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Mastering Development

pandas: Getting the value of next column, after finding string in multiple columns

How does one get next column, after a string search in multiple columns? My data has a various length of sets as below. I want to find ‘AA’ in ‘n(index)’ column and get the value in ‘v(index)’ which is just next to it. df = pd.DataFrame(columns = [‘n1’, ‘v1’, ‘n2’, ‘v2’, ‘n3’, ‘v3’, ‘n4’, ‘v4’]) […]

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Mastering Development

How to count number of observations that were negative before receiving a positive result

I am working with some clinical data and I would like to count the number of tests someone had that were "Not Detected" before they had a "Detected" result and exclude anyone that never had a "Detected" result. ID <- c(1,1,2,2,3,3,3,4) Specimen_Type <- c("NP", "NP", "Throat", "Throat", "NP", "Throat", "Throat", "NP") RESULT_VAL <- c("Not Detected", […]

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Raspberry Pi User Help

Using CEP in python

I’ve been working on a project that uses a raspberry pi hooked up to a ublox Zed-f9p gps. I have the GPS hooked up to a NodeMCU-ESP32s that is connecting to a local NTRIP server and getting RTCM corrections. The issue that I am having is that cgps is not updating SEP. The only way […]

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Ask Games RPG Games

Chances of specific sequence in X amount of dice?

So after fumbling around in AnyDice for awhile, I’m struggling to find a solution. Here’s what I’m looking for: What are the chances of rolling a specific number that matches a specific sequence in order in multiple dice? For example, in Xd6, I’m trying to figure out what that chances of rolling a 5+, THEN […]

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Mastering Development

Python csv to Nested Json

I have a csv available for which I need to create a nested Json. Where a Id has to be root and date in subroot then all the key and values. I have converted the csv to Json but Iam struggling to get it in required format. I have achieved until here in my code. […]

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Mastering Development

Python iterating through dictionary

I am trying to iterate through a dictionary and I’m not sure how to update while looping through. What I’m trying to do (Simulating LFU cache): Requests are taken, Iterate through each requests one by one and count the frequency of each using dictionary. If the dictionary holds more than 8 keys remove the lowest […]

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Mastering Development

Getting the name of a specific column of df within a list

Example Data: df1 <- as.data.frame(rbind(c(1,2,3), c(1, NA, 4), c(NA, NA, NA), c(4,6,7), c(4, 8, NA))) df2 <- as.data.frame(rbind(c(1,2,3), c(1, NA, 4), c(4,6,7), c(NA, NA, NA), c(4, 8, NA))) dfList <- list(df1,df2) colnames <- c("A","B","C") dfList[[1]] # V1 V2 V3 # 1 1 2 3 # 2 1 NA 4 # 3 NA NA NA # […]

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Mastering Development

Is there a more concise way to conditionally loop over rows in a dataframe?

I have a simple dataframe and would like to apply a function to a particular column based on the status of another column. myDF = pd.DataFrame({‘trial’: [‘A’,’B’,’A’,’B’,’A’,’B’], ‘score’: [1,2,3,4,5,6]}) I would like to multiply each observation in the score column by 10, but only if the trial name is ‘A’. If it is ‘B’, I […]

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Mastering Development

Is this prediction acceptable or not?

I have started a course on machine learning, and in one of the lessons, the teacher said that is not necessary to do it when using Multiple linear regression. My problem appears when I was doing an exercise, where the data set is this: 2104,3,399900 1600,3,329900 2400,3,369000 1416,2,232000 3000,4,539900 1985,4,299900 1534,3,314900 1427,3,198999 1380,3,212000 1494,3,242500 1940,4,239999 […]

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Mastering Development

Can I “pair” traces in Shiny plot_ly so that two traces appear/disappear when clicking on legend?

I’m creating an app where I have regional data on a few vars. The app allows you to select via a selectInput the region the user wants to visualize. For comparison/information purposes, I’d like the user to visualize both the region selected as well as the national average in the plot_ly. However, I’d like the […]