Writing 2 variables on the same row in a csv file

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I am creating a registering system which (when registered), writes the username and password to a csv file. How do i get the two variables user_namev2 and user_passwordv2 to be written next to eachother on the csv file?

This is the code i am currently using

if re.match(user_password2v2, user_passwordv2):
    print("Passwords do match")
    with open ('Accounts.csv', 'a') as Account_file:
        writer = csv.writer(Account_file)
        writer.writerow([user_namev2])
        writer.writerow([user_passwordv2])
        Bottom()

This code writes the username and password below eachother, when I would like it to be next to eachother on the same row, just different columns.

I have also experimented with adding it all to an array and writing it the array to the csv file, however this caused troubles when it came to reading the csv file (posted a question about this. See link below)

    if re.match(user_password2v2, user_passwordv2):
        print("Passwords do match")
        user_info = []
        user_info.append(user_namev2)
        user_info.append(user_passwordv2)
        with open ('Accounts.csv', 'a') as Account_file:
            writer = csv.writer(Account_file)
            writer.writerow([user_info])

Searching for only the first value in an array in a csv file

I believe that

writer.writerow([user_namev2, user_passwordv2])

should do the trick. (https://realpython.com/python-csv/)

14.1. csv — CSV File Reading and Writing, These differences can make it annoying to process CSV files from multiple sources. vary, the overall format is similar enough that it is possible to write a single module which can Each row read from the csv file is returned as a list of strings. Write/read CSV file in text mode or binary mode. A CSV file can be read or written in text or binary mode with the aid of the PLC function blocks for file access. Depending on the selected mode there are differences with advantages and disadvantages. In 99% of cases the CSV files can be read/written in text mode.

I would do it using pandas like this

import os
import pandas as pd

if re.match(user_password2v2, user_passwordv2):
  print("Passwords do match")
  if os.path.isfile('Accounts.csv'):
    df = pd.read_csv('Accounts.csv')
  else:
    df = pd.DataFrame(columns=['username', 'password'])
  df = df.append({'username': user_namev2, 'password': user_passwordv2})
  df.to_csv('Accounts.csv')

This might not be entirely correct (I haven't tested it myself) but you get the idea how to proceed

How to write multiple input into one csv file, b=2;. c=3;. d=4;. I want to put this output value in matlab to a csv file in the order below. ff.PNG. I can use below, However, it will over-write the csv file. However, any idea if I want to put in a row, rather than a column. import csv with open ('some.csv', newline = '', encoding = 'utf-8') as f: reader = csv. reader (f) for row in reader: print (row) The same applies to writing in something other than the system default encoding: specify the encoding argument when opening the output file.

As Jackson Hill mentioned, you should use list for writerow.

if user_passwordv2 == user_password2v2:
    print("Passwords do match")
    with open('Accounts.csv', 'a') as Account_file:
        writer = csv.writer(Account_file)
        writer.writerow([user_namev2, user_passwordv2])

Adding string to a particular column in csv file - Build, I have used these activities read csv 2.for each row 3.assign activity 4. the same datatable variable that was used to read the csv file to write  Row offset, specified as a scalar. The row offset indicates the number of rows to skip before writing the numeric data. row is zero-based, so that row = 0 instructs MATLAB ® to begin writing in the first row of the destination file. Skipped rows are populated with commas.

Example: Writing/reading of CSV file, A table row corresponds to a data set (or row) in the CSV file. be changed from semicolon to comma via the global PLC variable DEFAULT_CSV_FIELD_SEP. Each data set should have the same number of data fields (columns). The project example actually contains 4 examples: 2 for write/read access in text mode  Writing to a CSV File. Let's now see how to go about writing data into a CSV file using the csv.writer function and the csv.Dictwriter class discussed at the beginning of this tutorial. Writing to a CSV File Using csv.writer. The code below writes the data defined to the example2.csv file.

Working with data in a data frame, As we saw earlier, read.csv loads tabular data from a CSV file into a data frame. A data frame can have both column names ( colnames ) and rownames ( rownames ). of different types, and a vector can only hold elements of all the same type. R does not understand or care about the names we give to variables, and it  The structure of a CSV file is given away by its name. Normally, CSV files use a comma to separate each specific data value. Here’s what that structure looks like: column 1 name,column 2 name, column 3 name first row data 1,first row data 2,first row data 3 second row data 1,second row data 2,second row data 3

Reading and writing .csv, In this short lesson, we'll learn how to read data from a .csv and write to a new .​csv, in as a data frame, and assign the data frame to a variable (using <- ) so that it is six rows carSpeeds <- read.csv(file='data/car-speeds.csv') head(​carSpeeds) functions, as well as similar options for working with data that are stored in  I agree with Bob, but I would create objects or hash tables to store the variables in. This allows for more flexibility if you want to use this output in a different way in the future. Also you might want to use the -Encoding UTF8 parameter when using Out-File to build csv files. That allows for Excel to open the csv file.

Comments
  • Thanks. do you also know why my program skips a row in the spreadsheet? For some reason it writes the info every other row
  • I'm not sure, but maybe it could have something to do with Bottom()? You could also try just using something like writer.write([user_namev2, user_passwordv2+'\n'])