enso | Laravel Vue SPA , Bulma | State Container library

I've been trying to convert my commands to on_message events as in this case, it saves up space and it is cleaner to look at. However I can't seem to use @cooldown() anymore as I have to use commands.Cog.listener()

Is there any other way to get a cooldown working? My code is listed below

I'm modelling species count data that has been collected sporadically over the last ~40 years against a range of environmental predictors. At present, my GAM looks like this:

I am trying to do multi-step time series forecasting using multivariate LSTM in Keras. Specifically, I have two variables (var1 and var2) for each time step originally. Having followed the online tutorial here, I decided to use data at time (t-2) and (t-1) to predict the value of var2 at time step t. As sample data table shows, I am using the first 4 columns as input, Y as output. The code I have developed can be seen here, but I have got three questions.

I'm reading a fixed width format (full source file) full of missing data, so pandas.read_fwf comes in handy. There is an empty line after the header, so I'm passing skip_blank_lines=True, but this appears to have no effect, as the first entry is still full of NaN/NaT:

I have made a plot of sea surface temperature anomaly data as a color gradient in the background using ggplot2. The goal is to be able to look for correlations between ENSO events and species density, size frequencies distributions, or biomass. The gradient is horizontal and based on the following dataset: Nino 34 Data.

Does anyone have any suggestions for making the gradient better so there are no overlapping dates? The data is monthly, and right now I am simply plotting 15 days before the date and 16 days after to leave no small blank spaces. However, this way produces overlap. The ribbon data is the same data but with a plot which I know is accurate (simply there to check that the color gradient is acting appropriately).

This image is what my code produces:

I am rather new to R so any suggestions on the plot would be much appreciated. This is just the first step towards overlaying the other things I mentioned

Here is the code:

I have a table of data in a pandas dataframe, which has each year as row, with each month as column.

I have the following JSON object. I would like to go through it and if the element has a matching co-ordinate, delete the copy and retain the original. I've tried using .filter to strip away the copies but i'm unable to get it working. What would be the best way to strip away copies?

I am calculating ENSO indices using Matlab and one condition is that I have to find anomalous sea surface temperatures. The condition is that an El Niño event is characterised by sea surface temperatures that are 0.5 degrees above the normalised "0-value" for 5 months. I have gotten as far as to make my monthly time series data logical (i.e. "1" is a monthly data value above 0.5 and "0" is a monthly data value below 0.5), but I wanted to know if there was a command in Matlab that allows me to identify when this value repeats 5 times or more.

As an example code:

Set up:

I'm editing products in the online back-end of a webshop.

I have to update prices of hundreds of products and would like to do so via a script.

I've succesfully logged into the system using Selenium and navigated to the product management page which consists of a table containing the products.

Problem:

I can't seem to make selenium manipulate the table. There's an advanced search which seems to be living on the table.

I've tried to enter a text in the search field both via XPath or CSS selector but nothing seems to work.

Python executes the code without an error, but the text won't appear in the search field.

By XPath: