Explore and practice the different types of plots that are instrumental in visualizing your data.

Python Data Analysis and Visualization

Visualization using Matplotlib for Python

# Different representations of color

In this lesson, we will learn about color. Matplotlib supports a variety of color definitions, which are listed below:

- `RGBA` or `RGB`: RGBA is short for red, green, blue and alpha. In this format, you pass a tuple with 3 or 4 elements between 0 and 1, such as (0.1, 0.5, 1.0) or (0.1, 0.5, 1.0, 0.6).
- `hex`: Hex RGB or RGBA string, such as **#0F0F0F** or **#0F0F0F0F**
- `single character`: Uses a single letter, such as ‘r’ for red, or ‘b’ for blue. This is the most common color definition, and it is the one that we have used many times throughout the course.
- `color name`: Uses the name of a color, such as red, blue, green.
- `Tableau Colors`: One of {'tab:blue', 'tab:orange', 'tab:green', 'tab:red', 'tab:purple', 'tab:brown', 'tab:pink', 'tab:gray', 'tab:olive', 'tab:cyan'}
- `float value in string`: Set between 0 and 1, representing gray level, such as **0.7**.


Below are examples of how to use the various color definitions we have discussed. 


In this lesson, we will learn to change the color of the plots.