I have this function called error, which estimates value based on previous value and rewards in trials. The difference between the estimated value and true value is then calculated, giving the error. I need to run this code 1000 times with different lists of trials, but currently it runs too slowly. How would I optimize ..
I was expecting ‘cat’ but the answer came ‘mouse’..why? a=[‘cat’,’mouse’,’dog’] for w in a[:]: if len(w)>3: a.insert(0,w) print(a) Source: Python..
I have a dataset with ‘Date’ and ‘Installs’, and I want to add a new column ‘Payout’. But the ‘Payout’ differs based on the ‘Date’ and ‘Installs. eg. 2021-04-09, 2 and in the ‘Payout’ column, should be $0.25 * 2 eg. 2021-04-22, 5 and in the ‘Payout’ column, should be $0.4 * 5 I have ..
I have 2 for loops, which I would like to modify with vectorization, since the 2 for loops take ages till they finish. The code I want to transform: for i in range(2345): for j in range(2345): if j == i: continue else: # From start = (dfGrid[‘Y_Centroid’].iloc[i], dfGrid[‘X_Centroid’].iloc[i]) # To end = (dfGrid[‘Y_Centroid’].iloc[j], dfGrid[‘X_Centroid’].iloc[j]) ..
I’ve a dict of DataFrames I’ve retrieved and I want to concatenate them together into one large DataFrame. Each DataFrame was retrieved successively, and each has an index column which is an integer index from 0 to n-1. Each dataframe has at most n dataframes. for i in range(no_of_pages): records_offset = i * records_limit response ..
I have tried to use .iat but that is a static value. I have about 75 rows with two columns, I’m looking to replace a hyperlink in column "B" with the domain from column "A". I think .iat would be the best way but I can’t figure out the dynamic value for (current row, 1). ..
I’m sorry if this seems like a silly question, but I swear I searched a lot and I wasn’t able to understand any of the responses I found, because they reffered to list of lists and list comprehension, and I think that doesn’t apply here (if it does, I’m sorry). The code is the following: ..
I have a CSV file that has the following data: Product Date Company Revenue A 2/1/2021 1230 24314 A 2/1/2021 1224 14222 B 2/1/2021 1442 24141 B 2/1/2021 1424 54352 B 2/1/2021 4919 12213 C 2/1/2021 2312 43536 C 2/1/2021 2322 24241 D 2/1/2021 1131 34532 E 2/1/2021 1414 45645 E 2/1/2021 7674 21321 I ..
In my code below, the value passed by the for loop is not in the list that is being iterated. I am coding a simple pathfinding function in which a start and an end point are passed, and the output is the pathway to get from the start point to the end point. The dictionary ..
Few cells of my dataframe have duplicates merged with a special character ||||. example: 20210319||||20210319, 63||||64.17, 14.26||||14.26 I am trying to check if a duplicate value is appended after the special character. if its a duplicate, i want to remove the duplicate value. if they are unique(eg : 63||||64.17), i want to keep it. I ..