sorting

问题 This question already has answers here : How to sort a LinkedHashMap by value in decreasing order in java stream? (4 answers) Closed 3 years ago . private static <K, V extends Comparable<? super V>> Map<K, V> sortByValue( Map<K, V> map ) { Map<K, V> result = new LinkedHashMap<>(); Stream<Map.Entry<K, V>> st = map.entrySet().stream(); st.sorted( Map.Entry.comparingByValue() ) .forEachOrdered( e -> result.put(e.getKey(), e.getValue()) ); return result; } This is an example from this post. It

问题 I have the dictionary {'Bill': 4, 'Alex' : 4, 'Bob' : 3, "Charles": 7} I need to sort this dictionary first numerically, then within that, alphabetically. If 2 items have the same number key, they need to be sorted alphabetically. The output of this should be Bob, Alex, Bill, Charles I tried using lambda, list comprehension, etc but I can't seem to get them to sort correctly. 回答1: Using sorted with key function (order by value ( d[k] ) first, then key k ): >>> d = {'Bill': 4, 'Alex' : 4, 'Bob

问题 It just occurred to me, if you know something about the distribution (in the statistical sense) of the data to sort, the performance of a sorting algorithm might benefit if you take that information into account. So my question is, are there any sorting algorithms that take into account that kind of information? How good are they? Edit : an example to clarify: if you know the distribution of your data to be Gaussian, you could estimate mean and average on the fly as you process the data. This

问题 It just occurred to me, if you know something about the distribution (in the statistical sense) of the data to sort, the performance of a sorting algorithm might benefit if you take that information into account. So my question is, are there any sorting algorithms that take into account that kind of information? How good are they? Edit : an example to clarify: if you know the distribution of your data to be Gaussian, you could estimate mean and average on the fly as you process the data. This

问题 It just occurred to me, if you know something about the distribution (in the statistical sense) of the data to sort, the performance of a sorting algorithm might benefit if you take that information into account. So my question is, are there any sorting algorithms that take into account that kind of information? How good are they? Edit : an example to clarify: if you know the distribution of your data to be Gaussian, you could estimate mean and average on the fly as you process the data. This

问题 It just occurred to me, if you know something about the distribution (in the statistical sense) of the data to sort, the performance of a sorting algorithm might benefit if you take that information into account. So my question is, are there any sorting algorithms that take into account that kind of information? How good are they? Edit : an example to clarify: if you know the distribution of your data to be Gaussian, you could estimate mean and average on the fly as you process the data. This

问题 I have a file called Item.csv file which has the following information: categoryName, currentPrice, currencyId Boots, 19.95, GBP Thermometers,2.03,GBP Garden Sheds,38.95,GBP I want to sort the content by price by making use of QSortAlgorithm and save it as sortedItem.csv. So far I can pull out the price column and sort it by making use of QSortAlgorithm but I don't know how to put it all together. Any help would be highly appreciated. List <double> priceList=new List<double>(); using

问题 I have a file called Item.csv file which has the following information: categoryName, currentPrice, currencyId Boots, 19.95, GBP Thermometers,2.03,GBP Garden Sheds,38.95,GBP I want to sort the content by price by making use of QSortAlgorithm and save it as sortedItem.csv. So far I can pull out the price column and sort it by making use of QSortAlgorithm but I don't know how to put it all together. Any help would be highly appreciated. List <double> priceList=new List<double>(); using

问题 This question already has answers here : rank and order in R (7 answers) Closed last year . What is the difference between sort(), rank(), and order() in R . Can you explain with examples? 回答1: sort() sorts the vector in an ascending order. rank() gives the respective rank of the numbers present in the vector, the smallest number receiving the rank 1. order() returns the indices of the vector in a sorted order. for example: if we apply these functions are applied to the vector - c (3, 1, 2, 5

问题 I'm speaking from the .NET point of view but this could extend to other languages or frameworks that use similar logic. Is it correct to assume that when sorting objects by a DateTime property, the DateTime value is converted to Ticks (i.e., long integers) for comparison purposes? And as a result, the speed of sorting by DateTime is not much, if any, slower than sorting by integers? 回答1: Yes, it compares ticks. Here is actual implementation: public int CompareTo(DateTime value) { long