max

Python: Get most frequent item in list

怎甘沉沦 提交于 2020-01-02 08:47:10
问题 I've got a list of tuples, and I want to get the most frequently occurring tuple BUT if there are "joint winners" it should pick between them at random. tups = [ (1,2), (3,4), (5,6), (1,2), (3,4) ] so I want something that would return either (1,2) or (3,4) at random for the above list 回答1: You can first use Counter to find the most repeated tuple. Then find the required tuples and finally randomize and get the first value. from collections import Counter import random tups = [ (1,2), (3,4),

What maximum size of static arrays are allowed in C?

淺唱寂寞╮ 提交于 2020-01-02 04:11:10
问题 In my algorithm I know work with static arrays, no dynamic ones. But I sometimes reach the limit of the stack. Am I right, that static arrays are stored to the stack? Which parameters affect my maximum stack size for one C programm? Are there many system parameters which affect the maximal array size? Does the maximunm no. of elements depend of the array type? Does it depend on the total system RAM? Or does every C programm have a static maximum stack size? 回答1: Most of your questions have

How do I find: Is the first non-NaN value in each column the maximum for that column in a DataFrame?

99封情书 提交于 2020-01-01 12:37:07
问题 For example: 0 1 0 87.0 NaN 1 NaN 99.0 2 NaN NaN 3 NaN NaN 4 NaN 66.0 5 NaN NaN 6 NaN 77.0 7 NaN NaN 8 NaN NaN 9 88.0 NaN My expected output is: [False, True] since 87 is the first !NaN value but not the maximum in column 0 . 99 however is the first !NaN value and is indeed the max in that column. 回答1: Option a) : Just do groupby with first (May not be 100% reliable ) df.groupby([1]*len(df)).first()==df.max() Out[89]: 0 1 1 False True Option b) : bfill Or using bfill (Fill any NaN value by

Algorithm to find peaks in 2D array

自古美人都是妖i 提交于 2020-01-01 08:25:48
问题 Let's say I have a 2D accumulator array in java int[][] array . The array could look like this: (x and z axes represent indexes in the array, y axis represents values - these are images of an int[56][56] with values from 0 ~ 4500) or What I need to do is find peaks in the array - there are 2 peaks in the first one and 8 peaks in the second array. These peaks are always 'obvious' (there's always a gap between peaks), but they don't have to be similar like on these images, they can be more or

What is the maximum amount memory Adobe AIR can utilize?

梦想与她 提交于 2020-01-01 08:24:27
问题 I've been doing some rapid prototyping for a game I'm thinking of building. one of the main things i want to do is map generation for a tile type map. While generating the map i end up using large amounts of ram. I'm building the map as an array of random integers for my test. When i try to generate maps of a large scale flash gives me the out of memory error: Error: Error #1000: The system is out of memory. I've already figured i could write to a file instead, to solve that problem. but does

SQL MAX function in non-numeric columns

梦想的初衷 提交于 2020-01-01 07:56:39
问题 As far as I understand the MAX function, it shall return a maximum value from a given column. In case of numeric values, for example a salary column, it is clear for me - and this is the only application I find in tutorials. However, I have a problem to understand how does it work in case of non-numeric columns. My problems originates from this exercise (on sql-ex.ru) Find out makers who produce only the models of the same type, and the number of those models exceeds 1. The table "Product"

Finding local maxima of xy data point graph with numpy?

蓝咒 提交于 2020-01-01 03:50:09
问题 I would like to get most efficient way to find local maxima in huge data point sets containing thousands of values. As input are used two long lists with x and y values. Consider this simple example: xval = [-0.15, -0.02, 0.1, 0.22, 0.36, 0.43, 0.58, 0.67, 0.79, 0.86, 0.96 ] yval = [-0.09, 0.13, -0.01, -0.1, -0.05, 0.2, 0.56, 0.47, 0.35, 0.43, 0.69] Desired output is list with indexes of peak points, here locMaxId =[1,6,10]. Comparing the closest neighbours is solution, but for 10k values?

Find multiple maximum values in a 2d array fast

那年仲夏 提交于 2020-01-01 03:35:25
问题 The situation is as follows: I have a 2D numpy array. Its shape is (1002, 1004). Each element contains a value between 0 and Inf. What I now want to do is determine the first 1000 maximum values and store the corresponding indices in to a list named x and a list named y. This is because I want to plot the maximum values and the indices actually correspond to real time x and y position of the value. What I have so far is: x = numpy.zeros(500) y = numpy.zeros(500) for idx in range(500): x[idx]

max date record in LINQ

六月ゝ 毕业季﹏ 提交于 2020-01-01 01:12:15
问题 I have this table named sample with these values in MS Sql Server: ID Date Description 1 2012/01/02 5:12:43 Desc1 2 2012/01/02 5:12:48 Desc2 3 2012/01/03 5:12:41 Desc3 4 2012/01/03 5:12:43 Desc4 Now I want to write LINQ query that result will be this: 4 2012/01/03 5:12:43 Desc4 I wrote this but it doesn't work: List<Sample> q = (from n in Sample.Max(T=>T.Date)).ToList(); 回答1: Use: var result = Sample.OrderByDescending(t => t.Date).First(); 回答2: To get the maximum Sample value by date without

Remove Max and Min values from python list of integers

寵の児 提交于 2019-12-31 09:16:51
问题 I am not completely green to Python, but I am interested in learning/keeping good practices while I develop my skills. I want to remove the high and low values from a list of numbers, which I know how to do, but am curious if there is a better/preferred way to do this. mylist = [1, 4, 0, 3, 2] mylist.sort() #[0, 1, 2, 3, 4] trimmed = mylist[1:-1] #[1, 2, 3] I get the desired answer, but did I get the right answer appropriately? 回答1: Here's another way to do it if you don't want to change the