Python Data Import and Plotting

📋 Course Outline

1. Python Programming Context
2. Data File Organization
3. NumPy Data Import
4. Matplotlib Plot Construction
5. Points Vectors and Annotations

📖 1. Python Programming Context

★ Must-know

• Python is a programming language developed since 1989 whose simple syntax is based on indentation rather than symbols.

• This course focuses on two Python applications in physics and chemistry: importing data and representing data graphically.

Further detail

• Python can be used online with the Python laboratory or through distributions such as E-dypthon and Anaconda.

📖 2. Data File Organization

🔑 Key Concepts & Definitions

• Data table : Organized into rows and columns and commonly contains two columns for the data used in the course.

★ Must-know

• A data file may use a comma or a point to separate the integer and decimal parts of numerical values, so the separator format must be identified before import.

Further detail

• Before importing a file, the user must identify the number of lines to ignore, including possible column headings or units, and the columns to import.

• The example data file is named donnees.txt and contains measurements arranged in columns such as t, x, and y, with units shown in a separate line.

📖 3. NumPy Data Import