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Python•Data Science and Scientific Python

Matplotlib Markers

Markers

You can use the keyword argument marker to emphasize each point with a specified marker:

Example

import matplotlib.pyplot as plt

import numpy as np

ypoints = np.array([3, 8, 1, 10])

plt.plot(ypoints, marker = 'o')

plt.show()

Example

...

plt.plot(ypoints, marker = '*')

...

Format Strings fmt

You can also use the shortcut string notation parameter to specify the marker.

This parameter is also called fmt , and is written with this syntax:

Example

import matplotlib.pyplot as plt

import numpy as np

ypoints = np.array([3, 8, 1, 10])

plt.plot(ypoints, 'o:r')

plt.show()

The marker value can be anything from the Marker Reference above.

The line value can be one of the following:

Marker Size

You can use the keyword argument markersize or the shorter version, ms to set the size of the markers:

Example

import matplotlib.pyplot as plt

import numpy as np

ypoints = np.array([3, 8, 1, 10])

plt.plot(ypoints, marker = 'o', ms = 20)

plt.show()

Marker Color

You can use the keyword argument markeredgecolor or the shorter mec to set the color of the edge of the markers:

Example

import matplotlib.pyplot as plt

import numpy as np

ypoints = np.array([3, 8, 1, 10])

plt.plot(ypoints, marker = 'o', ms = 20, mec = 'r')

plt.show()

You can use the keyword argument markerfacecolor or the shorter mfc to set the color inside the edge of the markers:

Example

import matplotlib.pyplot as plt

import numpy as np

ypoints = np.array([3, 8, 1, 10])

plt.plot(ypoints, marker = 'o', ms = 20, mfc = 'r')

plt.show()

Use both the mec and mfc arguments to color the entire marker:

Example

import matplotlib.pyplot as plt

import numpy as np

ypoints = np.array([3, 8, 1, 10])

plt.plot(ypoints, marker = 'o', ms = 20, mec = 'r', mfc = 'r')

plt.show()

You can also use Hexadecimal color values :

Example

...

plt.plot(ypoints, marker = 'o', ms = 20, mec = '#4CAF50', mfc = '#4CAF50')

...

Or any of the 140 supported color names .

Example

...

plt.plot(ypoints, marker = 'o', ms = 20, mec = 'hotpink', mfc = 'hotpink')

...

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