![]() The first row of the CSV is used as a header to determine the keys of the dictionary that are mapped to the values defined in the individual rows of the CSV file: More Python CSV Conversions The result of the previous code snippet is a list of dictionaries. Here’s the code to convert that CSV file to a list of dictionaries, one dictionary per row by using the csv.DictReader(file) function: import csvĪ dictionary is a data structure that maps keys to values. If you visualize this CSV in table form, it looks like this: Name Here’s the content of an example CSV file "my_file.csv" used in our code snippet below: Name,Job,Age,Income Let’s have a look at a simple example to demonstrate this solution next! Basic Solution: CSV to List of Dicts – Example As the last step, convert the iterable of dictionaries to a list using the Python built-in list() function.Each dictionary maps the column header from the first row to the specific row value. The return value is an iterable of dictionaries, one per row in the CSV file.Create a CSV file object f using open("my_file.csv") and pass it in the csv.DictReader(f) method.Let’s see the implementation of it.Convert a CSV file to a list of Python dictionaries in three steps: The CSV file contents are opened in read mode then they are passed into the Dict_reader( ) as a reader object, then it is passed into the list. We can also read the contents of a CSV file into dictionaries in python where each dictionary in the list will be a row from the CSV file. Reading csv into list of dictionaries using python : # Create a list of tuples for Dataframe rows using list comprehension # Create a dataframe object from the csv file Then using list comprehension we can convert the 2D numpy array into a list of tuples. We can load the contents of a CSV file into a dataframe by using read_csv( ). Reading csv into list of tuples using pandas & list comprehension : TuplesList = list(map(tuple, csv_reader)) # here passing the file object to reader() to get the reader object The only difference here is the map( ) function that accepts function and input list arguments. Just like the way we added the contents into a list of lists from CSV, we will read the CSV file and then pass it into list function to create a list of tuples. Each tuple will be representing a row and each value in the tuple represents a column value. Let’s add the contents of CSV file as a list of tuples. ] Reading csv into list of tuples using Python : # Print the list of lists with the header To include the header row, we can first read the other rows like the previous example and then add the header to the list. ![]() Using Pandas to read csv into a list of lists with header : # for creating a list of lists from Dataframe rows We have to read the CSV into a dataframe excluding the header and create a list of lists.ĭfObj = pd.read_csv('data.csv', delimiter=',') We can also select particular rows and columns from the CSV file by using Pandas. Selecting specific value in csv by specific row and column number : #The reader object is passed into the list( ) to generate a list of lists #The object having the file is passed into the reader #Opening the csv file as a list of lists in read mode Then passing the reader object into the list() will return a list of lists. Importing csv to a list of lists using csv.reader :ĬSV.reader is a python built-in function from the CSV module which will help us read the CSV file into the python. We will be using pandas module for importing CSV contents to the list without headers.ĬSV File name – data.csv Id,Name,Course,City,Sessionģ2,Veena,DSA,New York,Night Read a CSV into list of lists in python :ġ. In this article, we will demonstrate how we can import a CSV into a list, list of lists or a list of tuples in python. Read CSV into a list of lists or tuples or dictionaries | Import csv to list in Python.
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