In the dictionary, the keys consist of the column names of the csv file whereas the values associated with the keys are values present in a particular column in a row. The DictReader object works as an iterator and contains each row of the csv file as a dictionary.The csv.DictReader() function takes the file object as its input argument and returns a DictReader object. After obtaining the file object from the open() function, we will create a DictReader object using the csv.DictReader() function.After execution, it returns a file object that contains the csv file.
The open() function takes the file name as its first input argument and the literal “r” as its second input argument to show that the file is opened in the read mode. First, we will open the csv file using the open() function in the read mode.After creating the DictReader object, we can create a list of dictionaries from the csv file using the following steps. To read a csv file into a list of dictionaries, we will create a csv.DictReader object using the csv.DictReader() method. In python, we can use the csv module to work with csv files. Read CSV Into List of Dictionaries Using csv.DictReader() In this article, we will discuss how we can read a csv file into a list of dictionaries in python. Similarly, a python dictionary is used to store key-value pairs in Python. CSV files are used to store structured data where each row in the csv file stores an entry in which each value is associated with the column name.
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