DictReader

DictReader is a class provided by Python's built-in csv module. It offers a convenient way to read CSV files where each row is treated as a dictionary. Instead of accessing data by numerical index, you can access fields by their column header names, making code more readable and less prone to errors if the column order changes.

When you create a DictReader object, it automatically uses the first row of the CSV file as the keys for the dictionaries it generates. Subsequent rows are then read and parsed into dictionaries, with the values corresponding to the respective column headers. This simplifies data manipulation, as you can directly access, for example, row['name'] instead of row[0] if 'name' is the first column.

To use DictReader, you typically open a CSV file and pass the file object to the DictReader constructor. You can then iterate over the DictReader object, and each iteration yields a dictionary representing a row from the CSV. This approach is particularly useful when dealing with CSV files that have a significant number of columns or when the order of columns might not be consistent. The module also handles quoting and delimiters automatically, adhering to standard CSV parsing rules.