split

问题 I want to erase the vacuum in the String. String input = "java example.java aaa bbb"; String[] temp = input.trim().split(" "); that result is java example.java aaa bbb but i want result that java example.java aaa bbb so, i use the split(" +"). The result is right. but i don't understand, how doing the split(" +"). 回答1: split() takes a regex as it's argument. "+" in regex means "one or more of the previous element". So splitting on " +" will split on "one or more spaces". 回答2: In first case it

问题 Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 7 years ago . Improve this question I would like to split a huge text file into separate text files. I use: split -l 1000 file.txt split_file and I will get split_fileaa , split_filebb , etc. How can I change the extension to be split_file0.txt, split_file1.txt, etc ? 回答1: --additional-suffix is

问题 I want to split like this: Before: TEST_A, TEST_B, TEST_C (with A, B, C), TEST_D After: TEST_A TEST_B TEST_C (with A, B, C) TEST_D How can I split it? 回答1: Regex isn’t going to help this time, so you will have to iterate through the characters. Fact is, regular expressions aren’t very context-aware. For that reason, you can’t use regular expression to parse HTML. This is why we’re better off iterating through the string ourselves. function magic_split($str) { $sets = array(''); // Sets of

问题 I have the following list: indices_to_remove: [0,1,2,3,..,600,800,801,802,....,1200,1600,1601,1602,...,1800] I have basically 3 subsets of consecutive indices: 0-600 800-1200 1600-1800 I would like to create 3 different small lists that will include only consecutive numbers. Expected outcome: indices_to_remove_1 : [0,1,2,3,....,600] indices_to_remove_2 : [800,801,802,....,1200] indices_to_remove_3 : [1600,1601,1602,....., 1800] P.S: The numbers are arbitrary and random; moreover, I may

问题 When running this query: SELECT id,selected_placements FROM app_data.content_cards I get a table like this: +----+-------------------------------+ | id | selected_placements | +----+-------------------------------+ | 90 | {162,108,156,80,163,155,NULL} | +----+-------------------------------+ | 91 | {} | +----+-------------------------------+ What I want to do now is get this same information but with the arrays splitted into rows so I get a result like this: +----+---------------------+ | id

问题 When running this query: SELECT id,selected_placements FROM app_data.content_cards I get a table like this: +----+-------------------------------+ | id | selected_placements | +----+-------------------------------+ | 90 | {162,108,156,80,163,155,NULL} | +----+-------------------------------+ | 91 | {} | +----+-------------------------------+ What I want to do now is get this same information but with the arrays splitted into rows so I get a result like this: +----+---------------------+ | id

问题 I have problem with splitting a string. The code below works, but only if between strings are ' ' (spaces). But I need to split strings even if there is any whitespace char. Is strtok() even necessary? char input[1024]; char *string[3]; int i=0; fgets(input,1024,stdin)!='\0') //get input { string[0]=strtok(input," "); //parce first string while(string[i]!=NULL) //parce others { printf("string [%d]=%s\n",i,string[i]); i++; string[i]=strtok(NULL," "); } 回答1: A simple example that shows how to

问题 I need to research something about what are the most cost efficient movie genres. My problem is that the genres are provided all within one string: This gives me about 300 different unique categories. How can I split these into about 12 original dummy genre columns so I can analyse each main genre? 回答1: Thanks to Yong Wang who suggested the get_dummies function within pandas. We can shorten the code significantly: df = pd.DataFrame({ 'movie_id': range(5), 'gernes': [ 'Action|Adventure|Fantasy

问题 I need to research something about what are the most cost efficient movie genres. My problem is that the genres are provided all within one string: This gives me about 300 different unique categories. How can I split these into about 12 original dummy genre columns so I can analyse each main genre? 回答1: Thanks to Yong Wang who suggested the get_dummies function within pandas. We can shorten the code significantly: df = pd.DataFrame({ 'movie_id': range(5), 'gernes': [ 'Action|Adventure|Fantasy

问题 So I'm coding a little bot in python and I'm having a problem. It seems to be a common problem, but I've never seen it asked in the same situation I'm in. Ok so here is the code posing problem : old_values = float((removeprc(browser.find_element_by_xpath('//*[@id="draggableNavRightResizable"]/section/section[2]/section[1]/div[3]/ul/li[1]/div[2]/div[6]/span').text))) browser.find_element_by_xpath('//*[@id="draggableNavRightResizable"]/section/section[2]/section[1]/div[3]/ul/li[1]/div[2]/div[6]