export-to-csv

问题 I am trying to fetch a subset of records from a CSV stored in an S# bucket using the following code: s3 = boto3.client('s3') bucket = bucket file_name = file sql_stmt = """SELECT S.* FROM s3object S LIMIT 10""" req = s3.select_object_content( Bucket=bucket, Key=file, ExpressionType='SQL', Expression=sql_stmt, InputSerialization = {'CSV': {'FileHeaderInfo': 'USE'}}, OutputSerialization = {'CSV': {}}, ) records = [] for event in req['Payload']: if 'Records' in event: records.append(event[

问题 I have an R data frame which needs to be saved as a csv file however one numeric column changes its format when saved as a csv file. I have a character column named ID as below: df <- data.frame(ID = as.character(1181050000000002, 1189050000000003), Other = c("John", "Mary")) When I save as a csv file on r, it changes to write.csv(df, "df.csv", row.names = FALSE) df <- read.csv("df.csv") df$ID ID 1181050000000000 1189050000000000 The output when I open the csv file should appear as original

问题 I need to generate a csv using pandas to_csv function. I tried quote=csv.QUOTE_NONNUMERIC. But for one of the date time column I dont need double quotes. Is there a way to select the columns for which we want double quotes? 回答1: Thanks people. I got the answer so just thought to share. First I got the list of headers to be quoted and looped them something like below: for col in quoteColumnsList: df[col] = '"' + df[col] + '"' Here my quotechar is '"'. Now I used to_csv with quote parameter as

问题 I'm slowly getting a grip of how jq works but am still far from mastering it. Now I'm in a situation I've kinda managed to get what I wanted but not to display it the way I want. I'm sure it's quite simple but I'm missing it... Here's a sample of the JSON I want to parse: { "sites": [ { "site_id": 123456, "status": "configured", "domain": "www.domain.com", "account_id": 654321, "security": { "waf": { "rules": [ { "action": "block_request", "action_text": "Block", "id": "sqli", "name": "SQLi"

问题 I have a program to write content into a CSV file using CSV module in Python. My requirement is to show text in color if a given condition is satisfied. Does anyone has pointers on how to achieve this using CSV module? Appreciate your help. Thanks! MSH. 回答1: You should use an excel file for this, because csv files are merely plain text files that cannot keep any coloring formatting within them. Basically, the only time a CSV file may seem like it's got formatting is when it's opened in Excel.

问题 I have these Python lists and Pandas Dataframes: list_1 = ['Intro line here - record of method function:'] list_2 = ['Record of local minimum follows:'] print df_1 Col_A Col_B 3.4443 1.443 10.8876 11.99 print df2 Trial_1 Trial_2 Trial_3 1.1 1.49 775.9 11.5 9.57 87.3 384.61 77.964 63.7 12.49 0.156 1.9 112.11 11.847 178.3 Here is what I want in the output csv or excel file - either csv or excel would work for me: Intro line here - record of method function: Col_A Col_B 3.4443 1.443 10.8876 11

问题 I have a following code resulting in a table-like output lvs <- c("normal", "abnormal") truth <- factor(rep(lvs, times = c(86, 258)), levels = rev(lvs)) pred <- factor( c( rep(lvs, times = c(54, 32)), rep(lvs, times = c(27, 231))), levels = rev(lvs)) xtab <- table(pred, truth) library(caret) confusionMatrix(xtab) confusionMatrix(pred, truth) confusionMatrix(xtab, prevalence = 0.25) I would like to export the below part of the output as a .csv table Accuracy : 0.8285 95% CI : (0.7844, 0.8668)

问题 As it currently stands, this question is not a good fit for our Q&A format. We expect answers to be supported by facts, references, or expertise, but this question will likely solicit debate, arguments, polling, or extended discussion. If you feel that this question can be improved and possibly reopened, visit the help center for guidance. Closed 7 years ago . The problem is simple, consider the following example: m <- head(iris) write.csv(m, file = 'm.csv') m1 <- read.csv('m.csv') The result

问题 I have a task to save the results of a SQL Server query into a .csv file. After some googling I decided to use PowerShell. I found a script, modified it a bit, it works and almost all is ok. $server = "server" $database = "database" $query = "SELECT * from et_thanks" $tod = Get-Date; $file = "{0:yyyyMMdd}_go.csv" -f $tod; $extractFile = @" \\info\export_files\$file "@ $connectionTemplate = "Data Source={0};Integrated Security=SSPI;Initial Catalog={1};" $connectionString = [string]::Format(

问题 I am beginner in angular and I am working on Angular 5, Node v8.11.3. I want to realize a generic function that takes in parameter data and headers. And as output a csv file. I create a component called ' FactureComponent ' Then I generate a service called ' DataService ' then I create a getFactures function that retrieves a list of my items from a mock and it works very well. import { Component, OnInit } from '@angular/core'; import { DataService } from '../data.service'; import { FACTURES }