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find parity outliers

Nov 19, 2022CodeCatch
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Hello World

Sep 9, 2023AustinLeath

0 likes • 23 views

print("test")

Sort a List of Strings

Oct 15, 2022CodeCatch

1 like • 2 views

my_list = ["blue", "red", "green"]
#1- Using sort or srted directly or with specifc keys
my_list.sort() #sorts alphabetically or in an ascending order for numeric data
my_list = sorted(my_list, key=len) #sorts the list based on the length of the strings from shortest to longest.
# You can use reverse=True to flip the order
#2- Using locale and functools
import locale
from functools import cmp_to_key
my_list = sorted(my_list, key=cmp_to_key(locale.strcoll))

Print "X" pattern

Nov 19, 2022CodeCatch

0 likes • 0 views

def print_x_pattern(size):
i,j = 0,size - 1
while j >= 0 and i < size:
initial_spaces = ' '*min(i,j)
middle_spaces = ' '*(abs(i - j) - 1)
final_spaces = ' '*(size - 1 - max(i,j))
if j == i:
print(initial_spaces + '*' + final_spaces)
else:
print(initial_spaces + '*' + middle_spaces + '*' + final_spaces)
i += 1
j -= 1
print_x_pattern(7)

key of minimum value

Nov 19, 2022CodeCatch

0 likes • 0 views

def key_of_min(d):
return min(d, key = d.get)
key_of_min({'a':4, 'b':0, 'c':13}) # b

AnyTree Randomizer

Apr 15, 2021NoahEaton

0 likes • 0 views

import anytree as at
import random as rm
# Generate a tree with node_count many nodes. Each has a number key that shows when it was made and a randomly selected color, red or white.
def random_tree(node_count):
# Generates the list of nodes
nodes = []
for i in range(node_count):
test = rm.randint(1,2)
if test == 1:
nodes.append(at.Node(str(i),color="white"))
else:
nodes.append(at.Node(str(i),color="red"))
#Creates the various main branches
for i in range(node_count):
for j in range(i, len(nodes)):
test = rm.randint(1,len(nodes))
if test == 1 and nodes[j].parent == None and (not nodes[i] == nodes[j]):
nodes[j].parent = nodes[i]
#Collects all the main branches into a single tree with the first node being the root
for i in range(1, node_count):
if nodes[i].parent == None and (not nodes[i] == nodes[0]):
nodes[i].parent = nodes[0]
return nodes[0]

Radix sort

Nov 19, 2022CodeCatch

0 likes • 1 view

# Python program for implementation of Radix Sort
# A function to do counting sort of arr[] according to
# the digit represented by exp.
def countingSort(arr, exp1):
n = len(arr)
# The output array elements that will have sorted arr
output = [0] * (n)
# initialize count array as 0
count = [0] * (10)
# Store count of occurrences in count[]
for i in range(0, n):
index = (arr[i]/exp1)
count[int((index)%10)] += 1
# Change count[i] so that count[i] now contains actual
# position of this digit in output array
for i in range(1,10):
count[i] += count[i-1]
# Build the output array
i = n-1
while i>=0:
index = (arr[i]/exp1)
output[ count[ int((index)%10) ] - 1] = arr[i]
count[int((index)%10)] -= 1
i -= 1
# Copying the output array to arr[],
# so that arr now contains sorted numbers
i = 0
for i in range(0,len(arr)):
arr[i] = output[i]
# Method to do Radix Sort
def radixSort(arr):
# Find the maximum number to know number of digits
max1 = max(arr)
# Do counting sort for every digit. Note that instead
# of passing digit number, exp is passed. exp is 10^i
# where i is current digit number
exp = 1
while max1/exp > 0:
countingSort(arr,exp)
exp *= 10
# Driver code to test above
arr = [ 170, 45, 75, 90, 802, 24, 2, 66]
radixSort(arr)
for i in range(len(arr)):
print(arr[i]),