Summary  
This chapter covers how to customize plot axes by setting axis label names and rotating tick labels.

General domain of usage  
Data visualization

### Setting label names:

To set label names, we need to set a plot variable and use:

```python
# g is the plot variable.
g.set(xlabel = 'x_name', ylabel = 'y_name')
```


### X(y)ticks rotation:

To rotate labels, we need to use:

```python
# n is the angle
plt.xticks(rotation = n)
plt.yticks(rotation = n)
```

Together we will make the first dive into visualization based on a seaborn library. We will learn how to build simple plots and how to customize them. You will cope faster with tasks if you know something about pandas. Do not hesitate, and let's go!

In this section, we will learn about the seaborn library and build our first plot! We will also learn about the friendship between the pandas and the Seaborn.

We continue learning plots with Seaborn.\n\nYou will learn some more new plots and even build 3-variable plot!

Plots seem so boring without customization...\nIn this section, we will learn how to make our plots perfectly styled!!

Let's Cope with Axes

Setting label names:

X(y)ticks rotation:

Ratkaisu

Awesome!

Let's Cope with Axes

Setting label names:

X(y)ticks rotation:

Ratkaisu

Awesome!

Let's Cope with Axes

Setting label names:

X(y)ticks rotation:

Ratkaisu