csv

问题 I have this little bit of code that kept me busy the whole weekend. package main import ( "encoding/csv" "fmt" "log" "os" ) func main() { f, err := os.Create("./test.csv") if err != nil { log.Fatal("Error: %s", err) } defer f.Close() w := csv.NewWriter(f) var record []string record = append(record, "Unquoted string") s := "Cr@zy text with , and \\ and \" etc" record = append(record, s) fmt.Println(record) w.Write(record) record = make([]string, 0) record = append(record, "Quoted string") s =

问题 I have a CSV file which is downloaded from database(as it is in CSV) and now I have to parse into JSON Schema. Don't worry this link just github gist Problem I am facing is its Multi line Header check CSV File Here If you take notice in the file: On 1st line of CSV it has 1st line of headers then next line has all the values for those headers. On 3rd line of CSV file it has 2nd line of headers then next line has all the values for those headers. On 5th line of CSV file it has 3rd line of

问题 I am python beginner struggling to create and save a list containing tuples from csv file in python. The code I got for now is: def load_file(filename): fp = open(filename, 'Ur') data_list = [] for line in fp: data_list.append(line.strip().split(',')) fp.close() return data_list and then I would like to save the file def save_file(filename, data_list): fp = open(filename, 'w') for line in data_list: fp.write(','.join(line) + '\n') fp.close() Unfortunately, my code returns a list of lists, not

问题 In JMeter I have a CSV list of users, and each of these users is supposed to upload an amount of files. The files are listed in a second CSV. Each user must upload all files. Since the server can't handle all threads at once I set the Thread group to use X users and loop Y times, so that in the end all users upload all files. Test plan - CSV Data Set Config (contains users) --> Recycle = false, Stop thread on EOF = false - Thread Group (X users, Y loops) - - While Controller ( ${__javaScript(

问题 I've just started to learn python. I'm curious about what are the efficient ways to count the occurrence of a specific word in a CSV file, other than simply use for loop to go through line by line and read. To be more specific, let's say I have a CSV file contain two columns, "Name" and "Grade", with millions of records. How would one count the occurrence of "A" under "Grade"? Python code samples would be greatly appreciated! 回答1: Basic example, with using csv and collections.Counter (Python

问题 So this is my very simple and basic account system (Just a school project), I would like the users to be able to change their password. But I am unsure on how to just replace the Password value within a row keeping all the other values the same. CSV File: ID,Username,Email,DateJoined,Password,UserScore,profilePics 1,Test,Test@Test.com,03/12/2014,Test,10,uploads/profilePics/Test.jpg 2,Alfie,Alfie@test.com,05/12/2014,1234,136,uploads/profilePics/Alfie.png PHP: ("cNewPassword" = confirm new

问题 I have around 600 csv file datasets, all have the very same column names [‘DateTime’, ‘Actual’, ‘Consensus’, ‘Previous’, ‘Revised’], all economic indicators and all-time series data sets. the aim is to merge them all together in one csv file. With ‘DateTime’ as an index. The way I wanted this file to indexed in is the time line way which means let’s say the first event in the first csv dated in 12/18/2017 10:00:00 and first event in the second csv dated in 12/29/2017 09:00:00 and first event

问题 Is there a way to convert an XML file to a CSV using PHP? 回答1: Use search engines to locate code samples such as http://codestips.com/php-xml-to-csv/ To create a csv file from a xml in PHP 5.0 it’s very simple, we will just have to write some lines. We will use the SimpleXML extension that come from PHP 5.0. SimpleXML reads an entire xml into an object that we can iterate through his properties. To write to the csv output file we will use fputcsv. fputcsv formats a line as csv and writes it

问题 I'm using this tweets dataset with Pyspark in order to process it and get some trends according to the tweet's location. But I'm having a problem when I try to create the dataframe. I'm using spark.read.options(header="True").csv("hashtag_donaldtrump.csv") to create the dataframe, but if I look at the tweets column, this is the result I get: Do you know how can I clean the CSV file so it can be processed by Spark? Thank you in advance! 回答1: It looks like a multiline csv. Try doing df = spark

问题 I have the code shown below, but get the following error: ValueError: could not convert string to float: BRAF Provided that this is a sample of my data ( | is just a separator I added here for demonstration, you can imagine each value in a separate cell in a CSV file): c.401C>T | skin | 23:141905805-141905805 | 9947 | BRAF Could the strings be the issue? How can I read and pass strings in this case? from keras.models import Sequential from keras.layers import Dense from keras.models import