Firth | strongly dynamically-typed , concatenative stack | Functional Programming library

I have a few components: A, B , C in component A i have an array.

When i select an item from component A:

I have an emit to a method in component B that show filesArray.length with data:{filesArray:[]}

Inside component B i have component C with props: filesArray

When i'm adding a file in component C it looks like this: filesArray.push(myFile);

My issue: When i select an item from component A and then adding a file in component C

• for the first few times it's updating the filesArray.length and i can see the length of the array.

• for the third or firth time it show filesArray.length 0 even if push item in component C.

What have i tried: return filesArray.length in component B as computed:

Goal: Function that will read a specific line in a .txt file.

Example .txt file used is five lines long with each line stating "First line", "Second Line", and so on down to "Firth Line".

The function I have so far will read the line as indicated by the line_number argument when 0, 1, 2, 3, 4 is passed through it, but results in an index error if the argument is any integer >=5 since these are blank/empty on the .txt file. I would like the function to return "Empty Line" when a line_number argument is used that would read a blank/empty line.

Function:

I have the following data:

I have the following array of lists (actors per movie):

I have two space separated files like this:

We have the lets say fold value in KNN is N we need to divide the array in N equal part and for each iteration of fold value we need to divide the train and test such way that

I am trying to find predictors for people selling their cars by doing a logistic regression. My sample size is n=922 and has mostly kardinal and ordinal variables. Since some of my variables have up to 7 categories (--> 6 dummyvariables) I came across separation. In the literature they recommend the bias-reduced logistic regression approach of Firth.

After installing the package I used the following formula:

logistf(formula = attr(data, "formula"), data = sys.parent(), pl = TRUE, ...)

and entered (or tried to enter) my data:

I am facing a tricky issue in which I would like to, from a Pandas dataframe, subset every other column into another dataframe, and remove it from the original dataframe. Here here is an example:

I am trying to create a scatter plot using a dataset on movies. The goal is to look at the correlation between the different categories and the target variable, whether or not the movie won an award. I have tried doing a type call on my variables, and neither of them appear to be of type numpy.ndarray as they are both pandas dataframes, yet I still get the following error when I try to create a scatter plot:

TypeError: unhashable type: 'numpy.ndarray'

My code is as follows: