For my personal opinion, since Poincare section does not appear as what writers draw, there must be some error in my code. However, I actually done for other forced oscillation DE, including Duffing's equation, and obtained the identical one as those in the textbook. So, I was wodering if there are some typos in the equation given by the textbook, or somewhere else. I posted my code, but might be quite messy to understand. So appreicate dealing with it.

I am trying to visualize a random array with the square shape of (10, 10) in Python using matplotlib (3.5 version). I am also including the xaxis and yaxis ticks, but the ticks for 10 show empty data. Does anyone know how to sort it out?

Here's my code:

The below set of code previously worked well and I was able to visualise the boxplot graph well. This code was previously used in another project of mine, and it worked perfectly well. There were no changes done to this piece of code, and it is being reused here.

I have a 'df' dataframe and I am trying to create boxplots to visualise outliers. Unfortunately, the graph doesn't seem to visualise anything. I am not sure what is wrong with my set of code. Could someone please help?

I'm currently trying to make a confusion matrix for my neural network model, but keep getting this error:

I am trying to use matplotlib scatter plot on Python (Jupyter Notebook) to create a t-sne visualization, with different colors for different points.

I am ashamed to admit that I have mostly borrowed prewritten code, so some of the nuance is far beyond me. However, I am running into a ValueError which I can't seem to solve (even after looking at solutions for similar instances of ValueErrors asked here on Stack Overflow).

Running the scatter (relevant code here) returns the ValueError: RGBA sequence should have length 3 or 4; although this is apparently directly caused by the ValueError: 'c' argument has 470000 elements, which is inconsistent with 'x' and 'y' with size 2500.

Background:

I'm processing text (dataset with 1000 documents - applying Doc2Vec using Gensim lib), at the end I have a 300 dimension matrix for each doc.

So, I did this to have a 3 dimensional matrix: