## Grouped barplot

You can plot a grouped barplot using the `bar()`

function of matplotlib. The following example displays **5 different groups with their 3 variables**. In order to do that, the values and positions of variables are passed to 3 `bar()`

functions.

Note that if you want to turn the graph into a stacked area barplot, you can check the following post.

```
import numpy as np
import matplotlib.pyplot as plt
# Data
barWidth = 0.25
bars1 = [12, 30, 1, 8, 22]
bars2 = [28, 6, 16, 5, 10]
bars3 = [29, 3, 24, 25, 17]
# Bar positions
r = np.arange(len(bars1))
r2 = r + barWidth
r3 = r2 + barWidth
# Plotting
fig, ax = plt.subplots(dpi=300)
ax.bar(r, bars1, color='#7f6d5f', width=barWidth, edgecolor='white', label='var1')
ax.bar(r2, bars2, color='#557f2d', width=barWidth, edgecolor='white', label='var2')
ax.bar(r3, bars3, color='#2d7f5e', width=barWidth, edgecolor='white', label='var3')
# Xticks
ax.set_xlabel('group', fontweight='bold')
ax.set_xticks(r + barWidth)
ax.set_xticklabels(['A', 'B', 'C', 'D', 'E'])
# Legend and show
ax.legend()
plt.show()
```

## Going further

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