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Introduction to Python for MATLAB Users

CSV and Excel Files

Learn to read and write CSV and Excel files in MATLAB and Python.

We'll cover the following...

Reading data from a CSV file

To read a CSV file in MATLAB, we can use the readtable() function. This function reads a CSV file and returns a table array, a special type of array representing tabular data.

C++
% Read the CSV file into a table array
T = readtable('data.csv');
% Display file data
disp(T)

The output of the above code will be:

C
         Date           Time       Temperature
    ______________    _________    ___________
    {'06-06-2000'}    {'23:00'}     {'78°C'}  
    {'06-06-2000'}    {'02:00'}     {'72°C'}  
    {'06-06-2000'}    {'12:20'}     {'64°C'}  
    {'06-06-2000'}    {'06:50'}     {'66°C'}  
    {'06-06-2000'}    {'03:32'}     {'49°C'}

The code above reads the CSV file data.csv into a table array T.

To read a CSV file in Python, we can use the CSV module to parse the file and read its contents into a list of rows.

Python 3.10.4
import csv
with open('data.csv', 'r') as myFile:
    reader = csv.reader(myFile)
    for row in reader:
        print(row)

This code opens the CSV file data.csv in read mode, reads the contents of the file into a list of rows using the csv.reader() function, and then prints the contents of the list.

We can display the above data in tabular form using the pandas ...