csv

Generate a CSV file from a JSON object

由 邮差的信 提交于 2020-03-28 06:40:43
问题 It's all in the title, I would like to generate a CSV file from the JSON objet get from this Ajax request, The JSON I get represent all the recordings from a form : I already have something that work for one field value a a single recording (the 0 here) : <!DOCTYPE html> <meta charset="utf-8"/> <html> <head> <title>This is Website Title</title> <script src="https://ajax.googleapis.com/ajax/libs/jquery/3.4.1/jquery.min.js" type="text/javascript"></script> <script src="../FileSaver.js"></script

how to write multiple dataframe to multiple sheet of one csv excel file in R?

由 廉价感情. 提交于 2020-03-27 17:36:29
问题 I am trying to write multiple dataframe to a single csv formated file but each in a different sheet of the excel file: write.csv(dataframe1, file = "file1.csv",row.names=FALSE) write.csv(dataframe2, file = "file2.csv",row.names=FALSE) is there any way to specify the sheet along with the csv file in this code and write them all in one file? thank you in advance, 回答1: This is not possible. That is the functionality of csv to be just in one sheet so that you can view it either from notepad or

how to write multiple dataframe to multiple sheet of one csv excel file in R?

由 无人久伴 提交于 2020-03-27 17:34:01
问题 I am trying to write multiple dataframe to a single csv formated file but each in a different sheet of the excel file: write.csv(dataframe1, file = "file1.csv",row.names=FALSE) write.csv(dataframe2, file = "file2.csv",row.names=FALSE) is there any way to specify the sheet along with the csv file in this code and write them all in one file? thank you in advance, 回答1: This is not possible. That is the functionality of csv to be just in one sheet so that you can view it either from notepad or

SQL Server AlwaysOn搭建

由 此生再无相见时 提交于 2020-03-27 12:07:57
SQL Server Alwayson概念总结 原地址： https://www.cnblogs.com/chenmh/p/6972007.html 一、alwayson概念 “可用性组” 针对一组离散的用户数据库（称为“可用性数据库” ，它们共同实现故障转移）支持故障转移环境。 一个可用性组支持一组主数据库以及一至八组对应的辅助数据库(包括一个主副本和两个同步提交辅助副本)。 辅助数据库不是备份，应继续定期备份您的数据库及其事务日志。 每组可用性数据库都由一个“可用性副本” 承载。 有两种类型的可用性副本：一个“主副本” 和一到四个“辅助副本”。 它承载主数据库和一至八个“辅助副本” ，其中每个副本承载一组辅助数据库，并用作可用性组的潜在故障转移目标。 可用性组在 可用性副本级别 进行故障转移。 可用性副本仅在数据库级别提供冗余 － 针对一个可用性组中的该组数据库。 故障转移不是由诸如因数据文件丢失或事务日志损坏而使数据库成为可疑数据库等数据库问题导致的。 主副本使主数据库可用于客户端的读写连接。 此外，它在称为“数据同步” 的过程中使用，在数据库级别进行同步。 主副本将每个主数据库的事务日志记录发送到每个辅助数据库。 每个次要副本缓存事务日志记录（“硬化”日志），然后将它们应用到相应的辅助数据库。 主数据库与每个连接的辅助数据库独立进行数据同步。 因此

web前端导出csv文件

由 夙愿已清 提交于 2020-03-27 04:34:04
前言 导出文件，使用最多的方式还是服务器端来处理。比如jsp 中使用response 的方式。 但是，有时候可能就想使用web 前端是否也可以把页面上的内容导出来呢？ 比如说，导出页面的一个表格。 这个需求肯定是有答案的，只是对于各浏览器处理会稍微不一样。(主要是IE 和其他浏览器的区别)。 在IE中使用ActiveXObject 实现，在firefox 和Chrome 中使用 a 标签（或者js）就可以实现了。 这里主要讲一下其他浏览器中的实现。 使用 a 标签实现方式 直接上例子： [html] view plain copy <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" > < html > < head > < meta http-equiv= "content-type" content= "text/html; charset=utf-8" > < meta name= "author" content= "oscar999" > < title > </ title > </ head > < body > < a id= "test" download= "downlaod.txt" href= "data:text/txt;charset=utf-8,download Test

How to compare a column of a csv file with an image name in python?

由 家住魔仙堡 提交于 2020-03-26 22:41:58
问题 I have a CSV file that lists image files with an ID number for each, like this: 21_cook.png 9 35_read.png 6 13_walk.png 2 The image files are in a folder. The code below searches out the image file names: for dirname, dirnames, filenames in os.walk('./images'): for filename in filenames: if filename.endswith('.png'): names.append(filename) This part works. This code extracts the image names from the CSV file: file = open('namesIma.csv') lns = csv.reader(file) for line in lns: nam = line [0]

How would I extract a specific row in a .CSV file?

由 你离开我真会死。 提交于 2020-03-26 16:42:50
问题 The goal of my code is to ask for a user input, the user specifies this input and my code is to search and find out which row the user input is located. Once located, I will then have code to extract that row into something (string array?) so I can then edit part of it's contents. My problem is that I'm not sure which code/methods/classes to use in order to do this. I have my code set up right now so that it reads the .CSV file and outputs it into a String array of type list. I then iterate

javascript导出csv文件（excel）

由 回眸只為那壹抹淺笑 提交于 2020-03-26 12:24:39
这里贴出JavaScript导出csv文件（excel）的代码。 /** * 导出excel * @param {Object} title 标题列key-val * @param {Object} data 值列key-val * @param {Object} fileName 文件名称 */ function JSONToExcelConvertor(title, data, fileName) { var CSV = ''; var row = ""; for (var i = 0; i < title.length; i++) { if(title[i].title){ row += title[i].title + ','; } } row = row.slice(0, -1); CSV += row + '\r\n'; for (var i = 0; i < data.length; i++) { var row = ""; for (var j = 0; j < title.length; j++) { if(title[j].title){ row += '"' + (data[i][title[j].field] ? data[i][title[j].field] : "") + '"\t,'; } } row.slice(0, row.length - 1);

前端js导出CSV，Excel格式文件

由 穿精又带淫゛_ 提交于 2020-03-26 12:21:07
通过自己实际测试有以下几种方法 方法一通过a标签实现，把要导出的数据用“\n”和“,”拼接成一个字符串，然后把字符串放到href中，这种方法只支持chrome，firefox等非ie浏览器 html页面代码如下 <!DOCTYPE html> <html> <head> <meta http-equiv="content-type" content="text/html; charset=utf-8"> <meta name="author" content="oscar999"> <title>导出CSV文件</title> <script> function exportCsv(obj){ //title ["","",""] var title = obj.title; //titleForKey ["","",""] var titleForKey = obj.titleForKey; var data = obj.data; var str = []; str.push(obj.title.join(",")+"\n"); for(var i=0;i<data.length;i++){ var temp = []; for(var j=0;j<titleForKey.length;j++){ temp.push(data[i][titleForKey[j]]); }

Python - Select different row values from csv and combine them in new csv

由 流过昼夜 提交于 2020-03-26 04:04:58
问题 I have a csv file containing hourly data of wave conditions and data from measurements taken during certain times. I want to select wave conditions 6 hours before the measurement and the outcomes of the measurements. I want to export that to a new csv file for all the measurements. The code below selects the right rows for 1 measurement: df = pd.read_csv(csv, header=None, names=['survey', 'time', 'tides', 'mwp', 'swh', 'mwd', 'data1', 'data2', 'data3', 'data4', 'data5']) xp = [datetime
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