zscore | Standard score in JavaScript | Parser library

Please consider this records:

I need this class to include the following methods only using self:

1. get_summary_stats: should calculate the mean, min and max.
2. min_max_scale: converts the array to 0-1 values.
3. score_scale: converts the array to zscores.

I'm trying it this way without luck, when you run it it smoothly goes by but when I add the last line it gives me an error saying __init__() takes 1 positional argument but 2 were given

linking this solved question (again thx alot @mozway and jezrael!) Remove outlier with Python

I would like to plot the outlier removal. What I want: A scatter plot consisting of 7 subplots made with all rows (x-axes should be the time from the first row, the other rows should be the y-axes, respectively). The removed values should be highlighted. How can I do this?

I thought about plotting before and after the removal and insert both into a single plot.

I have two approaches to plot:

I have a DataFrame which consists of 30 rows and 9 columns. I want to make a 2 sigma outlier removal.

I do it with this:

I am trying to work on a requirement where I am computing the Zscore and want to compare with individual values in the rows. If Zscore>1 , I mark them as NaN for those specific values. I am marking it as NaN, so that I could fill those values by appropriate techniques and then I also want to return a dataframe which would tell me what were the original NaN values.

I have the below code:

I have 3 columns namely Models(should be taken as index), Accuracy without normalization, Accuracy with normalization (zscore, minmax, maxabs, robust) and these are required to be created as:

Let me start off by saying this unfortunately cannot be solved by doing something as simple as df[A] = df[B] - df[C].

I have a column containing arrays (let's call it df[A]). I want to z-score the items in each array (with respect to only the values in that array), then store this new array of z-scored values in the corresponding row of a new column.

To hopefully make it a bit clearer, each entry in df[A] looks like [[1, 2, 3, ..., 4170945]] and is of length 4170945. (The nesting is due to how the arrays are loaded into the dataframe, and not important.) I have 69 rows of such entries (example image below).

I then want each row of df['zscores'] to contain a corresponding array of (row[A][0] - row[A][0].mean()) / row[A][0].std().

I have tried the following:

1.

df['zscores'] = (df['A'] - df['A'].mean()) / df['A'].std()

This gives the following error:

I am making a bar plot with ggplot2. For some reason the font created using geom_text looks very different than the rest. It looks 'worse', sort of pixely, and when I paste the pdf in a ppt presenation you can hardly read the geom_text text. The axis fonts look great.
Any help appreciated,

I have a DataFrame with several columns