These functions are passed as an argument to the csv.writer() method, and are as follows: The CSV module contains four quoting functions that can be used to surround the values to be written to your file in quotation marks so this does not happen. For example, you may have a list of suppliers where a few supplier names contain commas, which would result in our CSV file becoming malformed. However, there may be occasions when you want each value to be written to a file in quotation marks. In the above example, our code wrote the suppliers array to a new file as it appeared. HW Smith and Co, 17 Boston Avenue, Ice Cream Cones,Yes CSV File Quoting Peterson Chocolate, 129 Second Street, Chocolate Sprinkles,Yes Hendersons Creamery, 123 Main Street, Cream,Yes Here’s the code we could use to write the data we have to a file: This value holds whether or not the supplier is the primary supplier for a certain product. Let’s say that we have written a program that adds a new value to each supplier record. Then, in order to write data to our file, we use the writerow() method. The writer() function creates an object that we can use to write to a file. The writer() function allows us to write data to the file we specify so that we can save our data for later use. The CSV module contains a method that can be used to write data to a CSV file: writer(). Then, our program prints out the variable suppliers. Our program opens the file suppliers.csv, reads the file, then appends each record into the array suppliers that we declared at the start of our program. Let’s explain what is going on in our code. For example, you may have a CSV file that stores ice cream flavors or supplier information. CSV files, on the other hand, allow you to store structured data in a table format that you can reference in your code, similar to how spreadsheets and databases allow you to store structured data. Traditional text files can be useful for when you need to store data, but they cannot be used to store structured data. This data structure is referred to as CSV data or Comma-Separated Values. For example, you may have a list of ice cream orders whose values are separated with commas. When you’re working with data, you may have a list of that data separated by commas. In this tutorial, we are going to explore how to read and write to CSV files using the CSV Python module. CSV files are used to store a large amount of data, and the CSV module allows you to parse those files in Python. This is where the Python CSV module comes in. You could use Python to analyze the data you have gathered on user orders to find out about which flavors of ice cream are popular, how much people spend on those flavors, and more.
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