Itertools Questions

Good afternoon! i have a list of lists in python. example: mylist = [['a', 'b', 'c'], [1, 2], [df1, df2]]

I would like to calculate eucledian distance between lists inside a list and if that distance is smaller than threshold than get maximum element

What follows is a (working) attempt to compose tuples such that the i'th member of the i'th tuple is taken from the second tuple, with the

I want to create a list of dictionaries with the same index element from each list. i have this dictionary: d = {'name':

Given a list of floats in python, what is the most accurate way to produce the accumulated sums of that list? by accurate i mean

I have an array of 30 floats and i need to take all permutations of 4 of this array. obviously this gives quite a large number of

I am trying to enhance zip_with_scalar logic. i am trying to zip with a

I've made a post

Let say i want to generate the cartesian product of a range, ie: from itertools import product var_range = range(-10000, 10000)

Could anyone tell me what would be the data type of the answer given, while using itertools.combination(iterable, r)?? from

I'd like to place items from a list at sequential indexes of a table, with the number of columns being controlled by the input. i know how to do

I have k vectors and k types, where every vector is in the length n. n > k. i need to put the types in the vector such that for every

I'm reading a file (while doing some expensive logic) that i will need to iterate several times in different functions, so i really want to read

I have a list of dataframes columns: l=[aa , as , ad , bb , bc , cd , cf,cg ] and i need all combinations

Coordinates = [(-225.0, -299.5), (-150.0, 75.5), (0.0, 0.0), (225.0, 300.5)] xy = (-222.4, -204.5) what is the best way

I have a list in python [1, 2, 3, 4, 5, 6]. i want to generate all possible combinations of length 2, 3, 4 and 5. i have used

I have an object which i make it to be an generator: class obj(object): def __init__(): pass def __iter__():

While i am trying to create a dictionary using dict(x), where x is a slice of another dictionary,d(y) where y is collections.counter() object.

Given the list a = ['a', 'b', 'c', 'd', 'e'], i would use itertools.combinations to get all unique combos like

What's the fastest way to remove tuples from a python list (and update the list with the removed tuples) according to what the tuple starts with

I tried this import itertools a=[10, 1 ,2, 7, 6, 1, 5] b=[] for i in range(len(a)): for s in itertools.combinations(a,i):

I am trying to write a code that needs itertools.product to generate the output from a multiple number of lists , or even variable numbers , for

I have a list of tuples as below. the tuple in itself is a nested tuple with 3 sub-elements (tuples) inside it. [(('a', 'apple'),

Currently trying to get this to create all possible combinations of these 20 letters in a list, (without repeats) letters =

I have a data frame df with columns and string values in it. my goal is to create a data frame final_df whose columns

I'm trying to use itertools.tee to know if an iterator is empty without consuming it entirely: from itertools import

Given a list of length n in python: a = [a,b,c] i want to create all possible combinations of lists with a set

I have values for a 2-dimensional list: # 4 x 4, 2-dimensional list values = [[4, 7, 8], [1, 3, 4], [7, 5,

I've checked some topics about groupby() but i don't get what's wrong with my example: students = [{'name': 'paul',

I have the following code to generate all possible combinations in specified range using itertools but i cant get any speed improvements from

Let me demonstrate. it has bitten me twice and first time i gave up thinking that i can't understand how groupby works. i am using

I am trying to generate permutations from this list without changing the order. mylist = [["a", "b"],

Mark lutz in his book "learning python" gives an example: >>> [(x,y) for x in range(5) if x%2==0 for y in range(5) if

I have a list of python dictionaries and i'm trying to aggregate the keys based on different metrics (max, min). right now, i am converting

I am using the permutations() function from the itertools module. i have to compare two strings. the strings can be

I have a list titled outcomes: outcomes = ["heads", "tails"] as you can see, the list has two

Import itertools data1 =[100,80,80,80,80,80,90,90,85,85,85] keys = [] groups = [] sorted_data1 = sorted(data1) for k,g in

I have the following code result = itertools.combinations_with_replacement(range(3),3) for each in result: print(each)

Let's say i have 4 buckets and an array of numbers like [1,2,3,4,5] | || || || | |__||__||__||__| 1 2 3 4

I have a pandas table which filled with values in my view. this view send this data to my template. unfortunately i can't loop the values despite

From an iterable, i'd like to generate an iterable of its prefixes (including the original iterable itself). for prefix in

I was looking for a solution on internet, but could not find an answer, mostly due to my poor english (i could not ask a correct question).

The goal was to create a list of all possible combinations of certain letters in a word... which is fine, except it now ends up as a list of

I haven't been able to find an understandable explanation of how to actually use python's itertools.groupby() function. what i'm

The result of a list comprehension: [['a', 'b', 'c'], ['ab', 'ac', 'bc'], ['abc']] the challenge is to convert

I have a list of tuples that i am trying to get the product of by combining the individual tuple elements. for example: