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Python Programming for Arduino

Python Programming for Arduino

By : Pratik Desai
4.6 (22)
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Python Programming for Arduino

Python Programming for Arduino

4.6 (22)
By: Pratik Desai

Overview of this book

This is the book for you if you are a student, hobbyist, developer, or designer with little or no programming and hardware prototyping experience, and you want to develop IoT applications. If you are a software developer or a hardware designer and want to create connected devices applications, then this book will help you get started.
Table of Contents (13 chapters)
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Preface
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Free Chapter
1
1. Getting Started with Python and Arduino
1. Getting Started with Python and Arduino
Introduction to Python
Installing Python and Setuptools
The fundamentals of Python programming
Python operators and built-in types
Introduction to Arduino
Getting started with the Arduino IDE
Introduction to Arduino programming
Summary
2
2. Working with the Firmata Protocol and the pySerial Library
2. Working with the Firmata Protocol and the pySerial Library
Connecting the Arduino board
Introducing the Firmata protocol
Getting started with pySerial
Bridging pySerial and Firmata
Summary
3
3. The First Project – Motion-triggered LEDs
3. The First Project – Motion-triggered LEDs
Motion-triggered LEDs – the project description
The project goal
Method 1 – using a standalone Arduino sketch
Method 2 – using Python and Firmata
Summary
4
4. Diving into Python-Arduino Prototyping
4. Diving into Python-Arduino Prototyping
Prototyping
Working with pyFirmata methods
Prototyping templates using Firmata
Prototyping with the I2C protocol
Summary
5
5. Working with the Python GUI
5. Working with the Python GUI
Learning Tkinter for GUI design
Your first Python GUI program
The Button() widget – interfacing GUI with Arduino and LEDs
The Entry() widget – providing manual user inputs
The Scale() widget – adjusting the brightness of an LED
The Grid geometry manager
The Checkbutton() widget – selecting LEDs
The Label() widget – monitoring I/O pins
Remaking your first Python-Arduino project with a GUI
Summary
6
6. Storing and Plotting Arduino Data
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6. Storing and Plotting Arduino Data
Working with files in Python
Using CSV files to store data
Storing Arduino data in a CSV file
Getting started with matplotlib
Plotting random numbers using matplotlib
Plotting data from a CSV file
Plotting real-time Arduino data
Integrating plots in the Tkinter window
Summary
7
7. The Midterm Project – a Portable DIY Thermostat
7. The Midterm Project – a Portable DIY Thermostat
Thermostat – the project description
Stage 1 – prototyping the thermostat
Stage 2 – using a Raspberry Pi for the deployable thermostat
Summary
8
8. Introduction to Arduino Networking
8. Introduction to Arduino Networking
Arduino and the computer networking
Developing web applications using Python
RESTful web applications with Arduino and Python
MQTT – A lightweight messaging protocol
Getting started with MQTT on Arduino and Python
Summary
9
9. Arduino and the Internet of Things
9. Arduino and the Internet of Things
Getting started with the IoT
The IoT cloud platforms
Developing cloud applications using Python and Xively
Your own cloud platform for the IoT
Summary
10
10. The Final Project – a Remote Home Monitoring System
10. The Final Project – a Remote Home Monitoring System
The design methodology for IoT projects
Project overview
Stage 1 – a monitoring station using Arduino
Stage 2 – a control center using Python and the Raspberry Pi
Stage 3 – a web application using Xively, Python, and Amazon cloud service
Testing and troubleshooting
Extending your remote home monitoring system
Summary
11
11. Tweet-a-PowerStrip
11. Tweet-a-PowerStrip
Project overview
Stage 1 – a smart power strip with Arduino and relays
Stage 2 – the Python code to process tweets
Testing and troubleshooting
Extending the project with additional features
Summary
12
Index
Index

Plotting data from a CSV file

At the beginning of the chapter, we created a CSV file from Arduino data. We will be using that SensorDataStore.csv file for this section. If you recall, we used two different sensors to log the data. Hence, we have two arrays of values, one from a digital sensor and another from the analog one. Now, in the previous example, we just plotted one set of values for the y axis. So, how are we going to plot two arrays separately and in a meaningful way?

Let's start by creating a new Python program using the following lines of code or by opening the plotCSV.py file from this chapter's code folder:

import csv
from matplotlib import pyplot

i = []
mValues = []
pValues = []

with open('SensorDataStore.csv', 'r') as f:
    reader = csv.reader(f)
    header = next(reader, None)
    for row in reader:
        i.append(int(row[0]))
        pValues.append(float(row[1]))
        if row[2] == 'True':
            mValues.append(1)
        else:
            mValues.append(0)

pyplot...

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