Adding multiple values at once to an 2d array in python

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I am a newbie at python I am trying to create simple program that assigns each letter of the alphabet in an 2d array with a random number. I have managed to do that but it looks very inefficient. I think a loop could be implemented into the code and reduce the amount of unnecessary code but I am unsure how to do that. any ideas? or help?

from array import *
import random

list2 = []
for i in range(100):
    r = random.randint(0,26)
    if r not in list2: list2.append(r) 
T2 = [["A","B","C","D","E","F","G","H","I","J","K","L","M","N","O","P","Q","R","S","T","U","V","W","X","Y","Z"],

T2[1][0] = list2[0]
T2[1][1] = list2[1]
T2[1][2] = list2[2]
T2[1][3] = list2[3]
T2[1][4] = list2[4]
T2[1][5] = list2[5]
T2[1][6] = list2[6]
T2[1][7] = list2[7]
T2[1][8] = list2[8]
T2[1][9] = list2[9]
T2[1][10] = list2[10]
T2[1][11] = list2[11]
T2[1][12] = list2[12]
T2[1][13] = list2[13]
T2[1][14] = list2[14]
T2[1][15] = list2[15]
T2[1][16] = list2[16]
T2[1][17] = list2[17]
T2[1][18] = list2[18]
T2[1][19] = list2[19]
T2[1][20] = list2[20]
T2[1][21] = list2[21]
T2[1][22] = list2[22]
T2[1][23] = list2[23]
T2[1][24] = list2[24]
T2[1][25] = list2[25]

for r in T2:
    for c in r:
        print(c,end = " ")

You can get the alphabet from string.ascii_uppercase and then shuffle the numbers 0-25 to get a random order.

>>> import string
>>> import random
>>> res = [list(string.ascii_uppercase), sorted(range(len(string.ascii_uppercase)), key=lambda x:random.random())]
>>> res
[['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z'], [3, 12, 7, 8, 9, 14, 11, 24, 6, 18, 17, 1, 5, 15, 16, 13, 2, 19, 20, 25, 0, 21, 23, 4, 10, 22]]

Two Dimensional Array in Python, Elements in a 2D array can be inserted using the insert() function specifying the index/position Array slicing is used to access multiple values within an array. You can use the sum() to add multiple arrays. arr = np.array([[6,2,3,5,4,3], [7,7,2,4,6,7], [10,6,2,4,5,9]]) np.add(0, arr.sum(axis=0))

You can simply use a slice of list2 when initializing T2.

T2 = [["A","B","C","D","E","F","G","H","I","J","K","L","M","N","O","P","Q","R","S","T","U","V","W","X","Y","Z"],

And you can create list2 without a loop:

list2 = list(range(26))

Your loop isn't even guaranteed to create a list with at least 26 elements. Theoretically, random.randint() could return the same number every time, so all checks if the number is already in the list would fail after the first iteration.

Python, Python provides many ways to create 2-dimensional lists/arrays. However one must know the differences between these ways because they can Lets start by looking at common ways of creating 1d array of size N initialized with 0s. Using above first method to create a. # 2D array. rows, cols = ( 5 , 5 ). Adding Elements in Python Lists. Lists are mutable, so we can also add elements later. We can do this in many ways. 1. append() We can append values to the end of the list. We use the append() method for this. You can use this to append single values to the list – value, list, tuple. Code:

You can use the string module that contains all the English letters and the random module for shuffling your data. For example:

import string
from random import shuffle

letters = list(string.ascii_uppercase)
indexes = list(range(len(letters)))

array_2d = list(zip(indexes, letters))

[['11' 'A']
 ['24' 'B']
 ['9' 'C']
 ['5' 'D']
 ['23' 'E']
 ['0' 'F']
 ['17' 'G']
 ['8' 'H']
 ['25' 'I']
 ['18' 'J']
 ['21' 'K']
 ['16' 'L']
 ['19' 'M']
 ['4' 'N']
 ['6' 'O']
 ['15' 'P']
 ['3' 'Q']
 ['13' 'R']
 ['10' 'S']
 ['7' 'T']
 ['20' 'U']
 ['12' 'V']
 ['1' 'W']
 ['22' 'X']
 ['2' 'Y']
 ['14' 'Z']]

Multi-dimensional lists in Python, There can be more than one additional dimension to lists in Python. Creating a multidimensional list with all zeros: filter_none. edit close. play_arrow. link brightness_4 code. # Python program to create a m x n matrix arrays in PHP � How to search by key=>value in a multidimensional array in PHP ? The concept of Multidimensional Array can be explained as a technique of defining and storing the data on a format with more than two dimensions (2D). In Python, Multidimensional Array can be implemented by fitting in a list function inside another list function, which is basically a nesting operation for the list function.

Two-dimensional lists (arrays) - Learn Python 3, Such tables are called matrices or two-dimensional arrays. In Python any table can be represented as a list of lists (a list, where each element For example, here's the program that creates a numerical table with two rows and Nested lists: creating The list [0] * m is n times consructed as the new one, and no copying of� Returning multiple values from a function is quite cumbersome in C and other languages, but it is very easy to do with Python.See the following post for the definition of functions by def.Related: Define and call functions in Python (def, return) In Python, you can return multiple values by simply r

numpy.append() : How to append elements at the end of a Numpy , It creates a copy of this array and appends the elements from values param to the end of this new Now let's see how append multiple elements to a Numpy array. Add elements in List to 2D Numpy array by flattening. #Test multiple conditions with a single Python if statement. To test multiple conditions in an if or elif clause we use so-called logical operators. These operators combine several true/false values into a final True or False outcome (Sweigart, 2015).

Iterating Array With Different Data Types. We can use op_dtypes argument and pass it the expected datatype to change the datatype of elements while iterating.. NumPy does not change the data type of the element in-place (where the element is in array) so it needs some other space to perform this action, that extra space is called buffer, and in order to enable it in nditer() we pass flags

  • What should happen if list2 doesn't have at least 26 elements?