write a function read_data(filename) that retrieves the data from the given file filename (the file is in CSV format) by returning every entry INCLUDING the headings (the headings always exist in given files, this will be used later for finding indices of columns) as a single list. Each entry should be a list containing data separated by a comma, and any new line characters at the end of each row should be stripped off. It's important to note that no imports should be used for this task.You may assume there are no errors in the given and tested files.For example:Test Input Resultdata = read_data('CreditCard_2024.csv')print(data[0])CreditCard_2024.csvTransactionID,TimeStamp,CardNumber,Transaction_type,Type_of_card,Entry_mode,Amount,Actual,Origin,Class
Question
write a function read_data(filename) that retrieves the data from the given file filename (the file is in CSV format) by returning every entry INCLUDING the headings (the headings always exist in given files, this will be used later for finding indices of columns) as a single list. Each entry should be a list containing data separated by a comma, and any new line characters at the end of each row should be stripped off. It's important to note that no imports should be used for this task.You may assume there are no errors in the given and tested files.For example:Test Input Resultdata = read_data('CreditCard_2024.csv')print(data[0])CreditCard_2024.csvTransactionID,TimeStamp,CardNumber,Transaction_type,Type_of_card,Entry_mode,Amount,Actual,Origin,Class
Solution
Here is a Python function that reads a CSV file and returns its contents as a list of lists. This function does not use any imports and assumes that the file is correctly formatted and accessible.
def read_data(filename):
# Open the file in read mode
with open(filename, 'r') as file:
# Read all lines from the file
lines = file.readlines()
# Initialize an empty list to store the data
data = []
# Iterate over each line
for line in lines:
# Strip off the newline character at the end of the line
line = line.strip('\n')
# Split the line by comma to get a list of values
values = line.split(',')
# Append the list of values to the data list
data.append(values)
# Return the data list
return data
You can use this function to read data from a CSV file like this:
data = read_data('CreditCard_2024.csv')
print(data[0])
This will print the first row (the headings) from the 'CreditCard_2024.csv' file.
Similar Questions
Coding SectionQ1. [2 marks]Write a function read_to_list(data_file) that reads in the file data_file in csv formatand returns it as a list of lists, where the inner lists represent the rows in the data file.You may assume the data file exists and is in the correct format.
Given a file ``data.txt`` with three columns of data separated by spaces, read it into one complex sequence.
Fill in the blanks with the correct answer :Text fileComma-separated values (CSV) fileTab-delimited file(Just select the word in BOLD)blank1 - Word AnswerWrite your response here... : A data file that contains characters, such as letters, numbers, and symbols, including punctuation and spaces.This file is not a Movie, it is not a Word, nor PPTX, etc.blank2 - Word AnswerWrite your response here... : A file type that uses commas to separate data into columns and a newline character to separate data into rows.blank3 - Word AnswerWrite your response here... : A file type that uses tabs to separate data into columns.
Write a function sort_records(csv_filename, new_filename) that sorts the records of a CSV file and writes the results as a new CSV file. The first column of the CSV file will be the city name. The rest of the columns will be months of the year. The first row of the CSV file will take the form of the column headings, with all columns other than the first being months of the year. Here is an example file fragment:max_temp.csvcity/month,Jan,Feb,Mar,AprMelbourne,41.2,35.5,37.4,29.3Brisbane,31.3,40.2,37.9,29Darwin,34,34,33.2,34.5Note that your code will be tested over different CSV files, with different ranges of months in them. Irrespective of the exact months contained in the file, you may assume that the city name will always be in the first column, and the months in the remaining columns.You must sort the data in alphabetical order according to the city name (stored in the first column). Your program should write the sorted records to a new file with the name given by the argument new_filename.Here is an example of how sort_records() should work. 'program.py' is the program and below is its terminal output.sort_records('max_temp.csv', 'sorted.csv')result = open('sorted.csv')print(result.read())result.close()city/month,Jan,Feb,Mar,AprBrisbane,31.3,40.2,37.9,29Darwin,34,34,33.2,34.5Melbourne,41.2,35.5,37.4,29.3Note that the row for Melbourne has been sorted below the rows for Brisbane and Darwin because Melbourne comes after Brisbane and Darwin, based on alphabetical ordering.
CSV files can be imported and read using:*1 pointread.table("file.csv")read.csv("file.csv")write.csv("file.csv")none of the above
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