Dataframe values return all rows in 2d Numpy format excluding the header.Here, first, upload the CSV file into a data frame using read_csv().

import pandas as pdĭf = pd.read_csv('students.csv', delimiter=',') The below example shows how to read the CSV file into a list without the header by using the pandas library. Value in a cell at 2nd row and 1st column: 1 Example 3: Using Pandas to read CSV Print('Value in a cell at 2nd row and 1st column : ', value

The obtained result row of CSV and each item in the list represents a cell/column in that row.Įxample 2: Selection of data by using row and column numbersīy using a list of lists created above we can select individual data by using row and column numbers.

We want the result in list format so the list() function is used to return the result in the list of the list.

It will result in an iterator, which can be used to iterate over all the lines of the CSV file.

Here, in the first step, the file is read to be open, so open the file in reading mode and later transfer that file object into the function csv_reader().

It created a list of lists containing all rows of the CSV file and print that list of lists.

List_of_rows = list(csv_reader) # Pass reader object to list() to get a list of lists With open('students.csv', 'r') as read_obj: # read csv file as a list of listsĬsv_reader = csv.reader(read_obj) # pass the file object to reader() to get the reader object

Python has a built-in CSV module, it will help to read the data from the CSV file using a reader class.Initially, Import CSV to a list of lists using CSV.Now we have to read this file into a list of lists in python.This is a sample CSV file that will be used to read into a list. We can use other modules like pandas which are mostly used in ML applications and cover scenarios for importing CSV contents to list with or without headers.We can read the CSV files into different data structures like a list, a list of tuples, or a list of dictionaries.The different names are given to CSV files since we can export complex data from one application to a CSV file and then we can import data from these CSV file data into another application.These CSV files are also called Comma Delimited Files or Character Separated Values.These CSV files are used in different applications for exchanging data like contact managers and databases. CSV (Comma Separated Values) is a plain text file.

In this tutorial, we will learn how to read CSV to list in python.

Reading a csv file python