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I'm having serious problems by using the function dplyr :: slice().

I need to create with mutate() a new variable that shows the biggest values just for a variable and an observation. Specifically, I need to show the winner party in an election in each town, but I always get the biggest winner of all the dataframe instead of the winner of each town.

My teacher has told me to use: slice_max(my_variable, n = 1). But I need to link it with another variable. Any ideas?

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I'm working on a webpage showing election results, and I want it to switch from a raw vote map to a percentage map when a percentage is hovered over, using different values for the same key. Changing out the maps is an entirely separate issue, mind, but right now I want to switch out the key labels. The relevant code is currently:

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1. I'm trying to iterate over groups ( groupedby AC No)
2. The groups that meets the given condition (having 12 rows) as output. data.loc[(data['Position'] <= 3) & (data['Votes %'] > 10.0) ].shape[0]) == 12 are assigned a dummy output as 1.

Let's start fresh and simple I have stored my new filtered dataset as

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I have a login page. There, the user enters data and submits to the API. The API gives an answer that there is such a user and gives him an id from the database. I write this id in storage. Next, the user is taken to the home page. There is a component that is responsible for getting the username (and indeed all other data) the essence of the component: 1 The parameter receives an id and forms it into a json request. 2 The parameter sends this request to the API and receives the user's data in the response (if the id matches) 3) return which draws the interface and gives the user data from the API response

Problem: When changing an account (or re-logging in), it gives a json request error (in fact, the API does not accept an empty request, so it rejects it) The point of getting an ID is 100%. When the application is updated again, the id turns out to be generated in json and after that I already get data about the user.

How to fix it? In fact, it must first receive the id, and only then the id is sent and the data is received, however, at the first entry into the application, he does not want to receive the ID immediately, but only after a reboot (ctlr + s in VS code)

//LOGIN.js

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I'm trying to recreate the mean-median difference test described here: Archive of NYT article. I've downloaded House data from MIT's Election Lab, and pared it down to the 2012 Pennsylvania race. Using dplyr, I whittled it down to the relevant columns, and it now looks something like this:

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Im trying to make an ingress for the minikube dashboard using the embedded dashboard internal service.

I enabled both ingress and dashboard minikube addons.

I also wrote this ingress YAML file :

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I have a dataset with the following structure

index candidato Page Name Post Created Date Total Interactions Likes Shares Comments Love Angry 0 António Costa Observador 2022-01-03 4500 340 400 433 545 565

There are 9 different candidato (candidates) and 27 different Page Name

Full dataset can be found here

I need to find a way to calculate, for each Page Name, the totals and the percentage of Total Interactions, Likes, Shares, Comments, Love, and Angry that will result in a DataFrame with the following structure

candidato Page Name Total Interactions Total Interactions Percentage Total Likes Total Likes Percentage Other Columns Other Columns Percentage António Costa Observador 6500 34 23 1% 540 23% Rui Rio Observador 4500 23 value percentage value percentage

The reason why I need to calculate this is in order to produce a percent stacked bar chart such as this one:

What is the best way to achieve this with Pandas? Thank you in advance for your help.

Disclosure This question is to help in a non-for-profit project that analyzes media behaviour, and bias, towards Portuguese candidates to the 2022 general elections. The prior report was made using Google Sheets but analyzing the datasets with Python is the best way, since I plan on doing this every 3 months.

The GitHub repo can be found here, where you can access all datasets and code used.

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I am trying to understand various functions provided by etcd election api and what they mean semantically.

In their official documentation very briefly mentioned about what each function does, and no examples are provided. For example we have methods:

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I have deployed a smart contract on a public testnet and now I am trying to connect to it from the front end using ethers js. But when I try to fetch the value it gives the following errors in the console:

I am using Angular for the front end and here's the code I wrote:

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