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

# What is `text`?

Text is basically a simpler version of `annotate`. Unlike `annotate`, we don’t need to anchor our text to one specific data location. The text feature is useful when we want to add some text to a diagram without linking it to any specified data. For example, if we want to present some textual information or provide an explanation.

Although the purpose of `tex`t is simple, it is a rich feature. Just like with `annotate`, we can control the appearance of the text by setting a number of options, most of which are related to presentation style. Some of the most common options will be introduced in this lesson.

# How to add text to a plot

`text()` is the main function we can use to add text to a plot. 

We start by adding the string “function” with `fontsize=12` to the location (10, 20). By default, the location is given in data coordinates. The coordinate system can be changed using the `transform` parameter. 

```python
text(10, 20, "function", fontsize=12)
```

The default transform specifies that the text location is given in data coords. Alternatively, we can specify the text location in axis coords (`0,0 is lower-left and 1,1 is upper-right`). The example below places the text in the center of the axes.
```python
text(0.5, 0.5, 'function', horizontalalignment='center',
    verticalalignment='center', transform=ax.transAxes)
```

If we want to put a frame around the text, we can use the option `bbox`. The example code below adds a box with a red background to our text.
```python
text(10, 20, "function", bbox=dict(facecolor='red', alpha=0.5))
```

In this lesson, we will learn how to add text to a plot, and how to change the style of the text.

Adding Text to a Plot

What is text?

What is `text`?