max

问题 i have the following code to compute minimum and maximum values of a list in order to save memory efficiency x_min = float('+inf') x_max = float('-inf') for p in points_in_list: x_min = min(x_min, p) x_max = max(x_max, p) where points_in_list is a (large) list of numbers. I wish to know if there is a method to compute with a List Comprehensions the min and max value and saving the memory. 回答1: I'm a big fan of generators and comprehensions, but in this case it seems they are not the right way

问题 I am trying to find the maximum sum of two elements in an array minus the distance between them. Specifically I am trying to calculate max{ a[i]+a[j]-|i-j| } I am currently stuck. I have obviously considered the naive approach (O(n^2)). However ,I am pretty sure there is a better ,more efficient approach (O(nlogn)) or even O(n). Can someone please help me on how to approach the problem. I would be grateful if anyone threw some hints or a simple idea to have something to start from. Sorting

问题 I am trying to find the maximum sum of two elements in an array minus the distance between them. Specifically I am trying to calculate max{ a[i]+a[j]-|i-j| } I am currently stuck. I have obviously considered the naive approach (O(n^2)). However ,I am pretty sure there is a better ,more efficient approach (O(nlogn)) or even O(n). Can someone please help me on how to approach the problem. I would be grateful if anyone threw some hints or a simple idea to have something to start from. Sorting

问题 I have these two tables: Student: | name | email | |---------------------|-------------------------| | Arturo Vidal | arturo.vidal@usm.cl | | Bastian Quezada | bastian@usm.cl | | Javier Jeria | javier@usm.cl | | Sebastian Piñera | sebastian@presidente.cl | | Sebastian Gallardo | sebastian@usm.cl | Class: | classId | email | signUpDate | |---------|-------------------------|-------------| | 1 | sebastian@usm.cl | 2018-01-01 | | 1 | javier@usm.cl | 2019-10-01 | | 1 | bastian@usm.cl | 2018-07-01

问题 This question already has answers here : Pandas max value index (3 answers) Closed 2 years ago . I have the following dataframe: data = {'Algorithm': ['KNN', 'Decision Tree', 'SVM', 'Logistic Regression'], 'Jaccard': [0.75,0.65,0.67,0.70], 'F1-score': [0.69,0.78, 0.75, 0.77], 'LogLoss': ['NA', 'NA', 'NA', 5.23]} report= pd.DataFrame(data = data) report = report[['Algorithm', 'Jaccard', 'F1-score', 'LogLoss']] report.set_index(report['Algorithm'], inplace = True) report.drop(columns = [

问题 I'm trying to lag a field when it matches certain conditions, and because I need to use filters, I'm using the MAX function to lag it, as the LAG function itself doesn't work the way I need it. I have been able to do it with the code below for the ID_EVENT_LOG , but when I change the ID_EVENT_LOG inside the MAX to the column ENSAIO , so I would lag the column ENSAIO it doesn't work properly. Example below. Dataset: +------------+---------+------+ |ID_EVENT_LOG|ID_PAINEL|ENSAIO| +------------+

问题 I made a custom form to display in Wordpress Woocommerce checkout page, where user must select their age before making the purchase. The idea is so that people who are under 18 years old would not be able to make a purchase. Currently, the code displays the form and it is all set, but 'min' and 'max' features, which I would require to limit age insertion between 18 and 99, do not apply for some reason. What do I require in order to make 'min' and 'max' functions to apply? add_action(

问题 I made a custom form to display in Wordpress Woocommerce checkout page, where user must select their age before making the purchase. The idea is so that people who are under 18 years old would not be able to make a purchase. Currently, the code displays the form and it is all set, but 'min' and 'max' features, which I would require to limit age insertion between 18 and 99, do not apply for some reason. What do I require in order to make 'min' and 'max' functions to apply? add_action(

问题 Slightly different from previous questions. I have found here: front_Ar is a list of objects with a score attribute. I am trying to get a list of all objects with the highest score. I have tried: maxind = [] maxInd.append(max(front_Ar, key=attrgetter('score'))) which stored only one object (presumably the first one it found). Any idea how can this be done? 回答1: Find the max score first, then filter the list based on that score: max_score = max(front_Ar, key=attrgetter('score')).score max_ind

问题 In the Python's standard max function I can pass in a key parameter: s = numpy.array(['one','two','three']) max(s) # 'two' (lexicographically last) max(s, key=len) # 'three' (longest string) With a larger (multi-dimensional) array, we can not longer use max , but we can use numpy.amax... which unfortunately offers no key parameter . t = numpy.array([['one','two','three'], ['four','five','six']], dtype='object') numpy.amax(t) # 'two` (max of the flat array) numpy.amax(t, axis=1) # array([two,