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I'm using python-docx to create a document with a table I want to populate from textual data. My text looks like this:

I am attempting to solve a coding challenge however my solution is not very performant, I'm looking for advice or suggestions on how I can improve my algorithm.

The puzzle is as follows:

You are given a grid of cells that represents an orchard, each cell can be either an empty spot (0) or a fruit tree (1). A farmer wishes to know how many empty spots there are within the orchard that are within k distance from all fruit trees.

Distance is counted using taxicab geometry, for example:

I have a question concerning rasterization of polygons by maximum overlap, i.e assign the value of the polygon that has the highst area overlap with the raster cell.

The real world exercise is to rasterize polygons of soil-IDs in R, in order to produce relatively low resolution maps of soil properties as model inputs.

The problem is that the rasterize() function of the terra package (and similar stars' st_rasterize()) assigns the cell value from the polygon that contains the cell midpoint. If a raster cell contains multiple polygons, I would rather like to select the value of the polygon (soil-ID), which has the highest aerea cover in a raster cell.

Here is a small self-contained example that visualizes my problem, using terra.

I'm trying to create a board game with p5.js (Javascript)

To set up the game board which is a 6 by 6 grid, I have to fill the grid with 6 colors in a way that no horizontal or vertical touching cells have the same color. And all 6 colors have to be used in 6 cells.

But now I'm struggling a bit creating an algorithm that places the colors randomly but keeping the rules.

I tried to start at the top left corner, filling with a random color. Then I start to fill the cell to the left and the bottom with a different color.

The problem is, that when the script wants to fill the last few cells, there are no colors left to use (either already 6 cells filled or a remaining color is a neighbor)

Example: Still two cells need to be red, but only one place is left for red (under white):

My current dataset looks something like this:

I have a Python code that is creating HTML Tables and then turning it into a PDF file. This is the output that I am currently getting

This image is taken from PDF File that is being generated as result (and it is zoomed out at 55%)

I want to make this look better. Something similar to this, if I may

This image has 13 columns, I don't want that. I want to keep 5 columns but my major concern is the size of the td in my HTML files. It is too small in width and that is why, the text is also very stacked up in each td. But if you look at the other image, text is much more visible and boxes are much more bigger width wise. Moreover, it doesn't suffer from height problems either (the height of the box is in such a way that it covers the whole of the PDF Page and all the tds don't look like stretched down)

I have tried to play around the height and width of my td in the HTML File, but unfortunately, nothing really seemed to work for me.

Edit: Using the code provided by onkar ruikar, I was able to achieve very good results. However, it created the same problem that I was facing previously. The question was asked here: Horizontally merge and divide cells in an HTML Table for Timetable based on the Data in Python File

I changed up the template.html file of mine and then ran the same code. But I got this result,

As you can see, that there were more than one lectures in the First Slot of Monday, and due to that, it overlapped both the courses. It is not reading the

The modified template.html file has this code,

In VBA, if I understand correctly, emptiness means that a variant has not been initialized, i.e., it is the default value of a variant before an assignment.

There appear to be four ways to test if a variant is empty:

Please note this question is an extension of this previously asked question: How to make Images/PDF of Timetable using Python

I am working on a program that generates randomized Timetable based on an algorithm. For the Final Output of that program, I require a Timetable to be stored in a PDF File.

There are multiple sections and each section must have its own timetable/schedule. Each Section can have multiple Courses whose lectures will be allocated on different slots from Monday to Friday by the algorithm. For my timetable,

• There are 5 days in total (Monday to Friday)
• Each day will have 5 slots (0 to 4 in indexes. With a "Lunch" Break between 3rd and 4th slot)

As an Example, I have created below a dictionary where key represents the Section and the items have a 2D Array of size 5x5. Each Index of that 2D array contains the course details for which the lecture will take place in that slot.

I am trying to pivot a table that has headings and sub-headings, so that the headings go into a column "date", and the subheadings are two columns instead of repeating.

Here is an example of my data.

This was produced using dput(), so while in the original excel file, each date spanned over both sub-headings ("blue" and "green"), once in R, these blank cells were re-named X.1, X.2, etc.