Python Data Import and Plotting

Revision sheet excerpt

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

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Quiz preview

1. What structural feature does Python use to define blocks of code?

2. Which pair of applications is emphasized for Python in physics and chemistry?

3. How is a typical data table organized, and what do its columns represent?

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Flashcards preview

What is the basis of Python's simple syntax?

Indentation rather than symbols.

Since when has Python been developed?

Since 1989.

How can Python be used online?

With the Python laboratory.

Name two Python distributions mentioned.

E-dypthon and Anaconda.

Which two Python applications does this course focus on?

Importing data and representing data graphically.

How is a data table organized?

Into rows and columns.

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