counter | 易学教程

Counter function on a ArrayColumn Pyspark

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问题 From this data frame +-----+-----------------+ |store| values | +-----+-----------------+ | 1|[1, 2, 3,4, 5, 6]| | 2| [2,3]| +-----+-----------------+ I would like to apply the Counter function to get this: +-----+------------------------------+ |store| values | +-----+------------------------------+ | 1|{1:1, 2:1, 3:1, 4:1, 5:1, 6:1}| | 2|{2:1, 3:1} | +-----+------------------------------+ I got this data frame using the answer of another question : GroupBy and concat array columns pyspark

Jmeter 计数器 Counter

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Jmeter 计数器 Counter 一、Counter界面 Counter元素每次 Counter功能 Name 定义Counter名称 Comments 注释，描述Counter在业务中的作用 Starting value 开始值，初始值 Increment 每次迭代后，给计数器递增的值。 Maxmum value 最大值 Number format 计数器格式 Exported Variable Name 引用名称计数器记录的值可以存到此变量中，供其他元件使用 Task counter independently for each user 不勾选，全局计数器，所有线程共用一个计数器。勾选后，每个线程都有自己的计数器 Rest counter on each Thread Group Iteration 每次迭代复原计数器二、Counter实例 @ Count设置计数器最小值从1开始最大值为10，每次以2递增。 @ Count选择Task counter independently for each user 序号线程组线程数线程组循环次数 Task counter independently for each user 运行结果说明 1 2 2 True 线程1（number=user_001、number=user_003）线程2（number=user

Find count of characters within the string in Python

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问题 I am trying to create a dictionary of word and number of times it is repeating in string. Say suppose if string is like below str1 = "aabbaba" I want to create a dictionary like this word_count = {'a':4,'b':3} I am trying to use dictionary comprehension to do this. I did dic = {x:dic[x]+1 if x in dic.keys() else x:1 for x in str} This ends up giving an error saying File "<stdin>", line 1 dic = {x:dic[x]+1 if x in dic.keys() else x:1 for x in str} ^ SyntaxError: invalid syntax Can anybody tell

How to I get the counter to work in this C program?

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问题 #include <stdio.h> #include <stdlib.h> int main() { FILE *myFile; int x, b, n = -1, i, count = 1; int num[101]; myFile = fopen("a.txt", "r"); b = fscanf(myFile, "%d", &x); while (b != -1){ n++; num[n] = x; b = fscanf(myFile, "%d ", &x); } for (int i = 0; i <= n; i++){ printf("%d ", num[i]); } printf("\n"); for(int i = 1; i <= 100; i++){ if(num[i] == i) { printf("%i has occurred: %d times\n", i, count); count++; } } fclose(myFile); } I have a project for a Unix and C programming class due on

Redshift SQL: add and reset a counter with date and group considered

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问题 Suppose I have a table below. I'd like to have a counter to count the # of times when a Customer (there are many) is in Segment A. If the Customer jumps to a different Segment between 2 quarters, the counter will reset when the Customer jumps back to Segment A. I am sure there are many ways to do it, but I just can't figure this out..Please help. Thank you! Quarter Segment Customer *Counter* Q1 2018 A A1 1 Q2 2018 A A1 2 Q3 2018 A A1 3 Q4 2018 B A1 1 Q1 2019 B A1 2 Q2 2019 A A1 1 Q1 2020 A A1

Redshift SQL: add and reset a counter with date and group considered

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Count Frequency of words of a Text variable with Hive

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问题 I have a variable that every row is a sentence. Example: -Row1 "Hey, how are you? -Rwo2 "Hey, Who is there? I want that the output is the count group by word. Example: Hey 2 How 1 are 1 ... I am using split a bit funtion but I am a bit stuck. Any thoughts on this? Thanks! 回答1: This is possible in Hive. Split by non-alpha characters and use lateral view+explode, then count words: with your_data as( select stack(2, 'Hey, how are you?', 'Hey, Who is there?' ) as initial_string ) select w.word,

Flutter increment counter for a specific product?

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问题 I'm doing an application in flutter that contains products, what I need to do is to be able to increase and obtain the key of the increased product to be stored, currently they are increasing all. I leave the image and my code, thanks for the help When press on add icon increment two counter product Widget _buildSearchResults() { return new ListView.builder( itemCount: _productSearchResult.length, itemBuilder: (context, i) { return new Card( child: Column( children: <Widget>[ ExpansionTile(

How to groupby count across multiple columns in pandas

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问题 I have the following sample dataframe in Python pandas: +---+------+------+------+ | | col1 | col2 | col3 | +---+------+------+------+ | 0 | a | d | b | +---+------+------+------+ | 1 | a | c | b | +---+------+------+------+ | 2 | c | b | c | +---+------+------+------+ | 3 | b | b | c | +---+------+------+------+ | 4 | a | a | d | +---+------+------+------+ I would like to perform a count of all the 'a,' 'b,' 'c,' and 'd' values across columns 1-3 so that I would end up with a dataframe like

Java基础回顾-03

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一并发 1 共享内存每一个线程表示一条单独的执行流，有自己的程序计数器，有自己的栈，但线程之间可以共享内存，它们可以访问和操作相同的对象。 import java.util.ArrayList; import java.util.List; public class ShareMemoryDemo { private static int shared = 0; private static void incrShared() { shared++; } static class ChildThread extends Thread { List<String> list; public ChildThread(List<String> list) { this.list = list; } @Override public void run() { incrShared(); list.add(Thread.currentThread().getName()); } } public static void main(String[] args) throws InterruptedException { List<String> list = new ArrayList<String>(); Thread t1 = new ChildThread(list); Thread