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# Matplotlib Bars

## Creating Bars

With Pyplot, you can use the `bar()` function to draw bar graphs:

### Example

Draw 4 bars:

import matplotlib.pyplot as plt
import numpy as np

x = np.array(["A", "B", "C", "D"])
y = np.array([3, 8, 1, 10])

plt.bar(x,y)
plt.show()

### Result: Try it Yourself »

The `bar()` function takes arguments that describes the layout of the bars.

The categories and their values represented by the first and second argument as arrays.

### Example

x = ["APPLES", "BANANAS"]
y = [400, 350]
plt.bar(x, y)

## Horizontal Bars

If you want the bars to be displayed horizontally instead of vertically, use the `barh()` function:

### Example

Draw 4 horizontal bars:

import matplotlib.pyplot as plt
import numpy as np

x = np.array(["A", "B", "C", "D"])
y = np.array([3, 8, 1, 10])

plt.barh(x, y)
plt.show()

### Result: Try it Yourself »

## Bar Color

The `bar()` and `barh()` takes the keyword argument `color` to set the color of the bars:

### Example

Draw 4 red bars:

import matplotlib.pyplot as plt
import numpy as np

x = np.array(["A", "B", "C", "D"])
y = np.array([3, 8, 1, 10])

plt.bar(x, y, color = "red")
plt.show()

### Result: Try it Yourself »

### Color Names

You can use any of the 140 supported color names.

### Example

Draw 4 "hot pink" bars:

import matplotlib.pyplot as plt
import numpy as np

x = np.array(["A", "B", "C", "D"])
y = np.array([3, 8, 1, 10])

plt.bar(x, y, color = "hotpink")
plt.show()

### Result: Try it Yourself »

### Color Hex

Or you can use Hexadecimal color values:

### Example

Draw 4 bars with a beautiful green color:

import matplotlib.pyplot as plt
import numpy as np

x = np.array(["A", "B", "C", "D"])
y = np.array([3, 8, 1, 10])

plt.bar(x, y, color = "#4CAF50")
plt.show()

### Result: Try it Yourself »

## Bar Width

The `bar()` takes the keyword argument `width` to set the width of the bars:

### Example

Draw 4 very thin bars:

import matplotlib.pyplot as plt
import numpy as np

x = np.array(["A", "B", "C", "D"])
y = np.array([3, 8, 1, 10])

plt.bar(x, y, width = 0.1)
plt.show()

### Result: Try it Yourself »

The default width value is 0.8

Note: For horizontal bars, use `height` instead of `width`.

## Bar Height

The `barh()` takes the keyword argument `height` to set the height of the bars:

### Example

Draw 4 very thin bars:

import matplotlib.pyplot as plt
import numpy as np

x = np.array(["A", "B", "C", "D"])
y = np.array([3, 8, 1, 10])

plt.barh(x, y, height = 0.1)
plt.show()

### Result: Try it Yourself »

The default height value is 0.8