Anatomy of a plot

Before starting to visualize our data on a plot our data we need to address an obvious question: What actually is a plot? We will not go deep into the details of different types of plots (as it is not the purpose of this lesson), but rather we provide a brief introduction to different plots that can be created using Python and the (essential) elements of a plot.

There are a variety of different kinds of plots (also known as graphs, charts, diagrams, etc.) available that have been designed to visually represent the characteristics of a dataset. Here is a list of several different types of plots that can be used to present different kinds of data.

In spite of the large variety of types of plots, there are certain elements that are common for most of them (not all). Thus, it is useful to know at least the basic terminology since it makes it easier to find help and information from the internet when you start creating or modifying your own plots.

The figure below illustrates different elements of a basic line plot.

Basic elements of a plot

Basic elements of a plot.

Common plotting terms

These common terms may vary a bit depending on the plotting library that you use. For the list provided here we are using the typical terms for plotting in Matplotlib (see also the figure above).

Term

Description

axis

Axes of the graph that are typically x, y, and z (for 3D plots).

title

Title of the plot.

label

Name for the axis (e.g. xlabel or ylabel).

legend

Legend for the plot.

tick label

Text or values that are represented on the axis.

symbol

Symbol for data point(s) (on a scatter plot) that can be presented with different symbol shapes/colors.

size

Size of, for example, a point on a scatter plot. Also used for referring to the text sizes on a plot.

linestyle

The style how the line should be drawn. Can be solid or dashed, for example.

linewidth

The width of a line on a plot.

alpha

Transparency level of a filled element in a plot (values between 0.0 (fully transparent) and 1.0 (no transparency)).

tick(s)

Refers to the tick marks on a plot.

annotation

Refers to the text added to a plot.

padding

The distance between an (axis/tick) label and the axis.