duplicates

问题 I just wanted to check whether there contains any duplicates in my array. I searched on Google and see some approaches: Double for-loop loops though the array and comparing each item Creating a dictionary that stores the number of occurrences of each item But these methods require a lot of loops and I'm kind of lazy to write a large amount of code just for this functionality. xD. So I thought of this creative way: let containsDuplicates = Set(array).count != array.count However, is this

问题 I just wanted to check whether there contains any duplicates in my array. I searched on Google and see some approaches: Double for-loop loops though the array and comparing each item Creating a dictionary that stores the number of occurrences of each item But these methods require a lot of loops and I'm kind of lazy to write a large amount of code just for this functionality. xD. So I thought of this creative way: let containsDuplicates = Set(array).count != array.count However, is this

问题 I am using JasperReports to generate a graph and table for a web application using two separate queries. My main JRXML generates the graph, and I include a subreport in the Detail band to generate the table. However, when it renders, the subreport seems to get rendered multiple times (12 to be exact), which results in the generated report being the same graph and table on 12 pages (exact duplicates of each other). This happens both through the online application and iReport . My main JRXML ,

问题 I have this really large DataFrame which has duplicate columns, but the values under it are not. I want to merge the duplicate columns together and add the values. This really large DataFrame is made by appending Series together, and that is where the duplication occurs. Py Java Ruby C Ruby 2010 1 5 8 1 5 2011 5 5 1 9 8 2012 1 5 8 2 8 2013 6 3 8 1 9 2014 4 8 9 9 9 So I want to add both Ruby columns together to get this result: Py Java Ruby C Ruby 2010 1 5 13 1 5 2011 5 5 9 9 8 2012 1 5 16 2 8

问题 I have this really large DataFrame which has duplicate columns, but the values under it are not. I want to merge the duplicate columns together and add the values. This really large DataFrame is made by appending Series together, and that is where the duplication occurs. Py Java Ruby C Ruby 2010 1 5 8 1 5 2011 5 5 1 9 8 2012 1 5 8 2 8 2013 6 3 8 1 9 2014 4 8 9 9 9 So I want to add both Ruby columns together to get this result: Py Java Ruby C Ruby 2010 1 5 13 1 5 2011 5 5 9 9 8 2012 1 5 16 2 8

问题 I have this really large DataFrame which has duplicate columns, but the values under it are not. I want to merge the duplicate columns together and add the values. This really large DataFrame is made by appending Series together, and that is where the duplication occurs. Py Java Ruby C Ruby 2010 1 5 8 1 5 2011 5 5 1 9 8 2012 1 5 8 2 8 2013 6 3 8 1 9 2014 4 8 9 9 9 So I want to add both Ruby columns together to get this result: Py Java Ruby C Ruby 2010 1 5 13 1 5 2011 5 5 9 9 8 2012 1 5 16 2 8

问题 So, I imported a dataset with 178 observations and 8 variables. Then end goal was to eliminate all observations that were the same across three of those variables (2, 5, and 6). This proved quite easy using the unique command. mav2 <- unique(mav[,c(2,5,6)]) The resulting mav2 dataframe produced 55 observations, getting rid of all the duplicates! Unfortunately, it also got rid of the other five variables that I did not use in the unique command (1,3,4,7, and 8). I initially tried adding the

问题 I've got 81,000 records in my test frame, and duplicated is showing me that 2039 are identical matches. One answer to Find duplicated rows (based on 2 columns) in Data Frame in R suggests a method for creating a smaller frame of just the duplicate records. This works for me, too: dup <- data.frame(as.numeric(duplicated(df$var))) #creates df with binary var for duplicated rows colnames(dup) <- c("dup") #renames column for simplicity df2 <- cbind(df, dup) #bind to original df df3 <- subset(df2,

问题 I am trying to see if an array contains each element of another array. Plus I want to account for the duplicates. For example: array = [1, 2, 3, 3, "abc", "de", "f"] array contains [1, 2, 3, 3] but does not contain [2, 2, "abc"] - too many 2's I have tried the below but obviously doesn't take into account the dupes. other_arrays.each { |i| array.include? i } 回答1: This method iterates once over both arrays. For each array, it creates a hash with the number of occurences of each element. It

问题 I am getting an error message when using drop_duplicates to drop duplicate columns from my dataframe. ValueError: Buffer has wrong number of dimensions (expected 1, got 2) Below is a min example (notice that I don't have duplicate column names here, since that column won't be added then, so I var1 would be called var0 in my actual dataframe) dict1 = [{'var0': 0, 'var1': 0, 'var2': 2}, {'var0': 0, 'var1': 0, 'var2': 4}, {'var0': 0, 'var1': 0, 'var2': 8}, {'var0':0, 'var1': 0, 'var2': 12},] df