Jody | A BDD Framework for Node.js , with support for http testing | Unit Testing library

I want to select the first node in the linked list and present the selected node. This is the whole code that I've created. The "prepend" adds the node before the first node. The "append" adds the node after the last of the linked list.

I have a data below:

I want to create an animation from roughly 250 individual frames, showing data plotted as 2D images in a figure with 4 x 11 subpanels. The data represent power spectra of velocity as a function of temporal frequency and latitude. However, each frame takes about 4 seconds to create and save, including run-time computation of the data. In the non-interactive plotting mode, I use 'agg' as the backend to avoid time spent for interactivity plotting features.

The speed bottleneck here is not the computation of the data to plot, but saving the plots to disk. Example run-times for random data (see code below) and only 5 frames without saving the plots are sth. like 5 seconds, with saving the plots 17-19 seconds. For the actual data I use, there are some more plot artists to be drawn (text on panels, an additional line plot etc.), but the script execution time is quite similar. For the about 250 frames in total, this indicates roughly 900 seconds, thus 15 minutes to compute the data and then save the plots. However, since I likely want to generate similar frames several times or with slightly different data, it would be good to decrease this script execution time.

A (hopefully) reproducible code, using random data, but with data sizes equal to the actual data I use, is given below. An example frame (the first one generated by the code) can also be found below. In the code, the function create_fig() generates a figure with subpanels containing dummy data and in the for-loop over the different frames, only the data in the subpanels is replaced.

Is there a way to speed-up saving the plots into the png files? Any help is much appreciated!

I am trying to plot a series of character that have been segmented, each character has the same height but a relative width dependant on if the segmentation was successful. However, this changing width is affecting the height of the subplot. Is there a way to make each of these subplots the same shape? I have tried each of the following:

I have a list called transactions_clean, cleaned up from whitespace etc., look like this:

I have a very large json file (9GB). I'm reading in one object from it at a time, and then deleting key-value pairs in this object when the key is not in the list fields.

Each object is basically someone's user profile on a job searching website, but it comes with many unwanted key-value pairs that are not relevant to my analysis. There are about 3 million of these profiles.

I'd like to write each new profile/object to a json file, cleaned.json. Essentially this should be a copy of the original json file, except any of the key-value pairs not mentioned in fields have been removed from all 3 million profiles.

To do this, I wrote the following code:

Below is some code: I want to run the final for loop and I receive this asinine unindent error upon compilation. I know python's indentation rules are pretty straight forward and more or less represent {} in C. WHY am I getting "

I am wanting to merge together 2 different collections.

Example collection 1: (linqpad to live sql server)

Let's say there's a plot that has two marginal plots. How can fill_between be used for the vertical plot?