# How to Annotate a Graph with Matplotlib and Python

The Matplotlib package is great for visualizing data. One of its many features is the ability to annotate points on your graph. You can use annotations to explain why a particular data point is significant or interesting.

If you haven’t used Matplotlib before, you should check out my introductory article, Matplotlib – An Intro to Creating Graphs with Python or read the official documentation.

Let’s get started!

## Installing Matplotlib

If you don’t have Matplotlib on your computer, you must install it. Fortunately, you can use pip, the Python package manager utility that comes with Python.

Open up your terminal or command prompt and run the following command:

`python -m pip install matplotlib`

Pip will now install Matplotlib and any dependencies that Matplotlib needs to work properly. Assuming that Matplotlib installs successfully, you are good to go!

## Annotating Points on a Graph

Matplotlib comes with a handy `annotate()`method that you can use. As with most of Matplotlib’s methods, `annotate()`can take quite a few different parameters.

For this example, you will be using the following parameters:

• text – The label for the annotation
• xy – The x/y coordinate of the point of interest
• arrowprops – A dictionary of arrow properties
• xytext – Where to place the text for the annotation

Now that you know what you’re doing, open up your favorite Python IDE or text editor and create a new Python file. Then enter the following code:

```import matplotlib.pylab as plt
import numpy as np

def annotated():
fig = plt.figure(figsize=(8, 6))

numbers = list(range(10))
plt.plot(numbers, np.exp(numbers))
plt.title("Annotating an Exponential Plot using plt.annotate()")
plt.xlabel("x-axis")
plt.ylabel("y-axis")

plt.annotate("Point 1", xy=(6, 400),
arrowprops=dict(arrowstyle="->"),
xytext=(4, 600))

plt.annotate("Point 2", xy=(7, 1150),
arrowprops=dict(arrowstyle="->",
xytext=(4.5, 2000))

plt.annotate("Point 3", xy=(8, 3000),
arrowprops=dict(arrowstyle="->",
connectionstyle="angle,angleA=90,angleB=0"),
xytext=(8.5, 2200))

plt.show()

if __name__ == "__main__":
annotated()
```

Here, you are creating a simple line graph. You want to annotate three points on the graph. The `arrowprops` define the `arrowstyle`and, in the latter two points, the `connectionstyle`. These properties tell Matplotlib what type of arrow to use and whether it should be connected to the text as a straight line, an arc, or a 90-degree turn.

When you run this code, you will see the following graph:

You can see how the different points are located and how the `arrowprops` lines are changed. You should check out the full documentation to learn all the details about the arrows and annotations.