My input list is a list of different datatypes – if the datatype is numeric (either float or int) I want to append it’s index in the input list to my new list of indices. I tried the following function, it works for the first occurrence of an int/float but then it returns the index ..
Category : list
so if I have a list that looks like this: [‘part1’, ‘part2’, ‘notneeded’, ‘part’] but I want part and notneeded deleted from this list. How would I do this without deleting part1 and part2? Source: Python..
Suppose I have a list of lists like so: [ [‘group1’, ‘type1’, ‘2021-3-24’], [‘group1’, ‘type1’, ‘2021-3-25’], [‘group1’, ‘type1’, ‘2021-3-26’], [‘group2’, ‘type2’, ‘2022-5-21’], [‘group2’, ‘type2’, ‘2021-1-12’], [‘group2’, ‘type2’, ‘2021-3-26’], ] and I want these results: [ [‘group1’, ‘type1’, ‘2021-3-26’], [‘group2’, ‘type2’, ‘2022-5-21’], ] where each list in the parent list is grouped by group and type ..
I tried to iterate over each word in the sentence after making a list of the sentence words and add ‘l’ until the length of character in each word reached the length of the maximum sized word. but using while loop, it says that object has no length. def convert_string(ip): ip_list = ip.split() print(ip_list) max_length ..
I have the following list: p = [(58.5, -4.5), (67.5, -4.5), (76.5, -4.5), (76.5, 4.5), (67.5, 4.5), (58.5, 4.5), (67.5, 4.5), (58.5, 4.5), (58.5, 13.5), (49.5, 13.5), (40.5, 13.5), (49.5, 13.5), (40.5, 13.5), (40.5, 22.5), (31.5, 22.5), (22.5, 22.5), (31.5, 22.5), (22.5, 22.5), (22.5, 31.5), (13.5, 31.5), (4.5, 31.5), (13.5, 31.5), (4.5, 31.5), (4.5, 40.5), ..
I am trying to subtract every element in the list from the first lower value after it even if the lower value of the element is not in the next index for example, I have the list [ 7,18,5,5,20,9,14,21,19] it should produce [ 2,13,5,5,11,9,14,2,19] for i in range(len(numeric_list)-2): if numeric_list[i] >numeric_list[i+1]: msg[i] = numeric_list[i] – ..
I am trying to categorize a dataset based on the string that contains the name of the different objects of the dataset. The dataset is composed of 3 columns, df[‘Name’], df[‘Category’] and df[‘Sub_Category’], the Category and Sub_Category columns are empty. For each row I would like to check in different lists of words if the ..
I need to create a new column as Billing and Non-Billing based on the Billable column. If the Billable is ‘Yes’ then i should create a new column as Billing and if its ‘No’ then need to create a new column as ‘Non-Billable’ and need to calculate it. Calculation should be in row axis. Calculation ..
I am trying to implement a simple BFS code. Code: def initalizeVertex(): n = int(input(‘Enter the no. of vertices.n’)) for vertex in range(n): Vertex.append(vertex) node_adjacency[vertex] = [] def initalizeUndirectedEdges(): n = int(input("Enter the no. of edges.n")) print("Enter the space seperated edges.") for i in range(n): a,b = map(int,input().split()) node_adjacency[a].append(b) node_adjacency[b].append(a) def bfs(): current_level = 1 ..
I have a text file as : sample.txt Hi I am student I am from What I’ve tried is import string import re def read_to_list1(filepath): text_as_string = open(filepath, ‘r’).read() x = re.sub(‘[‘+string.punctuation+’]’, ”, text_as_string).split("n") for i in x: x_as_string = re.sub(‘[‘+string.punctuation+’]’, ”, i).split() print(x_as_string) read_to_list1(‘sample.txt’) This results [‘Hi,’I’,’am’,’student’] [‘I’,’am’,’from’] I want the result as: [[‘Hi,’I’,’am’,’student’],[‘I’,’am’,’from’]] ..
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