I am trying to perform a web automation testing, and now i am stucking at how to select random values from the outlet and time list. Kinda ran out of idea, hope someone could help, Thanks in Advance and Have a Nice day. Answer As far as I understand the code above, something like this should work:

# Tag: random

## Generate random binary matrix constrained to no null row

I want to generate a random binary matrix, so I’m using W=np.random.binomial(1, p, (n,n)). It works fine, but I want a constraint that no row is just of 0s. I create the following function: It also works fine, but it seems to me too inefficient. Is there a faster way to create this constraint? Answer When the matrix is large,

## Tkinter Window: TypeError: can only concatenate str (not “int”) to str

I’m having trouble solving the Concatenate Error when it’s present in a Tkinter Window. I tried using multiple methods but, they didn’t work to well with what I’m trying to do. I’m trying to make it so where, at the click of a Tkinter button, it would randomly choose a value between 0 and 100. If the random value is

## randomizing list and exporting the results as unique set of 4 strings

I have wanted to randomize list of strings, 9 different strings and then printing out the strings into unique set of four then exporting it into txt file. Here is what I have tried so far, but I am not sure how to set them into groups of four. I want the print outcome to come out in an example

## Return random numbers from lists of varying size with weights

I would like to split existing data for a train-test-split in python. Functions like sklearn.train_test_split() typically choose evenly distributed values as testdata. But since I want to check, whether my model can deal with skewed data (more training data on “the left side of the function”) I need to weigh the split more towards the left side of my data.

## Problem: In dataset i have data of country,state and city. Where some state and city name is 0.so,I want to replace “0” value of state with city name

I tried this method. In this code list some city of israel and generate 500 random value of it. And apply condition to insert data in israel state location where data is 0. Answer

## How to sample data points for two variables that has highest (close to +1) or lowest (close to zero) correlation coefficient?

Let’s assume that we have N (N=212 in this case) number of datapoints for both variables A and B. I have to sample n (n=50 in this case) number of data points for A and B such that A and B should have the highest possible positive correlation coefficient or lowest correlation coefficient (close to zero) for that sample set.

## Is there a way of selecting all records of a certain ID after randomly selecting the IDs?

I have a number of values per ID in this format: I want to randomly select IDs but keep all values per ID, so for example, if I wanted to get 2 random IDs; the outcome would look like this: Giving me, ID 2 & 5. Answer Use numpy.random.choice to select random values then select them. Edit: please read the

## Coin flip based on randint returns false mostly?

I am writing a game in python using Pygame. In the game, I am setting a variable to a random value of either True or False using this statement: After running this 2 to 3 times, it kept returning False. At first, I thought that this was probably a coincidence, but after running this like 10 times, it returned True

## random number generating function as argument in python

I want to pass a function which generates random normal numbers to another function, do some calculations and pass again the random function x times. At the end there should be a Dataframe with x colums with diffrent randomly generated outcomes. My code looks like this: But this gives me always identical columns. Answer I don’t think you can pass