Good Evening All, The Problem When switching between the two data sets (Density A and Density Z) with a radio button func, the legends/colorbar associated with each data set overlay each other instead of replacing each other (see the muddled legend numbers on the right image below). My Logic (or lack thereof) How I got ..
Category : duplicates
I want to separate the duplicate rows from a df into multiple Pandas set containing the different duplicated rows. For example, if I have: A B 0 1 1 1 1 1 2 1 2 3 1 2 4 2 3 5 3 3 6 3 3 7 3 3 I would like to get ..
Support we have a list of tuples listeT: ListeT=[(‘a’, 1), (‘x’,1) , (‘b’, 1), (‘b’, 1), (‘a’, 2), (‘a’,3), (‘c’, 6), (‘c’, 5),(‘e’, 6), (‘d’, 7),(‘b’, 2)] and i want to get the following result: Result= [(‘a’, 1), (‘x’,1) , (‘b’, 1), (‘c’, 5), (‘c’, 6), (‘e’, 6), (‘d’, 7)] 1-I want to order this ..
I have a list of lists, with strings and empty strings in it. My goal is to stay with the same structure and data (list of lists), but remove the empty strings. my_list = [["Tom", "Boy", ”], ["Ben", "Ten", ”]] I tried this but it returns an error: for lists in new_list: for word in ..
I have this df that contains rows that need to be duplicated based on number of letters split by ‘-‘ in ‘Group’ column. I want each duplicated row to only contain a single letter from the ‘Group’ column . XYZ does not have any "-" and would remain as a single non duplicated row. Beginning ..
I have a dataframe that consists of of video game titles on various platforms. it contains, among other values the name, critic’s average score and user’s average score. Many of them are missing scores for the user, critic and/or ESRB rating. What i’d like to do is replace the missing rating, critic and user scores ..
I have a list of numpy arrays and want to remove duplicates and also keep the order of my sorted data. This is my array with duplicates: dup_arr=[np.array([[0., 10., 10.], [0., 2., 30.], [0., 3., 5.], [0., 3., 5.], [0., 3., 40.]]), np.array([[0., -1., -4.], [0., -2., -3.], [0., -3., -5.], [0., -3., -6.], [0., ..
I have a pandas dataset as such {col_A col_B col_Z Sam time1 time2 Sam time3 time4 R time1 time2 H time1 time2 H time5 time6} I want to have output as such {col_A col_B col_Z Sam time1 time4 R time1 time2 H time1 time6} I tried using drop duplicates but no use so far. Basic ..
I am working with a training data set of 127.000 images scraped from internet. I know there are quite a few duplicates in there and i want to remove them to improve the performance of my deep learning model. I have tried several different ways to do this. Some did not work at all, others ..
How could I remove duplicates two dimension list without changing the order? list_j = [[100,2,3,3], [4,98,99,98], [5,99,98,4], [5,99,98,5], [100,99,98,100,100,6]] list_pre = [list(set(i)) for i in list_j] print(list_pre) [[2, 3, 100], [98, 99, 4], [98, 99, 4, 5], [98, 99, 5], [98, 99, 100, 6]] As you can see it changed the order. What I want ..
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