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Tag: combinations

Dynamic Programming approach issue

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

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

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:

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

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