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I am working on a large Pandas DataFrame which needs to be converted into dictionaries before being processed by another API.

The required dictionaries can be generated by calling the .to_dict(orient='records') method. As stated in the docs, the returned value depends on the orient option:

Returns: dict, list or collections.abc.Mapping

Return a collections.abc.Mapping object representing the DataFrame. The resulting transformation depends on the orient parameter.

For my case, passing orient='records', a list of dictionaries is returned. When dealing with lists, the complete memory required to store the list items, is reserved/allocated. As my dataframe can get rather large, this might lead to memory issues especially as the code might be executed on lower spec target systems.

I could certainly circumvent this issue by processing the dataframe chunk-wise and generate the list of dictionaries for each chunk which is then passed to the API. Furthermore, calling iter(df.to_dict(orient='records')) would return the desired generator, but would not reduce the required memory footprint as the list is created intermediately.

Is there a way to directly return a generator expression from df.to_dict(orient='records') instead of a list in order to reduce the memory footprint?

I want to use Julia to reshape an array like this:

Suppose I have a dataframe with multiple boolean columns representing certain conditions:

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,

I have a vector x of type Eigen::VectorXi with more than 2^31-1 entries, which I would like to return to R. I can do that by copying x entry-wisely to a new vector of type Rcpp::IntegerVector, but that seems to be quite slow.

I am wondering:

1. whether there is a more efficient workaround;
2. why in the following reproducible example Rcpp::wrap(x) doesn't work.

test.cpp

How can I initialize new Vector using the vec! macro and automatically fill it up with values from an existing array? Here's the code example:

I have a vector with values (val) and a vector indicating group membership (group):

HelloWorld.vue

(Solution has been found, please avoid reading on.)

I am creating a pixel art editor for Android, and as for all pixel art editors, a paint bucket (fill tool) is a must need.

To do this, I did some research on flood fill algorithms online.

I stumbled across the following video which explained how to implement an iterative flood fill algorithm in your code. The code used in the video was JavaScript, but I was easily able to convert the code from the video to Kotlin:

https://www.youtube.com/watch?v=5Bochyn8MMI&t=72s&ab_channel=crayoncode

Here is an excerpt of the JavaScript code from the video:

Converted code: