Can we use serial library for python 3.511/9/2022 Now let’s create our own CSV file and feed it into the DictReader class. This works because each row is a list and we can join each element in the list together, forming one long string. This let’s us iterate over each row in the reader object and print out the line of data, minus the commas. The reader object allows iteration, much like a regular file object does. Inside the function, we pass the file object into the csv_reader function, which returns a reader object. Then we create a very simple function called csv_reader that accepts a file object. First off, we have to actually import the csv module. Let’s take a moment to break this down a bit. Ready? Then let’s look at some code! import csv Once you have the file, we’ll be ready to start. We will be using the World Health Organization’s (WHO) website to download some information on Tuberculosis. There are many websites that provide interesting information in CSV format. But first, we need to get a CSV file so we have something to parse. You can use the csv module’s reader function or you can use the DictReader class. You can also write CSV files using the csv module. The CSV format has no standard, but they are similar enough that the csv module will be able to read the vast majority of CSV files. You can think of each line as a row and each field as a column. A CSV file is a human readable text file where each line has a number of fields, separated by commas or some other delimiter. The csv module gives the Python programmer the ability to parse CSV (Comma Separated Values) files. Python has a vast library of modules that are included with its distribution.
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