#### Category : arraylist

I’m trying to count the array. I am using numpy package for 3×3 matrix it worked first array c1=[[-1 -1 -1] [-2 -2 -2] [-3 -3 -3] [-4 -4 -4]] second array c2=[[-10, -20, -30, -40], [-10, -20, -30, -40], [-10, -20, -30, -40]] c3=c2+c1 this is an error that will print me out ValueError: ..

I am working with pandas dataframe. One of the columns has list of tuples in each row with some score. I am trying to get scores higher than 0.20. How do I put a threshold instead of max? I tried itemgetter and lambda if else. It didn’t worked as I thought. What am I doing ..

DV=[[1,0], [1,1], [0, 0], [0,1]] V=[0,2,3] What is the convenient way to access the value of DV based on the Value of V for example DV[0][0] [0][1] DV[2][0] [0][1] DV[3][0] [3][1] Source: Python..

I have read about numpy array runs faster than ordinary code performed in python. I have a large data to send a function with return value. I test it with numpy index and boolean and with python, I should expect to run the task faster with numpy function but in my test is not the ..

I wrote the code below to generate a list containing 25 lists, where each of them has 40 elements. However, the main issue is to have a low level of similarity between the sequenced elements of the all the lists (I tried to apply SequenceMatcher from difflib). Although the condition is to stop the loop ..

swepttour = [(39.57, 26.15), (36.26, 23.12), (40.56, 25.32), (37.52, 20.44), (38.24, 20.42), (39.36, 19.56), (37.51, 15.17), (35.49, 14.32), (38.15, 15.35), (38.47, 15.13), (38.42, 13.11), (37.56, 12.19), (41.17, 13.05), (33.48, 10.54), (41.23, 9.1), (36.08, -5.21), (39.57, 26.15)] I have such a list and I want to change the position of the second element(element at index 1) ..

Fav_Food_List = [‘Pizza’,’Burger’,’Cake’,] Favourite_Food = input("Enter name of your favorite food") for Favourite_Food in Fav_Food_List: if Fav_Food_List == Favourite_Food : print ("Yep! So amazing!") else: print("Yuck! That’s not it!") print("Thanks for playing!") Source: Python..