yr | Yr makes it easy to get weather forecast from Yr.no | Predictive Analytics library

I have an issue where I need to determine fiscal quarters, but won't always know the start/end dates for the quarters. They will, however, always be 3 months long. What I will know is the ending date of the current quarter, and what quarter and year that refers to. For example, I might be given:

Current Quarter: Q4
Current Year: 2021
Current Quarter End Date: 1/31/2021

How can I get the quarter for any other date? If any of those 3 values were to change, the query still needs to provide the quarter for any given date based on those 3 parameters.

I came up with the following, which puts the last 4 years into a temp table:

The title of my y-axis is long and includes mathematical notation at the end of it. Ideally, the title would occupy 2 rows with the top saying "Long Title Example" and the bottom saying "with Mathematical Operation (% yr-1)". How can I wrap the y-axis title?

I have seen this SO question but I can not seem to get it to work when there is mathematical notation in the title.

Example figure with a long title that includes mathematical notation

I'm really struggling here and I can't get it right, not even knowing why. I'm using p5.js in WEBGL mode, I want to compute the position of on point rotated on the 3 axes around the origin in order to follow the translation and the rotation given to object through p5.js, translation and rotatation on X axis, Y axis and Z axis.

The fact is that drawing a sphere in 3d space, withing p5.js, is obtained by translating and rotating, since the sphere is created at the center in the origin, and there is no internal model giving the 3d-coordinates.

After hours of wandering through some math too high for my knowledge, I understood that the rotation over 3-axis is not as simple as I thought, and I ended up using Quaternion.js. But I'm still not able to match the visual position of the sphere in the 3d world with the coordinates I have computed out of the original point on the 2d-plane (150, 0, [0]).

For example, here the sphere is rotated on 3 axis. At the beginning the coordinates are good (if I ignore the fact that Z is negated) but at certain point it gets completely out of sync. The computed position of the sphere seems to be completely unrelated:

It's really hours that I'm trying to solve this issue, with no result, what did I miss?

Here it follows my code:

I have a dataframe of the following format

I have a list in python which has below data . each data represent a table name

[tablename_20211011, tablename_20201010, tablename_20211009, tablename_20211009, tablename_20211008]

20211011 -- this is the date when table got created how i can fetch the table names which are created in last 1 year python.

if crteria is 1 yr then result should be tablename_20211011,tablename_20211009, tablename_20211008,tablename_20211009

I am trying to create a dynamic memory allocation string so which returns a string removing all vowels. In the beginning, some of the strings work correctly but suddenly some of them returns with an extra value which makes me fail the test, and I am failing to complete the task. Here is the code:

Say I have the 2 Dataframes below; one with a list of students and test scores, and different student sessions that made up of the students. Say I want to add a new column, "Sum", to df with the sum of the scores for each session and a new column for the number of years passed since the most recent year that either student took the test, "Years Elapsed". What is the best way to accomplish this? I can make the students a class and make each student an object but then I am stuck on how to link the object to their name in the dataframe.

My problem is similar to the one encountered on this topic: Change heatmap's yticks for multi-index dataframe

I would like to have yticks every 6 months, with them being the index of my dataframe. But I can't manage to make it work.

The issue is that my dataframe is 13500*290 and the answer given in the link takes a long time and doesn't really work (see image below).

This is an example of my code without the solution from the link, this part works fine for me:

I have a DataFrame like this: