## Libraries & Dataset

A barplot shows the relationship between a **numeric** and a **categoric** variable.

Let's load the `numpy`

and `matplotlib`

libraries that are necessary to build a barplot. If you're not familiar with `matplotlib`

yet, it is the most widespread library for dataviz in python, and the gallery has a dedicated section on it.

Then, let's build a small dataset.

```
# Libraries
import numpy as np
import matplotlib.pyplot as plt
# Create dataset
height = [3, 12, 5, 18, 45]
bars = ('A', 'B', 'C', 'D', 'E')
x_pos = np.arange(len(bars))
```

## Basic barplot

This example shows probably the most basic barplot you can do with python and matplotlib. The `bar()`

function used with the following parameters:

`x`

: The x coordinates of the bars. (x_pos in the example)`height`

: The height(s) of the bars.

```
# Create bars
plt.bar(x_pos, height)
# Create names on the x-axis
plt.xticks(x_pos, bars)
# Show graphic
plt.show()
```

## Going further

This post explains how to create a basic barplot using matplotlib!

For more examples of **how to create or customize** your barplots, see the barplot section. You may also be interested in how to custom colors in a barplot.