lifeline | A cron-based alternative to running daemons | Cron Utils library

I have a question concerning survival analysis. However, I have the following data (just an excerpt):

Now I am trying to do Survival Analysis with Python lifelines package. For example I want to find out if T-cells influence the Overall Survival (OS). But as far as I know, I need to categorizie the numer of T cells in different categories, like e.g. High T-Cell and Low T-Cell... Is that right? But how do I find out the best fitting Cut-Out? My plan is to show, that Tumor with High T-Cells have a better survival than low T-Cells. But how could I find the best cut-off-value to discriminate between High and Low T-Cell out of the data I have here.

Does anyone has an idea? A friend of mine said something about "ROC"-Analysis but I am really confused now... I would be glad about any help!

I want to estimate cox models but when I try to run the code ,I have an error. it seems this problem about the coxphfitter().does any one here that solve this problem. I think the lifelines library can not compute coefficients with ML method .So here I copy errors and sample code .I should to say I write the code just for example and inputs not reall.

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In section "17.3.4.1 Lifeline" of UML Specification 2.5.1, it writes:

"If the name is ‘self’, then the Lifeline represents the object of the classifier that encloses the Interaction that owns the Lifeline. Ports of the encloser may be shown separately even when self is included."

Unfortunately, there is no example of how to show a port in a sequence diagram. Now, does this statement mean that we can represent ports of the class as a lifeline, or is there any other notation to show the ports in a sequence diagram?

I am writing some python code to do Kaplan-Meier (KM) curves using the KM Fitter and usually plot 4 curves in the same graph to compare different groups. The basic way to get a KM curve is:

from lifelines import KaplanMeierFitter

#Create the KMF object
KM_curve = KaplanMeierFitter()

#Give data to object. Status is 0 if alive, 1 if deceased (in my case)
KM_curve.fit (durations=My_Data["Time"], event_observed=My_Data["Status"])

#I do a figure in which I use this line 4 times (one per group)
KM_curve.plot(ci_show=False)

With those 4 lines of code and a pandas dataframe (here called My_Data) the KM Fitter automatically does all the calculations and plotting, but I was wondering if anyone knows how to stop the curve prematurely. I have done around 50 different graphs, they look nice and give me the info I need, but sometimes the last part of some curves dramatically drops to 0% (vertically) or very close to it. That is weird since none of my groups has 0 survivors at the end of my x-axis [See in this example, the red line https://i.stack.imgur.com/bn6Vy.png ]

I did read that the KM curves are good to see trends in the middle section, but the last part of the curves may be misleading and has to be examined carefully. That is especially true if there are not enough patients left in that group and thus, the %survival estimate drops dramatically. Someone who does bioinformatics told me she usually stops plotting the curve whenever 10% of patients are left, to prevent this issue. Is it possible to do that in python KMF?

I am using CoxPH implementation of lifelines package in python. Currently, results are in tabular view of coefficients and related stats and can be seen with print_summary(). Here is an example

I know, I know, bootstrap 4 comes pre-loaded with equal height columns. Why then is the height of each individual p tag within each column dictated by the length of the string of text and not by the column height? I just want each client bubble to appear uniform with the rest on the list, any help would be amazing. Screenshots of the site and relevant code snippets are included.

list of clients with unequal heights

I have a frequency column in my dataframe.

How do I implement these images each time player failed to guess a letter and where should I put it at? When player failed to guess 1 letter, hangman 1 will display, then followed with hangman 2 then hangman 3 and so on? Here is my code. images is in the console.log

I need help with my hangman game, how do I stop lives going down if players guess repeated letter before, as for now if I run it and player guesses the same letter, it will output that he have already made this guess but the lives is dropping too. Also if players keep input the same correct letter, it will output that he have already made this guesses but it will say he won after inputting the same letter 4-5 times.

1st error: lives dropping even if players use letter that is guessed before

2nd error: players input the same correct letter guessed and game will say he won after inputting 4-5 times

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