PolyFit | Polygonal Surface Reconstruction from Point Clouds | Image Editing library

I have 4 curves that are represented by these vectors:

I can use the polyfit() method with a 2D array as input, to calculate polynomials on multiple data sets in a fast manner. After getting these multiple polynomials, I want to calculate the roots of all of these polynomials, in a fast manner.

There is numpy.roots() method for finding the roots of a single polynomial but this method does not work with 2D inputs (meaning multiple polynomials). I am working with millions of polynomials, so I would like to avoid looping over all polynomials using a for loop, map or comprehension because it takes minutes in that case. I would prefer a vectoral numpy operation or series of vectoral operations.

An example code for inefficient calculation:

Why is min_idxs empty, please? This code works with my original data and this problem happens when I change the curve, but after using artificial data, the same error occurred. Many thanks

i have the following baseline:

and as it can be seen, it has an almost sinusoidal shape. i am trying to use polyfit on it. Actually what I have are two arrays of data,one called x and the other y. So what i am using is:

I have a Python dataframe with over 50 columns that looks like this:

I am trying to model some measures (lux, ohm) that behave as a logarithmic function.

In order to do it, I've tried to model it with MATLAB by projecting the real values using natural logarithms, then use polyfit to get a linear expression. Then, I want to isolate the variable lux.

What I have so far is:

I have several points and a curve discribed as two lists including positions. I try to get the list of differences between the points and the curves. I tried to follow this web, but I do not understand this command:

Consider the code below:

first time poster so apologize in advance for mistakes.

I'm trying to create a matplotlib subplots for a nested for loop.

My data is advertisement data keyword, clicks, bid, day_of_week columns

I want to create 8 plots for each keyword, with x = bids and y = clicks. I would like the first plot to have bids and clicks for that keyword, and 7 others to have bids and clicks for each day of the week (one plot per day of the week)

Right now, I'm able to get the first plot onto the subplot grid (with the formatting looking weird) and the other 7 plots are appearing on their own instead of showing in the subplots. I created a fake df and included the code I'm using below.

What I would like to do:

1. the formatting of the first plot to be fixed
2. I would like the plot for Monday to be in the second subplot spot

I would appreciate any and all tips. Thank you!

image of my data

My current output

My code: