array

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 由 翻译 强力驱动 问题: I want map a numpy.array from NxM to NxMx3, where a vector of three elements is a function of the original entry: lambda x : [ f1 ( x ), f2 ( x ), f3 ( x )] However, things like numpy.vectorize do not allow to change dimensions. Sure, I can create an array of zeros and make a loop ( and it is what I am doing by now ), but it does not sound neither Pythonic nor efficient (as every looping in Python). Is there a better way to perform an elementwise operation on numpy.array, producing a vector for each entry? 回答1: Now that I see your

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 由 翻译 强力驱动 问题: I must declare an array of arrays or multidimensional array without know the size. I want to do something similar that I do in this cases with simple arrays: int * array ; cin >> size ; array = new int [ size ]; Maybe I can do a loop to initialize a pointer of pointers like this: int ** array ; cin >> rows >> col ; array = new * int [ rows ] for ( int i = 0 ; i < rows ; ++ i ) array [ i ] = new int [ col ]; But I prefer don't do this if a better solution is possible. 回答1: Why not use std::vector? std :: vector < std :: vector <int>

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: i have an error in JSON.parse(), i have .php file which contain method to retrieve data from database and .js file for autoComplete function, my .php file return data as string and i need to convert it to object by using JSON.parse(). this is my php file <?php include_once("database_conn.php"); function request($conn) { $eventstArray = array(); $events = "SELECT * FROM te_events,te_category,te_venue WHERE te_events.venueID = te_venue.venueID AND te_events.catID = te_category_catID ORDER BY 1 "; $eventsQuery1 = mysqli_query($conn,$events) or

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 由 翻译 强力驱动 问题: Below is my python code for tracking white color objects. It works - but only for a few seconds and then the whole screen turns black and in some times it not work. I experimented with blue color and it works - but white and green are giving me problems: import cv2 import numpy as np cap = cv2 . VideoCapture ( 0 ) while ( 1 ): _ , frame = cap . read () hsv = cv2 . cvtColor ( frame , cv2 . COLOR_BGR2HSV ) # define range of white color in HSV # change it according to your need ! sensitivity = 15 lower_white = np . array ([ 0 , 0 ,

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 由 翻译 强力驱动 问题: I just got into swift coding and I am trying to follow a tutorial. but it seems as if the coder I'm following may have an older version, or I am doing something wrong. I am trying to make a sound object to make a soundboard. but when i try to add the sound file to the array using append, it says that the method append is not a member of the NSArray . can someone tell me what is the right way to do solve this?!] 1 回答1: Declare sounds as var sounds : [ Sound ] = [] 回答2: You should work with Swift native type Array var array : [ Any ]

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I have a 2D list something like a = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] and I want to convert it to a 2d numpy array. Can we do it without allocating memory like numpy.zeros((3,3)) and then storing values to it? 回答1: Just pass the list to np.array : a = np.array(a) You can also take this opportunity to set the dtype if the default is not what you desire. a = np.array(a, dtype=...) 回答2: I am using large data sets exported to a python file in the form XVals1 = [.........] XVals2 = [.........] Each list is of identical length. I use >>> a1 = np

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I'm doing a project and I keep getting the error "Error trying to diff '[object Object]'. Only arrays and iterables are allowed" I looked up the error and there is two ways to do it, change the incoming data(no possible) or "transform the object in my component". I need to do the latter, but i can't find any way how to as I'm only a student. Here's some of the relevant code: //characters.ts apiUrl = 'https://swapi.co/api/people'; getUsers() { return new Promise(resolve => { this.http.get(this.apiUrl) .subscribe(data => { resolve(data); },

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I have an assignment to find a median in 4 individually sorted arrays. A median is defined as the element that is in the middle of the array (at index floor(N/2)) Requirements: time complexity: linear to the size of the combined array space complexity: O(1) I know how to find a median in 2 sorted arrays with O(1) space and O(logn) time, but I cant find a good solution for 4 arrays that meets the requirement of O(1) space. I have tried to adjust the algorithm for 3 arrays but it didn't work very well for me. example for my assignment: A = {1

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 由 翻译 强力驱动 问题: I have two 2D number arrays i.e., lat and lon each of (95,60) dimensions. I am trying to find the indices for the following conditional statement. ind = np . where ((( lat >= 20.0 and lat <= 30.0 ) and ( lon >= 90.0 and lon <= 100.0 ))) I get the following error: ValueError : The truth value of an array with more than one element is ambiguous . Use a . any () or a . all () My lat array contains the data like this: array ([[ 19.13272095 , 19.52386856 , 19.8377533 , ..., 22.81465149 , 22.80446053 , 22.78530312 ], [ 19.2490139 , 19

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 由 翻译 强力驱动 问题: I have a dataframe of the following format. df A B Target 5 4 3 1 3 4 I am finding the correlation of each column (except Target) with the Target column using pd.DataFrame(df.corr().iloc[:-1,-1]) . But the issue is - size of my actual dataframe is (216, 72391) which atleast takes 30 minutes to process on my system. Is there any way of parallerize it using a gpu ? I need to find the values of similar kind multiple times so can't wait for the normal processing time of 30 minutes each time. 回答1: Here, I have tried to implement your