Alice goes for jogging every day for N meters. Sometimes she runs and sometimes she walks. Her walking speed is 1m/s and running speed is 2m/s . Given the distance up to which she does jogging, calculate the number of ways she can do jogging. example: Input: 3 (total distance covered during jogging) Output: 3 (possible case) Explanation: Alice could
Tag: combinations
All combinations of a row in a dataframe
i have the following Dataframe (df = ) with around 40 mio rows. i try to have the following output: at first i thought to use itertools combinations, it.combinations(Colors[“Colors”],2), but the problem was, that it gives me the combinations of the whole column and don’t correlate to the column “No”. The next try was to aggregate the whole dataframe to
How to generate unto n digit combinations of an integer? [closed]
Closed. This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 1 year ago. Improve this question I’m trying to create a program in python which generates all the possible combinations (non-repeating) for a given number If
Get all possible combinations between two lists, including multiple connections
With I get the 16 possible individual combinations of the lists l1 and l2, [(1,1), (1,2), … ] etc. Is there a way to also get combinations that ‘connect’ the lists in multiple ways? For example, I could have the following combinations [(1,1), (2,3)], [(1,3), (2,4), (3,2)], and [(1,2), (2,4), (3,3), (4, 1)]. Any help would be greatly appreciated. Answer
Using itertools for combinations in python
I have the following table with 4 columns: My desired Output in a df: I need it to loop through and combine all possible combinations. What is the best way to do this using python? Answer I assume that by table you mean a pandas dataframe, so the first step would be to collect the columns of interest into a
Too many combinations
Hi I’m trying to generate all possible combinations of workers to buildings. (let me explain my scenario): I’m playing MineColonies on minecraft. In this mod you have colonists whom can be assigned jobs at buildings. These workers have skills and a score assigned to them. (like Agility: 20, Strength:5 etc) and the work at the buildings are performed better when
Combinations of all dataframe columns in python
I have three data frames that have the same index (Countries). I need to find all the combinations of the three data frames, create new columns with the data frames. Under each of those columns I will have the multiplication of the values from those combinations. I tried to use the MultiIndex.from_product but the results is only for the titles:
How to create a list from a dict of lists that has combinations of the array elements [closed]
Closed. This question needs details or clarity. It is not currently accepting answers. Want to improve this question? Add details and clarify the problem by editing this post. Closed 2 years ago. Improve this question The question might have been worded confusingly so here I will try to make it more clear. Suppose I have a dict like x =
Combination of rows in numpy.ndarray
I have the following numpy.ndarray I want to find all the possible combinations of sum of each row (sum of individual elements of a row except the last column) of S[0,:,:] with each row of S[1,:,:], i.e., my desired result is (order does not matter): which is a 9-by-2 array resulting from 9 possible combinations of S[0,:,:] and S[1,:,:]. Although
Removing Brackets from itertools combination list results
I have this code The output is: I want to remove the brackets and speech marks from the output. How can I achieve that? so that my output would be: Answer You can accomplish this in the following way (without using str.join): This should have the added benefit of avoiding the creation of intermediate strings in the join.