data_process

I'm trying to send an image file from a node.js server across a TCP/IP connection. I converted the image file to a hexadecimal string using fs.createReadStream and received the hex string as expected on the client side. Now I need to figure out how to reconstruct the image on the client side using the hex string.

Node.js code:

I am trying to use DataFrame.apply() to add new columns to a dataframe. The number of columns being added is dependent on each row of the original dataframe. There is overlap between the columns created for each row, these overlapping columns should be represented by a single column.

The apply function seems to work just fine on each individual row of the original dataframe, but throws ValueError: cannot reindex from a duplicate axis in the combine phase. I'm not sure how to isolate which axis is being duplicated, since it's hidden behind .apply()

To make things more complicated, this process works on various subsets of the data (n = 23565), but for some reason when I try to apply to the whole dataframe it fails. I think there may be a handful of rows that are causing the issue, but I haven't been able to isolate exactly which rows.

Any advice on isolating the error or clarifying the question is welcome.

The original dataframe om contains columns representing scores, changes in scores, and the date range of the change in score. om is indexed on EntityID and Date, where EntityID is a unique identifier for the client receiving scores. I want to incorporate values from another dataframe, services, which contains information about services provided to clients indexed on date.

For each row in om I want to perform the following transformation:

• Filter service by EntityID and between om.ScoreDate and om.LastScoreDate
• Find the sum of service.Total by service.Description
• Append the resulting series to the original row

Having issues with kedro. The 'register_pipelines' function doesn't seem to be running or creating the default Pipeline that I'm returning from it.

The error is

I am having trouble with this relativity simple pivoting problem with tidyr. This is best illustrated by and example. I have this unprocessed data:

I'm trying to load a gstreamer plugin using boost::process to call gst-launch.

When I load the plugin via the command line everything works well:

I have two Python scripts with nearly identical code. One of them is working, the other fails with the error message

Im trying to train a lightGBM model on a dataset consisting of numerical, Categorical and Textual data. However, during the training phase, i get the following error:

I am trying retrieve stock prices and process the prices them as they come. I am a beginner with concurrency but I thought this set up seems suited to an asyncio producers-consumers model in which each producers retrieve a stock price, and pass it to the consumers vial a queue. Now the consumers have do the stock price processing in parallel (multiprocessing) since the work is CPU intensive. Therefore I would have multiple consumers already working while not all the producers are finished retrieving data. In addition, I would like to implement a step in which, if the consumer finds that the stock price it's working on is invalid , we spawn a new consumer job for that stock.

So far, i have the following toy code that sort of gets me there, but has issues with my process_data function (the consumer).

What I'm trying to do is create 1 window with 8 check boxes. The user will click the ones that are relevant and press "Calculate Job". That button should then open a new window that contains buttons/sections/whatever for only the options that were selected in window 1. Sounds ok... I have window 1 set up in class First. When I click the button it shows up the new window, great! But now I need to find a way to say "If any of these sections are selected then do something in window 2".

code: