skew | Skew is a package for identifying and enumerating cloud | AWS library

I have a image in 16:9 (1920 x 1080) of a draw with some led light strips on it.

My objective is to implement a div of a gradient color to simulate a light effect, but I can only make this when the image is static on the background. When I implement a object-fit: cover; property, the light div doesn't keep his position on the right area.

I have already tried to use background-image instead of tag and tried to create a wrapper with position relative and absolute. Also, I'm using only responsive values into the css (percentages and viewport).

I think that the problem is in the fact that the object-fit: cover adjusts the image with zooms, and the div image doesn't follow that.

That's the image I'am using on this project. There's already a pink light coming out the LED strips on the draw, and I'm trying to make a new light above the pink one with a div.

This green light is the div that I'm trying to put above the pink light:

Sometimes the result of a function can not be represented by a single return value. For example: A function that intersects two lines. One might want the function to return both the actual point of intersection as well as their relation to each other (that is parallel, identical, intersecting or skewed).

Let us assume this example where the point of intersection is represented by some sort of class and the lines positional relation by an integer holding a specified value for each of the 4 possibilities:

I am printing moving averages on a mplfinance plot, as expected there are gaps.

On most charting software, i.e. TradingView etc, they do not have gaps on the moving averages - and presume they are pulling the data from previous -n elements (even with a discontinuous jump they accept this).

I have two questions please:

1. How can I run a moving average without a gap (understanding it would be skewed within n elements of the discontinuity)... i.e. pull in the day prior and use this for moving average calculation but do not display that day (so that the moving average will already be running on the left hand side of the plot - for below that would be startng at Dec 21st)?

2. If i wanted to calculate this moving average outside of mplfinance internal function (or change to exponential moving average etc) how would I go about adding this as a separate plot on top of the candlesticks?

And my code is below:

I have two samples from the population of neurons in the brain, each sample consisting of a thousand neuron instances, of categories:

1. cerebellum
2. cortex

Now I'm extracting multiple metrics for each sample using complex network analysis, for example, neuron degree of connectivity k, a discreet number n = 0, 1, ...., n, or clustering coefficient C, a continous value between 0.00000 and 1.00000.

df.sample(3) (where web is category) in my pandas dataframes:

cortex:

Computing nx.triangles(G) on an undirected graph with about 150 thousand nodes and 2 million edges, is currently very slow (on the scale of 80 hours). If the node degree distribution is highly skewed, is there any problem with counting triangles using the following procedure?

This is for viewing purposes. The actual scales are the same.

A short version of my question would be "Force grids to be square in plots".

As can be seen in the screenshot taken from the plot in Atom, while the axis are the same increments numerically, the grids are rectangular rather than square. I am not sure how to fix this. because the plot is wider than it is high, it skews the plot when I look at it.

if you do a quick estimate of the height of the Z and length of the X axis just using your fingers, you can tell that the X axis is considerably longer.

I am doing some time series forecasting analysis with the fable and fabletools package and I am interested in comparing the accuracy of individual models and also a mixed model (consisting of the individual models I am using).

Here is some example code with a mock dataframe:-

So I wanted to build an infinite gallery with the following layout: Expected result (the first picture also gets a border)

As you can see, only the currently active picture is visible and the inactive pictures are only indicated by their borders and the container is translucent.

Now what makes this a bit tricky, is that the borders aren't a regular rectangle but shifted to a parallelogram. To achive this I've tried the following two approaches:

My first approach was to just use CSSs transform: skewX(deg);

Sadly skew doesn't only shift but also distortes the picture..

with the layout as following

I am trying to implement a 'click anywhere' feature in plotly so that I can get the coordinates on user clicks anywhere on plotly charts. The current "official" plotly functionality only works when users click on a plotted data point, but I want to register clicks e.g. on the background white canvas.

Shiny click events for plots can do that, but surprisingly this doesn't seem to exist yet in plotly.

I made some research and found the following codepen implementation which comes close: https://codepen.io/tim-logan/pen/yLXgpyp